The demand for Data Analytics professionals in South Africa is experiencing substantial growth, reflecting the increasing importance of data-driven decision-making across various industries. Companies are actively seeking skilled individuals who can transform raw data into actionable insights. This surge in demand presents numerous opportunities for those with expertise in 777 Data Analytics jobs in South Africa
Data Analytics
Posted today
Job Viewed
Job Description
Company Description
At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek.
Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems.
Deloitte offers career opportunities across Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T).
Are you ready to apply your knowledge and background to exciting new challenges? From learning to leadership, this is your chance to take your career to the next level.
About the Division
Our Audit & Assurance services go beyond merely meeting statutory requirements. We help our clients perform better and achieve their business objectives. We listen to their needs, think about the business implications and tailor our approach accordingly. Click here to read more about our Audit & Assurance practice
Job Description
As an Associate Director the main purpose of the job is to support the Business Area Leader through driving and implementation of strategy, revenue generation and business growth specifically in the area of Data Management.
Technical Competencies
- Expertise in data management with excellent industry and business knowledge
- Strong business acumen
- Demonstrated leadership skills
- Sales and negotiation skills
- Ability to manage and execute projects
- Demonstrated execution of complex projects to profitable outcomes
- Skilled in drafting and presenting client proposals
Across multiple areas including:
- Data Governance
- Master Data management
- Meta Data management
- Data Privacy
- Data Architecture
- Data Modelling
- Agile programme delivery
Behavioural Competencies
- Exceptional communication skills, both written and verbal
- Able deliver multiple engagements on time and within budget
- Proven ability to make decisions and the right judgement calls in complex projects and situations
- Creates a culture of trust, ownership and accountability across teams and projects
- On the job coaching for managers and professional staff and taking accountability for multiple large engagements
- Manages large engagement / multiple engagement deadlines holistically, identifying risks and escalating
- Drives continuous improvement
- Custodian of the business, shaping offerings that we need to proactively take to the market
Qualifications
Minimum Qualifications
- BSC Computer Science, BSC Honours Computer Science, BSC Maths Statistics, BEng (all disciplines), BCom (Informatics preferred). Or if direct entry proven experience and any relevant qualifications
Desired Qualifications
- Certifications in analytics practices, technologies or advanced degrees in data management/data analytics, advanced degrees in business such as an MBA or MBL advantageous
Minimum Experience
- 12 years working experience
- Analytics experience in leading delivery and selling solutions across the spectrum (data management, data engineering, machine learning etc.) to address business requirements. Proven track record of successful projects in the Data management space.
- Running a team or group including P&L, or market offering
- Lead executive-level meetings , discussions and best practices development
- Lead sales activities (RFP, orals, etc.)
- Board and executive level experience
Desired Experience
- 12 years relevant working in a client facing role; 6 of these in a senior management/leadership role; Business development / market making experience
Additional Information
At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.
Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.
Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information.
To help you look out for potential recruitment scams, here are some Red Flags:
- Upfront Payment Requests: Deloitte will never ask for any upfront payment for background checks, job training, or supplies.
- Requests for Personal Information: Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent's data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process.
- Unprofessional Communication: Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand.
If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email.
Data Analytics
Posted today
Job Viewed
Job Description
Want to join a frontrunner in renewable energy that is actively seeking early entry into new markets globally? Since the establishment in 2007, Scatec has acquired extensive knowledge and experience in developing, building and operating solar, wind and hydro power plants and storage solutions. Driven by our company values and competent global workforce, we aim to deliver competitive and sustainable renewable energy globally; protect our environment and improve quality of life through innovative integration of technology; and create shareholder value. We are present on four continents and are headquartered in Oslo, Norway.
Main purpose of position
Currently we are looking for a
Data Analytics & AI Lead
in
Cape Town, South Africa
to be part of our global team working together towards our vision –
Improving our future.
As our
Data Analytics & AI Lead
you will lead the design and expansion of the Data & Analytics Platform through hands-on work in Azure Databricks, work closely with global teams and Digital & IT to align data needs and integrate solutions, drive adoption of data-driven workflows in partnership with business stakeholders, and develop AI use cases that support strategic decisions.
Main Responsibilities
- Lead the development and implementation of data analytics and AI strategies to drive business growth and innovation.
- Oversee the design and execution of data-driven projects, ensuring alignment with organizational goals and objectives.
- Guide the platform's evolution by adopting Modern Data Architecture practices, including Infrastructure as Code (IaC) and Azure DevOps for agile development and operations (DataOps).
- Collaborate with cross-functional teams to integrate data analytics and AI solutions into existing systems and processes, ensuring seamless adoption and scalability.
- Stay abreast of industry trends and advancements in AI and data analytics, incorporating relevant insights into strategic planning and execution.
- Provide guidance and mentorship to team members, fostering a culture of continuous learning and improvement.
- Work closely with the Head of Enterprise Architecture to ensure alignment and integration of the Data & Analytics Platform within the broader enterprise architecture landscape.
- Ensure compliance with data privacy and security regulations, maintaining the integrity and confidentiality of sensitive information
Qualifications And Competencies
- 8+ years of relevant experience in data architecture, data management and data modelling
- Extensive experience in data architecture, particularly within a modern data environment utilizing Azure Databricks, dbt, Terraform, and Azure DevOps.
- Significant hands-on experience in data engineering, including but not limited to the development and optimization of data pipelines, data modelling, and data lakehouse.
- Proven track record in leading the development and expansion of large-scale data platforms, preferably within a Modern Data Architecture deployment.
- Strong familiarity with cloud-based data solutions, particularly within the Azure ecosystem.
- Experience leading and managing cross-functional teams, including business analysts, data analysts, and data engineers.
- Interest in data analytics trends and advancements, e.g. AI, Industry 4.0
- Expertise in SQL and Python for advanced data manipulation, modelling, analysis, and processing within a Data Lakehouse context.
- Familiar with modern data transformation tools, such as dbt
- Strong experience with Azure cloud data services, particularly those relevant to Data Lakehouse architecture such as Azure Data Lake Storage, Azure Databricks, and related technologies.
Personal characteristics
It is part of every employee's terms of reference to contribute to Scatec's vision: Improving our Future and adhere to our company values which are:
- Predictable: demonstrate clear communication and listening skills, shares information in an open and honest way
- Driving results: demonstrate determination, pro-activeness, can prioritise and work independently
- Changemaker: demonstrate entrepreneurship, can challenge, fast learner, take initiates and adjust
- Working together: demonstrate teamwork, shares responsibilities, can compromise, has a can-do attitude
For the particular role we also expect
- Demonstrated ability to implement and manage data solutions that align with the principles of Modern Data architecture, specifically within the framework of a Data Lakehouse model.
- Strong data modelling capability, conceptual modelling, dimensional modelling, knowledge graphs
- Fluent (both written and spoken) in English
We offer
Scatec is an exciting, innovative and ambitious company operating in a growing industry. We offer a challenging and interesting position where you will be part of a flexible, diverse and truly international working environment consisting of highly competent and committed colleagues with a positive drive to make a difference.
Scatec is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other basis protected by appropriate law. All hiring decisions are made based on merit, competence and business need.
Applications will be processed on a continuous basis
Data Analytics Engineer
Posted 16 days ago
Job Viewed
Job Description
Main focus of the role
We are seeking a technically excellent, customer-focused Analytics Engineer to drive data integration and transformation for a telecoms analytics platform we are taking to market. This role sits at the intersection of client data environments and our internal product development efforts—requiring both business insight and technical acumen.
Your primary focus will be to gather, clarify, and deeply understand business and reporting requirements—often expressed in SQL, Excel, or ad hoc analysis. You will work closely with business stakeholders, analysts, and the data architecture team to translate these requirements into clear, actionable technical specifications.
Working as part of a collaborative team, you’ll help ensure these specifications are accurately and efficiently implemented—typically in PySpark/SparkSql based data pipelines—by supporting the development process, providing subject-matter expertise, and validating that delivered data outputs match the original requirements. Your work will be critical in ensuring that our analytics solutions are robust, repeatable, and deliver trusted results to the business
This role requires a strong analytical mindset, excellent communication skills, and hands-on experience with data transformation and integration processes.
What you’ll do
- Customer Engagement & Requirements Gathering
- Engage directly with customers to understand their business needs and data environments.
- Elicit, document, and validate functional and non-functional requirements.
- Conduct workshops and interviews with client stakeholders to capture use cases and success criteria.
- Data Analysis & Integration Design
- Analyze complex customer data sets, schemas, and data flows to assess integration needs.
- Collaborate with data engineers and developers to design effective data ingestion, transformation, and mapping processes.
- Validate data quality, completeness, and alignment with business requirements.
- Technical Collaboration & Delivery
- Support the development of scalable data integration and transformation pipelines by assisting with coding, testing, and implementing solutions—primarily using PySpark, SparkSQL, and Python.
- Translate business and analytical requirements into clear, actionable technical specifications to guide the engineering team’s implementation.
- Contribute hands-on to codebases: write and review code, implement validation checks, and assist with the development of complex transformation logic as needed.
- Help automate and maintain data validation and quality checks to ensure reliability and accuracy of analytics outputs.
- Collaborate closely with the FPA team to understand financial reporting needs, ensure alignment of technical solutions with finance objectives, and validate outputs support business decision-making.
- Work with modern data formats and platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks, etc.) to enable efficient data handling and integration.
- Participate in solution architecture and technical discussions, collaborating on user story creation and acceptance criteria to ensure technical solutions align with business needs.
- Product & Analytics Alignment
- Work closely with our product team to ensure that customer data is accurately reflected in analytics outputs.
- Provide feedback on product improvements based on client needs and data insights.
- Monitor and evaluate the effectiveness of integrated data in supporting customer decision-making.
To fly in your role, you’ll need
- 5+ years’ experience in data analytics, data engineering, or related technical roles, with significant hands-on coding in Python, PySpark, and SQL.Proven experience working on data integration projects (ETL, data pipelines, APIs).
- Proven ability to build and support data integration pipelines (ETL, dataflows, APIs) at scale.Ability to translate complex technical concepts into business language and vice versa.
- Strong experience with relational databases and data modelling; experience with modern analytics platforms (Databricks, Delta Lake, cloud storage) is a plus.Experience in Agile/Scrum environments.
- Track record of translating business logic and requirements into production-grade, testable code.Experience working with data analytics tools and platforms (e.g., Power BI, SuperSet, Tableau, Looker, Grafana).
- Solid grasp of data quality, data validation, and monitoring concepts.
- Strong communication skills—able to present technical logic and results to both technical and non-technical audiences.
- Experience in Agile/Scrum environments and working collaboratively with both business and engineering teams.
Nice to have
- Experience in the telecoms industry.
- Familiarity with the software development lifecycle and Agile methodologies
- Infrastructure as code experience. (terraform and Pulumi)
- Experience working in a scale up/dynamic consulting environment.
- Exposure to accounting concepts.
Benefits
- Working
- Fully remote working / or from the office with daily lunch
- Flexible working hours
- High-spec Dell laptop
- Money towards a keyboard of your choice, that is yours to keep
- Insurance - fully paid on top of, not out of your salary
- Medical Aid, including Gap Cover
- Life Insurance, with Disability Insurance and Funeral cover
- Learning
- Learning Budget - Books or Courses - you choose how to use it
- Culture
- People-first culture that encourages work/life balance
- Everyone has a voice, regardless of title
- Psychological safety
- Leave
- 20 days annual leave
- Paid Maternity, Paternity, Study & Moving, Conference, CSR Volunteering leave
- Long-Term Loyalty Benefits
- 2 years - monthly budget towards a cell phone contract, uber travel vouchers or petrol card
- 3 years – can apply for a study bursary to enhance your current and future role with us
- 5 years - 3 additional days of annual leave
- 7 years – a local weekend away at our cost
- 10 years - 3 month paid sabbatical
Interested?
Send your CV to
Data Analytics Engineer
Posted 16 days ago
Job Viewed
Job Description
Main focus of the role
We are seeking a technically excellent, customer-focused Analytics Engineer to drive data integration and transformation for a telecoms analytics platform we are taking to market. This role sits at the intersection of client data environments and our internal product development efforts—requiring both business insight and technical acumen.
Your primary focus will be to gather, clarify, and deeply understand business and reporting requirements—often expressed in SQL, Excel, or ad hoc analysis. You will work closely with business stakeholders, analysts, and the data architecture team to translate these requirements into clear, actionable technical specifications.
Working as part of a collaborative team, you’ll help ensure these specifications are accurately and efficiently implemented—typically in PySpark/SparkSql based data pipelines—by supporting the development process, providing subject-matter expertise, and validating that delivered data outputs match the original requirements. Your work will be critical in ensuring that our analytics solutions are robust, repeatable, and deliver trusted results to the business
This role requires a strong analytical mindset, excellent communication skills, and hands-on experience with data transformation and integration processes.
What you’ll do
- Customer Engagement & Requirements Gathering
- Engage directly with customers to understand their business needs and data environments.
- Elicit, document, and validate functional and non-functional requirements.
- Conduct workshops and interviews with client stakeholders to capture use cases and success criteria.
- Data Analysis & Integration Design
- Analyze complex customer data sets, schemas, and data flows to assess integration needs.
- Collaborate with data engineers and developers to design effective data ingestion, transformation, and mapping processes.
- Validate data quality, completeness, and alignment with business requirements.
- Technical Collaboration & Delivery
- Support the development of scalable data integration and transformation pipelines by assisting with coding, testing, and implementing solutions—primarily using PySpark, SparkSQL, and Python.
- Translate business and analytical requirements into clear, actionable technical specifications to guide the engineering team’s implementation.
- Contribute hands-on to codebases: write and review code, implement validation checks, and assist with the development of complex transformation logic as needed.
- Help automate and maintain data validation and quality checks to ensure reliability and accuracy of analytics outputs.
- Collaborate closely with the FPA team to understand financial reporting needs, ensure alignment of technical solutions with finance objectives, and validate outputs support business decision-making.
- Work with modern data formats and platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks, etc.) to enable efficient data handling and integration.
- Participate in solution architecture and technical discussions, collaborating on user story creation and acceptance criteria to ensure technical solutions align with business needs.
- Product & Analytics Alignment
- Work closely with our product team to ensure that customer data is accurately reflected in analytics outputs.
- Provide feedback on product improvements based on client needs and data insights.
- Monitor and evaluate the effectiveness of integrated data in supporting customer decision-making.
To fly in your role, you’ll need
- 5+ years’ experience in data analytics, data engineering, or related technical roles, with significant hands-on coding in Python, PySpark, and SQL.Proven experience working on data integration projects (ETL, data pipelines, APIs).
- Proven ability to build and support data integration pipelines (ETL, dataflows, APIs) at scale.Ability to translate complex technical concepts into business language and vice versa.
- Strong experience with relational databases and data modelling; experience with modern analytics platforms (Databricks, Delta Lake, cloud storage) is a plus.Experience in Agile/Scrum environments.
- Track record of translating business logic and requirements into production-grade, testable code.Experience working with data analytics tools and platforms (e.g., Power BI, SuperSet, Tableau, Looker, Grafana).
- Solid grasp of data quality, data validation, and monitoring concepts.
- Strong communication skills—able to present technical logic and results to both technical and non-technical audiences.
- Experience in Agile/Scrum environments and working collaboratively with both business and engineering teams.
Nice to have
- Experience in the telecoms industry.
- Familiarity with the software development lifecycle and Agile methodologies
- Infrastructure as code experience. (terraform and Pulumi)
- Experience working in a scale up/dynamic consulting environment.
- Exposure to accounting concepts.
Benefits
- Working
- Fully remote working / or from the office with daily lunch
- Flexible working hours
- High-spec Dell laptop
- Money towards a keyboard of your choice, that is yours to keep
- Insurance - fully paid on top of, not out of your salary
- Medical Aid, including Gap Cover
- Life Insurance, with Disability Insurance and Funeral cover
- Learning
- Learning Budget - Books or Courses - you choose how to use it
- Culture
- People-first culture that encourages work/life balance
- Everyone has a voice, regardless of title
- Psychological safety
- Leave
- 20 days annual leave
- Paid Maternity, Paternity, Study & Moving, Conference, CSR Volunteering leave
- Long-Term Loyalty Benefits
- 2 years - monthly budget towards a cell phone contract, uber travel vouchers or petrol card
- 3 years – can apply for a study bursary to enhance your current and future role with us
- 5 years - 3 additional days of annual leave
- 7 years – a local weekend away at our cost
- 10 years - 3 month paid sabbatical
Interested?
Send your CV to
Data Analytics Engineer
Posted 16 days ago
Job Viewed
Job Description
Main focus of the role
We are seeking a technically excellent, customer-focused Analytics Engineer to drive data integration and transformation for a telecoms analytics platform we are taking to market. This role sits at the intersection of client data environments and our internal product development efforts—requiring both business insight and technical acumen.
Your primary focus will be to gather, clarify, and deeply understand business and reporting requirements—often expressed in SQL, Excel, or ad hoc analysis. You will work closely with business stakeholders, analysts, and the data architecture team to translate these requirements into clear, actionable technical specifications.
Working as part of a collaborative team, you’ll help ensure these specifications are accurately and efficiently implemented—typically in PySpark/SparkSql based data pipelines—by supporting the development process, providing subject-matter expertise, and validating that delivered data outputs match the original requirements. Your work will be critical in ensuring that our analytics solutions are robust, repeatable, and deliver trusted results to the business
This role requires a strong analytical mindset, excellent communication skills, and hands-on experience with data transformation and integration processes.
What you’ll do
- Customer Engagement & Requirements Gathering
- Engage directly with customers to understand their business needs and data environments.
- Elicit, document, and validate functional and non-functional requirements.
- Conduct workshops and interviews with client stakeholders to capture use cases and success criteria.
- Data Analysis & Integration Design
- Analyze complex customer data sets, schemas, and data flows to assess integration needs.
- Collaborate with data engineers and developers to design effective data ingestion, transformation, and mapping processes.
- Validate data quality, completeness, and alignment with business requirements.
- Technical Collaboration & Delivery
- Support the development of scalable data integration and transformation pipelines by assisting with coding, testing, and implementing solutions—primarily using PySpark, SparkSQL, and Python.
- Translate business and analytical requirements into clear, actionable technical specifications to guide the engineering team’s implementation.
- Contribute hands-on to codebases: write and review code, implement validation checks, and assist with the development of complex transformation logic as needed.
- Help automate and maintain data validation and quality checks to ensure reliability and accuracy of analytics outputs.
- Collaborate closely with the FPA team to understand financial reporting needs, ensure alignment of technical solutions with finance objectives, and validate outputs support business decision-making.
- Work with modern data formats and platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks, etc.) to enable efficient data handling and integration.
- Participate in solution architecture and technical discussions, collaborating on user story creation and acceptance criteria to ensure technical solutions align with business needs.
- Product & Analytics Alignment
- Work closely with our product team to ensure that customer data is accurately reflected in analytics outputs.
- Provide feedback on product improvements based on client needs and data insights.
- Monitor and evaluate the effectiveness of integrated data in supporting customer decision-making.
To fly in your role, you’ll need
- 5+ years’ experience in data analytics, data engineering, or related technical roles, with significant hands-on coding in Python, PySpark, and SQL.Proven experience working on data integration projects (ETL, data pipelines, APIs).
- Proven ability to build and support data integration pipelines (ETL, dataflows, APIs) at scale.Ability to translate complex technical concepts into business language and vice versa.
- Strong experience with relational databases and data modelling; experience with modern analytics platforms (Databricks, Delta Lake, cloud storage) is a plus.Experience in Agile/Scrum environments.
- Track record of translating business logic and requirements into production-grade, testable code.Experience working with data analytics tools and platforms (e.g., Power BI, SuperSet, Tableau, Looker, Grafana).
- Solid grasp of data quality, data validation, and monitoring concepts.
- Strong communication skills—able to present technical logic and results to both technical and non-technical audiences.
- Experience in Agile/Scrum environments and working collaboratively with both business and engineering teams.
Nice to have
- Experience in the telecoms industry.
- Familiarity with the software development lifecycle and Agile methodologies
- Infrastructure as code experience. (terraform and Pulumi)
- Experience working in a scale up/dynamic consulting environment.
- Exposure to accounting concepts.
Benefits
- Working
- Fully remote working / or from the office with daily lunch
- Flexible working hours
- High-spec Dell laptop
- Money towards a keyboard of your choice, that is yours to keep
- Insurance - fully paid on top of, not out of your salary
- Medical Aid, including Gap Cover
- Life Insurance, with Disability Insurance and Funeral cover
- Learning
- Learning Budget - Books or Courses - you choose how to use it
- Culture
- People-first culture that encourages work/life balance
- Everyone has a voice, regardless of title
- Psychological safety
- Leave
- 20 days annual leave
- Paid Maternity, Paternity, Study & Moving, Conference, CSR Volunteering leave
- Long-Term Loyalty Benefits
- 2 years - monthly budget towards a cell phone contract, uber travel vouchers or petrol card
- 3 years – can apply for a study bursary to enhance your current and future role with us
- 5 years - 3 additional days of annual leave
- 7 years – a local weekend away at our cost
- 10 years - 3 month paid sabbatical
Interested?
Send your CV to
Data Analytics Engineer
Posted 16 days ago
Job Viewed
Job Description
Main focus of the role
We are seeking a technically excellent, customer-focused Analytics Engineer to drive data integration and transformation for a telecoms analytics platform we are taking to market. This role sits at the intersection of client data environments and our internal product development efforts—requiring both business insight and technical acumen.
Your primary focus will be to gather, clarify, and deeply understand business and reporting requirements—often expressed in SQL, Excel, or ad hoc analysis. You will work closely with business stakeholders, analysts, and the data architecture team to translate these requirements into clear, actionable technical specifications.
Working as part of a collaborative team, you’ll help ensure these specifications are accurately and efficiently implemented—typically in PySpark/SparkSql based data pipelines—by supporting the development process, providing subject-matter expertise, and validating that delivered data outputs match the original requirements. Your work will be critical in ensuring that our analytics solutions are robust, repeatable, and deliver trusted results to the business
This role requires a strong analytical mindset, excellent communication skills, and hands-on experience with data transformation and integration processes.
What you’ll do
- Customer Engagement & Requirements Gathering
- Engage directly with customers to understand their business needs and data environments.
- Elicit, document, and validate functional and non-functional requirements.
- Conduct workshops and interviews with client stakeholders to capture use cases and success criteria.
- Data Analysis & Integration Design
- Analyze complex customer data sets, schemas, and data flows to assess integration needs.
- Collaborate with data engineers and developers to design effective data ingestion, transformation, and mapping processes.
- Validate data quality, completeness, and alignment with business requirements.
- Technical Collaboration & Delivery
- Support the development of scalable data integration and transformation pipelines by assisting with coding, testing, and implementing solutions—primarily using PySpark, SparkSQL, and Python.
- Translate business and analytical requirements into clear, actionable technical specifications to guide the engineering team’s implementation.
- Contribute hands-on to codebases: write and review code, implement validation checks, and assist with the development of complex transformation logic as needed.
- Help automate and maintain data validation and quality checks to ensure reliability and accuracy of analytics outputs.
- Collaborate closely with the FPA team to understand financial reporting needs, ensure alignment of technical solutions with finance objectives, and validate outputs support business decision-making.
- Work with modern data formats and platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks, etc.) to enable efficient data handling and integration.
- Participate in solution architecture and technical discussions, collaborating on user story creation and acceptance criteria to ensure technical solutions align with business needs.
- Product & Analytics Alignment
- Work closely with our product team to ensure that customer data is accurately reflected in analytics outputs.
- Provide feedback on product improvements based on client needs and data insights.
- Monitor and evaluate the effectiveness of integrated data in supporting customer decision-making.
To fly in your role, you’ll need
- 5+ years’ experience in data analytics, data engineering, or related technical roles, with significant hands-on coding in Python, PySpark, and SQL.Proven experience working on data integration projects (ETL, data pipelines, APIs).
- Proven ability to build and support data integration pipelines (ETL, dataflows, APIs) at scale.Ability to translate complex technical concepts into business language and vice versa.
- Strong experience with relational databases and data modelling; experience with modern analytics platforms (Databricks, Delta Lake, cloud storage) is a plus.Experience in Agile/Scrum environments.
- Track record of translating business logic and requirements into production-grade, testable code.Experience working with data analytics tools and platforms (e.g., Power BI, SuperSet, Tableau, Looker, Grafana).
- Solid grasp of data quality, data validation, and monitoring concepts.
- Strong communication skills—able to present technical logic and results to both technical and non-technical audiences.
- Experience in Agile/Scrum environments and working collaboratively with both business and engineering teams.
Nice to have
- Experience in the telecoms industry.
- Familiarity with the software development lifecycle and Agile methodologies
- Infrastructure as code experience. (terraform and Pulumi)
- Experience working in a scale up/dynamic consulting environment.
- Exposure to accounting concepts.
Benefits
- Working
- Fully remote working / or from the office with daily lunch
- Flexible working hours
- High-spec Dell laptop
- Money towards a keyboard of your choice, that is yours to keep
- Insurance - fully paid on top of, not out of your salary
- Medical Aid, including Gap Cover
- Life Insurance, with Disability Insurance and Funeral cover
- Learning
- Learning Budget - Books or Courses - you choose how to use it
- Culture
- People-first culture that encourages work/life balance
- Everyone has a voice, regardless of title
- Psychological safety
- Leave
- 20 days annual leave
- Paid Maternity, Paternity, Study & Moving, Conference, CSR Volunteering leave
- Long-Term Loyalty Benefits
- 2 years - monthly budget towards a cell phone contract, uber travel vouchers or petrol card
- 3 years – can apply for a study bursary to enhance your current and future role with us
- 5 years - 3 additional days of annual leave
- 7 years – a local weekend away at our cost
- 10 years - 3 month paid sabbatical
Interested?
Send your CV to
Data Analytics Engineer
Posted 16 days ago
Job Viewed
Job Description
Main focus of the role
We are seeking a technically excellent, customer-focused Analytics Engineer to drive data integration and transformation for a telecoms analytics platform we are taking to market. This role sits at the intersection of client data environments and our internal product development efforts—requiring both business insight and technical acumen.
Your primary focus will be to gather, clarify, and deeply understand business and reporting requirements—often expressed in SQL, Excel, or ad hoc analysis. You will work closely with business stakeholders, analysts, and the data architecture team to translate these requirements into clear, actionable technical specifications.
Working as part of a collaborative team, you’ll help ensure these specifications are accurately and efficiently implemented—typically in PySpark/SparkSql based data pipelines—by supporting the development process, providing subject-matter expertise, and validating that delivered data outputs match the original requirements. Your work will be critical in ensuring that our analytics solutions are robust, repeatable, and deliver trusted results to the business
This role requires a strong analytical mindset, excellent communication skills, and hands-on experience with data transformation and integration processes.
What you’ll do
- Customer Engagement & Requirements Gathering
- Engage directly with customers to understand their business needs and data environments.
- Elicit, document, and validate functional and non-functional requirements.
- Conduct workshops and interviews with client stakeholders to capture use cases and success criteria.
- Data Analysis & Integration Design
- Analyze complex customer data sets, schemas, and data flows to assess integration needs.
- Collaborate with data engineers and developers to design effective data ingestion, transformation, and mapping processes.
- Validate data quality, completeness, and alignment with business requirements.
- Technical Collaboration & Delivery
- Support the development of scalable data integration and transformation pipelines by assisting with coding, testing, and implementing solutions—primarily using PySpark, SparkSQL, and Python.
- Translate business and analytical requirements into clear, actionable technical specifications to guide the engineering team’s implementation.
- Contribute hands-on to codebases: write and review code, implement validation checks, and assist with the development of complex transformation logic as needed.
- Help automate and maintain data validation and quality checks to ensure reliability and accuracy of analytics outputs.
- Collaborate closely with the FPA team to understand financial reporting needs, ensure alignment of technical solutions with finance objectives, and validate outputs support business decision-making.
- Work with modern data formats and platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks, etc.) to enable efficient data handling and integration.
- Participate in solution architecture and technical discussions, collaborating on user story creation and acceptance criteria to ensure technical solutions align with business needs.
- Product & Analytics Alignment
- Work closely with our product team to ensure that customer data is accurately reflected in analytics outputs.
- Provide feedback on product improvements based on client needs and data insights.
- Monitor and evaluate the effectiveness of integrated data in supporting customer decision-making.
To fly in your role, you’ll need
- 5+ years’ experience in data analytics, data engineering, or related technical roles, with significant hands-on coding in Python, PySpark, and SQL.Proven experience working on data integration projects (ETL, data pipelines, APIs).
- Proven ability to build and support data integration pipelines (ETL, dataflows, APIs) at scale.Ability to translate complex technical concepts into business language and vice versa.
- Strong experience with relational databases and data modelling; experience with modern analytics platforms (Databricks, Delta Lake, cloud storage) is a plus.Experience in Agile/Scrum environments.
- Track record of translating business logic and requirements into production-grade, testable code.Experience working with data analytics tools and platforms (e.g., Power BI, SuperSet, Tableau, Looker, Grafana).
- Solid grasp of data quality, data validation, and monitoring concepts.
- Strong communication skills—able to present technical logic and results to both technical and non-technical audiences.
- Experience in Agile/Scrum environments and working collaboratively with both business and engineering teams.
Nice to have
- Experience in the telecoms industry.
- Familiarity with the software development lifecycle and Agile methodologies
- Infrastructure as code experience. (terraform and Pulumi)
- Experience working in a scale up/dynamic consulting environment.
- Exposure to accounting concepts.
Benefits
- Working
- Fully remote working / or from the office with daily lunch
- Flexible working hours
- High-spec Dell laptop
- Money towards a keyboard of your choice, that is yours to keep
- Insurance - fully paid on top of, not out of your salary
- Medical Aid, including Gap Cover
- Life Insurance, with Disability Insurance and Funeral cover
- Learning
- Learning Budget - Books or Courses - you choose how to use it
- Culture
- People-first culture that encourages work/life balance
- Everyone has a voice, regardless of title
- Psychological safety
- Leave
- 20 days annual leave
- Paid Maternity, Paternity, Study & Moving, Conference, CSR Volunteering leave
- Long-Term Loyalty Benefits
- 2 years - monthly budget towards a cell phone contract, uber travel vouchers or petrol card
- 3 years – can apply for a study bursary to enhance your current and future role with us
- 5 years - 3 additional days of annual leave
- 7 years – a local weekend away at our cost
- 10 years - 3 month paid sabbatical
Interested?
Send your CV to
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Data Analytics Engineer
Posted 16 days ago
Job Viewed
Job Description
Main focus of the role
We are seeking a technically excellent, customer-focused Analytics Engineer to drive data integration and transformation for a telecoms analytics platform we are taking to market. This role sits at the intersection of client data environments and our internal product development efforts—requiring both business insight and technical acumen.
Your primary focus will be to gather, clarify, and deeply understand business and reporting requirements—often expressed in SQL, Excel, or ad hoc analysis. You will work closely with business stakeholders, analysts, and the data architecture team to translate these requirements into clear, actionable technical specifications.
Working as part of a collaborative team, you’ll help ensure these specifications are accurately and efficiently implemented—typically in PySpark/SparkSql based data pipelines—by supporting the development process, providing subject-matter expertise, and validating that delivered data outputs match the original requirements. Your work will be critical in ensuring that our analytics solutions are robust, repeatable, and deliver trusted results to the business
This role requires a strong analytical mindset, excellent communication skills, and hands-on experience with data transformation and integration processes.
What you’ll do
- Customer Engagement & Requirements Gathering
- Engage directly with customers to understand their business needs and data environments.
- Elicit, document, and validate functional and non-functional requirements.
- Conduct workshops and interviews with client stakeholders to capture use cases and success criteria.
- Data Analysis & Integration Design
- Analyze complex customer data sets, schemas, and data flows to assess integration needs.
- Collaborate with data engineers and developers to design effective data ingestion, transformation, and mapping processes.
- Validate data quality, completeness, and alignment with business requirements.
- Technical Collaboration & Delivery
- Support the development of scalable data integration and transformation pipelines by assisting with coding, testing, and implementing solutions—primarily using PySpark, SparkSQL, and Python.
- Translate business and analytical requirements into clear, actionable technical specifications to guide the engineering team’s implementation.
- Contribute hands-on to codebases: write and review code, implement validation checks, and assist with the development of complex transformation logic as needed.
- Help automate and maintain data validation and quality checks to ensure reliability and accuracy of analytics outputs.
- Collaborate closely with the FPA team to understand financial reporting needs, ensure alignment of technical solutions with finance objectives, and validate outputs support business decision-making.
- Work with modern data formats and platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks, etc.) to enable efficient data handling and integration.
- Participate in solution architecture and technical discussions, collaborating on user story creation and acceptance criteria to ensure technical solutions align with business needs.
- Product & Analytics Alignment
- Work closely with our product team to ensure that customer data is accurately reflected in analytics outputs.
- Provide feedback on product improvements based on client needs and data insights.
- Monitor and evaluate the effectiveness of integrated data in supporting customer decision-making.
To fly in your role, you’ll need
- 5+ years’ experience in data analytics, data engineering, or related technical roles, with significant hands-on coding in Python, PySpark, and SQL.Proven experience working on data integration projects (ETL, data pipelines, APIs).
- Proven ability to build and support data integration pipelines (ETL, dataflows, APIs) at scale.Ability to translate complex technical concepts into business language and vice versa.
- Strong experience with relational databases and data modelling; experience with modern analytics platforms (Databricks, Delta Lake, cloud storage) is a plus.Experience in Agile/Scrum environments.
- Track record of translating business logic and requirements into production-grade, testable code.Experience working with data analytics tools and platforms (e.g., Power BI, SuperSet, Tableau, Looker, Grafana).
- Solid grasp of data quality, data validation, and monitoring concepts.
- Strong communication skills—able to present technical logic and results to both technical and non-technical audiences.
- Experience in Agile/Scrum environments and working collaboratively with both business and engineering teams.
Nice to have
- Experience in the telecoms industry.
- Familiarity with the software development lifecycle and Agile methodologies
- Infrastructure as code experience. (terraform and Pulumi)
- Experience working in a scale up/dynamic consulting environment.
- Exposure to accounting concepts.
Benefits
- Working
- Fully remote working / or from the office with daily lunch
- Flexible working hours
- High-spec Dell laptop
- Money towards a keyboard of your choice, that is yours to keep
- Insurance - fully paid on top of, not out of your salary
- Medical Aid, including Gap Cover
- Life Insurance, with Disability Insurance and Funeral cover
- Learning
- Learning Budget - Books or Courses - you choose how to use it
- Culture
- People-first culture that encourages work/life balance
- Everyone has a voice, regardless of title
- Psychological safety
- Leave
- 20 days annual leave
- Paid Maternity, Paternity, Study & Moving, Conference, CSR Volunteering leave
- Long-Term Loyalty Benefits
- 2 years - monthly budget towards a cell phone contract, uber travel vouchers or petrol card
- 3 years – can apply for a study bursary to enhance your current and future role with us
- 5 years - 3 additional days of annual leave
- 7 years – a local weekend away at our cost
- 10 years - 3 month paid sabbatical
Interested?
Send your CV to
Data Analytics Engineer
Posted 16 days ago
Job Viewed
Job Description
Main focus of the role
We are seeking a technically excellent, customer-focused Analytics Engineer to drive data integration and transformation for a telecoms analytics platform we are taking to market. This role sits at the intersection of client data environments and our internal product development efforts—requiring both business insight and technical acumen.
Your primary focus will be to gather, clarify, and deeply understand business and reporting requirements—often expressed in SQL, Excel, or ad hoc analysis. You will work closely with business stakeholders, analysts, and the data architecture team to translate these requirements into clear, actionable technical specifications.
Working as part of a collaborative team, you’ll help ensure these specifications are accurately and efficiently implemented—typically in PySpark/SparkSql based data pipelines—by supporting the development process, providing subject-matter expertise, and validating that delivered data outputs match the original requirements. Your work will be critical in ensuring that our analytics solutions are robust, repeatable, and deliver trusted results to the business
This role requires a strong analytical mindset, excellent communication skills, and hands-on experience with data transformation and integration processes.
What you’ll do
- Customer Engagement & Requirements Gathering
- Engage directly with customers to understand their business needs and data environments.
- Elicit, document, and validate functional and non-functional requirements.
- Conduct workshops and interviews with client stakeholders to capture use cases and success criteria.
- Data Analysis & Integration Design
- Analyze complex customer data sets, schemas, and data flows to assess integration needs.
- Collaborate with data engineers and developers to design effective data ingestion, transformation, and mapping processes.
- Validate data quality, completeness, and alignment with business requirements.
- Technical Collaboration & Delivery
- Support the development of scalable data integration and transformation pipelines by assisting with coding, testing, and implementing solutions—primarily using PySpark, SparkSQL, and Python.
- Translate business and analytical requirements into clear, actionable technical specifications to guide the engineering team’s implementation.
- Contribute hands-on to codebases: write and review code, implement validation checks, and assist with the development of complex transformation logic as needed.
- Help automate and maintain data validation and quality checks to ensure reliability and accuracy of analytics outputs.
- Collaborate closely with the FPA team to understand financial reporting needs, ensure alignment of technical solutions with finance objectives, and validate outputs support business decision-making.
- Work with modern data formats and platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks, etc.) to enable efficient data handling and integration.
- Participate in solution architecture and technical discussions, collaborating on user story creation and acceptance criteria to ensure technical solutions align with business needs.
- Product & Analytics Alignment
- Work closely with our product team to ensure that customer data is accurately reflected in analytics outputs.
- Provide feedback on product improvements based on client needs and data insights.
- Monitor and evaluate the effectiveness of integrated data in supporting customer decision-making.
To fly in your role, you’ll need
- 5+ years’ experience in data analytics, data engineering, or related technical roles, with significant hands-on coding in Python, PySpark, and SQL.Proven experience working on data integration projects (ETL, data pipelines, APIs).
- Proven ability to build and support data integration pipelines (ETL, dataflows, APIs) at scale.Ability to translate complex technical concepts into business language and vice versa.
- Strong experience with relational databases and data modelling; experience with modern analytics platforms (Databricks, Delta Lake, cloud storage) is a plus.Experience in Agile/Scrum environments.
- Track record of translating business logic and requirements into production-grade, testable code.Experience working with data analytics tools and platforms (e.g., Power BI, SuperSet, Tableau, Looker, Grafana).
- Solid grasp of data quality, data validation, and monitoring concepts.
- Strong communication skills—able to present technical logic and results to both technical and non-technical audiences.
- Experience in Agile/Scrum environments and working collaboratively with both business and engineering teams.
Nice to have
- Experience in the telecoms industry.
- Familiarity with the software development lifecycle and Agile methodologies
- Infrastructure as code experience. (terraform and Pulumi)
- Experience working in a scale up/dynamic consulting environment.
- Exposure to accounting concepts.
Benefits
- Working
- Fully remote working / or from the office with daily lunch
- Flexible working hours
- High-spec Dell laptop
- Money towards a keyboard of your choice, that is yours to keep
- Insurance - fully paid on top of, not out of your salary
- Medical Aid, including Gap Cover
- Life Insurance, with Disability Insurance and Funeral cover
- Learning
- Learning Budget - Books or Courses - you choose how to use it
- Culture
- People-first culture that encourages work/life balance
- Everyone has a voice, regardless of title
- Psychological safety
- Leave
- 20 days annual leave
- Paid Maternity, Paternity, Study & Moving, Conference, CSR Volunteering leave
- Long-Term Loyalty Benefits
- 2 years - monthly budget towards a cell phone contract, uber travel vouchers or petrol card
- 3 years – can apply for a study bursary to enhance your current and future role with us
- 5 years - 3 additional days of annual leave
- 7 years – a local weekend away at our cost
- 10 years - 3 month paid sabbatical
Interested?
Send your CV to
Data Analytics Engineer
Posted 16 days ago
Job Viewed
Job Description
Main focus of the role
We are seeking a technically excellent, customer-focused Analytics Engineer to drive data integration and transformation for a telecoms analytics platform we are taking to market. This role sits at the intersection of client data environments and our internal product development efforts—requiring both business insight and technical acumen.
Your primary focus will be to gather, clarify, and deeply understand business and reporting requirements—often expressed in SQL, Excel, or ad hoc analysis. You will work closely with business stakeholders, analysts, and the data architecture team to translate these requirements into clear, actionable technical specifications.
Working as part of a collaborative team, you’ll help ensure these specifications are accurately and efficiently implemented—typically in PySpark/SparkSql based data pipelines—by supporting the development process, providing subject-matter expertise, and validating that delivered data outputs match the original requirements. Your work will be critical in ensuring that our analytics solutions are robust, repeatable, and deliver trusted results to the business
This role requires a strong analytical mindset, excellent communication skills, and hands-on experience with data transformation and integration processes.
What you’ll do
- Customer Engagement & Requirements Gathering
- Engage directly with customers to understand their business needs and data environments.
- Elicit, document, and validate functional and non-functional requirements.
- Conduct workshops and interviews with client stakeholders to capture use cases and success criteria.
- Data Analysis & Integration Design
- Analyze complex customer data sets, schemas, and data flows to assess integration needs.
- Collaborate with data engineers and developers to design effective data ingestion, transformation, and mapping processes.
- Validate data quality, completeness, and alignment with business requirements.
- Technical Collaboration & Delivery
- Support the development of scalable data integration and transformation pipelines by assisting with coding, testing, and implementing solutions—primarily using PySpark, SparkSQL, and Python.
- Translate business and analytical requirements into clear, actionable technical specifications to guide the engineering team’s implementation.
- Contribute hands-on to codebases: write and review code, implement validation checks, and assist with the development of complex transformation logic as needed.
- Help automate and maintain data validation and quality checks to ensure reliability and accuracy of analytics outputs.
- Collaborate closely with the FPA team to understand financial reporting needs, ensure alignment of technical solutions with finance objectives, and validate outputs support business decision-making.
- Work with modern data formats and platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks, etc.) to enable efficient data handling and integration.
- Participate in solution architecture and technical discussions, collaborating on user story creation and acceptance criteria to ensure technical solutions align with business needs.
- Product & Analytics Alignment
- Work closely with our product team to ensure that customer data is accurately reflected in analytics outputs.
- Provide feedback on product improvements based on client needs and data insights.
- Monitor and evaluate the effectiveness of integrated data in supporting customer decision-making.
To fly in your role, you’ll need
- 5+ years’ experience in data analytics, data engineering, or related technical roles, with significant hands-on coding in Python, PySpark, and SQL.Proven experience working on data integration projects (ETL, data pipelines, APIs).
- Proven ability to build and support data integration pipelines (ETL, dataflows, APIs) at scale.Ability to translate complex technical concepts into business language and vice versa.
- Strong experience with relational databases and data modelling; experience with modern analytics platforms (Databricks, Delta Lake, cloud storage) is a plus.Experience in Agile/Scrum environments.
- Track record of translating business logic and requirements into production-grade, testable code.Experience working with data analytics tools and platforms (e.g., Power BI, SuperSet, Tableau, Looker, Grafana).
- Solid grasp of data quality, data validation, and monitoring concepts.
- Strong communication skills—able to present technical logic and results to both technical and non-technical audiences.
- Experience in Agile/Scrum environments and working collaboratively with both business and engineering teams.
Nice to have
- Experience in the telecoms industry.
- Familiarity with the software development lifecycle and Agile methodologies
- Infrastructure as code experience. (terraform and Pulumi)
- Experience working in a scale up/dynamic consulting environment.
- Exposure to accounting concepts.
Benefits
- Working
- Fully remote working / or from the office with daily lunch
- Flexible working hours
- High-spec Dell laptop
- Money towards a keyboard of your choice, that is yours to keep
- Insurance - fully paid on top of, not out of your salary
- Medical Aid, including Gap Cover
- Life Insurance, with Disability Insurance and Funeral cover
- Learning
- Learning Budget - Books or Courses - you choose how to use it
- Culture
- People-first culture that encourages work/life balance
- Everyone has a voice, regardless of title
- Psychological safety
- Leave
- 20 days annual leave
- Paid Maternity, Paternity, Study & Moving, Conference, CSR Volunteering leave
- Long-Term Loyalty Benefits
- 2 years - monthly budget towards a cell phone contract, uber travel vouchers or petrol card
- 3 years – can apply for a study bursary to enhance your current and future role with us
- 5 years - 3 additional days of annual leave
- 7 years – a local weekend away at our cost
- 10 years - 3 month paid sabbatical
Interested?
Send your CV to