2,358 Data Analytics jobs in South Africa

Overview:

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

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

Get AI-powered advice on this job and more exclusive features.

Lead Data Science & Analytics – Drive Innovation!

Are you a data-driven leader ready to shape the future of analytics? We’re looking for a Data Science & Analytics Manager to lead a high-performing team and drive data-powered decision-making in a cutting-edge environment.

What You’ll Do:

• Build and lead a team of Data Scientists & Analysts.
• Develop and execute a strategic data science vision.
• Work with stakeholders to drive innovation through data.
• Implement machine learning & predictive analytics models.
• Ensure scalable, high-impact data solutions.

What You’ll Need:

• Degree/Masters/PhD in a quantitative field (Actuarial Science, Statistics, Computer Science, etc.).
• 10+ years of hands-on data science experience .
• Expertise in Python, SQL, Power BI, Azure, and ML frameworks .
• Strong background in big data, cloud infrastructure, and predictive modeling .
• Proven ability to bring data science solutions into production .

Why Join Us?

• Lead a data-driven transformation.
• Work with cutting-edge technologies.
• Collaborate with top industry experts.
• Competitive salary & growth opportunities.

Mid-Senior level

Full-time

Business Development and Other

Data Infrastructure and Analytics

THE OPPORTUNITY

We are looking for a Data Analytics Specialist who will work across Common Good’s EEE strategy providing sound reports and feedback that will enhance Common Good’s internal and external partnerships. The Data Analytics Specialist will primarily focus on the Education programme, while supporting the Early Life and Employment programmes when needed. The role is to collect, hold, manipulate, interpret, and make visible various pieces of data from across the organisation and within our external stakeholders, such that a data-driven culture is created and fostered. The Data Analytics Specialist will work with various internal and external stakeholders. Some of the external stakeholders include the projects donors, academic platform service providers and management teams of schools and partner stakeholders. The Data Analytics Specialist will be based at our offices in Observatory.

Have the relevant experience and the desire to serve with an organisation that loves our city and are passionate about social justice. You are driven to collaborate and partner respectfully with other key change agents and influencers in supporting the team drive school level change through data management. You are highly proactive with strong self-leadership, and a pioneering and resilient spirit. You are passionate about data analysis systems and you are a tech guru!

The successful individual will be responsible for the following duties, which are not limited to :

• The collection, organisation, and presentation of data, ensuring that the data is captured correctly and that there are no gaps in the documents of the data collected.
• Interpretation and analysis of data.
• Identifying patterns and tend in data sets.
• Submit and report back to the relevant internal and external stakeholders.
• Form part of the internal team that visit partner schools and partner organisations to provide technical support to these schools and partner organisations.
• Coach and train internal and external stakeholders on technical aspects of data dashboards and how to interpret relevant data.
• Provide data for donor reports, pulling from various data sources and liaising with various stakeholders to gather the necessary information.
• Work methodically to clean and structure datasets such that they are ready to feed into dynamic dashboards for analysis.
• Build and maintain various interactive dashboards on Power BI that allow for data to be accessible and visually intuitive.
• Use various other technical platforms including school systems, Google sheets, MS Excel, Google Forms, MS Forms, and MS Access.
• Ensure data privacy and that data is stored securely in line with the POPI Act and Common Good’s Privacy Policy.
• Work with the Management Teams to ensure that impact is measured across the programmes.

• A completed NQF Level 7
• A Statistical, Mathematical or IT related degree is preferable.
• Minimum of at least 3 years data analytic related working experience
• Experience in Power BI essential
• High level of computer proficiency including Ms Excel, Access, Word, and PowerPoint
• Be willing to contribute to the values and ethos of Common Good is essential.
• Your own transport is essential, as you may be required to travel between locations.
• Fluent in English

• Excellent interpersonal skills, with the ability to develop positive working relationships with individuals and across teams.
• Ability to prioritise and follow through effectively.
• Results oriented, able to complete tasks efficiently in a fast-paced environment.
• Flexible and adaptable approach to work
• Passion for Social Justice in our city

• Advanced analytical and problem-solving skills
• Database creation and management experience, working with data structures and manipulation.
• Ability to analyse routine data and provide programme feedback.
• Masterful written and oral communication skills including proven success in presenting ideas and concepts effectively and persuasively.

To apply, please send a motivational cover letter, your CV and two recent work references, along with the “consent by job applicant” form by the 8th of March.

Reference: CPT -KJ-1

A leadership team that values autonomy
R70 000 - R85 000

Our client, a top National Software house focused on the continuous design and development of new prototypes and products, is looking for a Senior Data Analytics Engineer/ Specialist to join their team.

• Undergraduate degree/diploma in Mathematics, Statistics, Engineering, Physics, Finance, or Economics (or similar).
• Knowledge and execution capabilities of common data structures, languages, and tools (e.g. SQL (must), Python or R (must)).
• Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP or Azure preferred).
• Understanding and interpretation of statistics and data with a foundational knowledge of regression analysis.
• An understanding (must) of Machine Learning techniques (supervised and unsupervised learning). Practical experience preferred.
• Experience working in a high-paced environment, where prioritisation is essential.
• Experience working and interacting with a variety of stakeholders including development technical, data engineers, sales, and customer experience teams.
• History delivering small to large scale analytics, data science, and business intelligence projects which require extensive collaboration across multiple teams.
• Minimum two years’ experience required. Experience in the Health Tech sector is advantageous.
• A proven track record of data mining and data pre-processing to ensure quality work delivery.
• Practical experience in BI reporting and data platforms including PowerBI (preferred), Data Studio, and intermediate Microsoft Excel (must).

• Strong data exploration, analytical, modelling, and reporting skills.
• Strong communication and people-engagement skills.
• Ability and desire to uncover the deep business questions and needs of clients.
• Keen attention to detail and desire to produce high-quality, value-adding analytics and MLOps solutions.
• Ability to take end-to-end ownership of initiatives, ensuring that adding business value is always the guiding light.
• An enterprising nature where one can identify problems or opportunities and take responsibility for the solution and implementation thereof.
• A strong demonstrated desire to learn, upskill and self-improve.
• Strong desire to learn new BI and data science techniques, tools, and methods.

R 70 000 - R 85 000 - Monthly

Overview

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 Senior Data Analytics Engineer in Cape Town, South Africa to be part of our global team working together towards our vision –Improving our future.

As our Data Analytics Engineer, you will be responsiblefor driving the business to make data-driven decisions and improving self-service Business Intelligencewithin Scatec.

The role will require to engage with teams across all departments such as Finance, Project Development, Asset Management, HR, Solutions and Operations & Maintenance (O&M) to understand business processes and value drivers to specify requirements. The role will provide exposure to different levels of the data landscape, having full ownership of the end-to-end flow of data, being responsible for data architecture, governance and systems and communicating best practices within the organisation.

Main responsibilities

• Develop, own and maintain a central data architecture and platform/service for relevant data across the organisation
• Deliver valuable and high-quality data products to the business units
• Expand and centralise our common business data and data models
• Ensure best practice infrastructure and database optimisation for improved delivery lead-time
• Design and execute processes for ensuring data governance
• Build and maintain common datasets for self-service reports across the organization
• Maintain global standard reports and data sets
• Train end users in reporting tools and other relevant analysis tools

Qualifications and competencies

• Computer Science, Statistics, Informatic, Information Systems or quantitative from a Technical University level degree
• 4 - 6 years professional experience in energy sector client-facing
• Excellence in data engineering building data transformation pipelines using SQL and DBT
• Excellence in data modellingconcepts and techniques for data warehousing and governance
• Experience with Databricks, Azure
• Experience with Infrastructure as code, DevOps, DataOps
• Data integration
• Ability to work with with data visualization and reporting tools, such as Tableau, Power BI, and Excel
• Familiarity with Dynamics 365 Finance and Operations is favourable
• Knowledge of ML models and MLOps a bonus
• Language: fluent both written and spoken in English, second language is a plus

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

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

Get AI-powered advice on this job and more exclusive features.

CambriLearn is transforming K-12 education for the digital age. As a leading online school offering internationally recognised curricula, we empower students across the globe through flexible, data informed learning experiences.

To scale our impact and improve how we use data across the business, we're hiring a Data & Analytics Engineer (skilled in full stack data science from data pipelines, modelling, deployment to insights) who will own the integrity, usability, and clarity of the data that drives our decision-making.

What You’ll Do

You’ll play a critical role in solving some of our most pressing data challenges. This role isn’t just about dashboards, it’s about fixing the root of broken data, redefining core metrics, and building the pipelines that power every team from Product to Sales to Finance.

• Design and maintain robust data pipelines (ETL/ELT) across platforms such as Salesforce, Google Ads, Meta Ads, Stripe, and CMS systems
• Perform data normalization, cleansing, transformation to align disparate datasets
• Map and integrate data from CMS, CRM, Google Ads, Meta Ads, and other platforms
• Proactively identify data gaps and quality issues and implement fixes
• Integrate AI tools into internal workflows and identify areas of the product where AI can be included.
• Define and monitor KPI's across departments
• Conduct analysist to support product, marketing, sales and other strategic decisionsInvestigate and resolve data integrity issues across products, users, conversions, and retention.
• Redefine and implement accurate business metrics (e.g. what constitutes a conversion, per subject, per class, per level).
• Build and maintain robust data pipelines (SQL + Python) to transform raw data into structured, reliable datasets.
• Design and deploy interactive Power BI dashboards that help teams make faster, better decisions.
• Collaborate across departments (Product, Sales, Marketing, Finance, Ops) to understand data needs and build scalable solutions.
• Build and document relational data models that reflect the reality of our business and customer journeys.
• Assist in implementing data governance, ownership protocols, and best practices for scalable analytics.
• Drive a company wide shift toward data transparency, consistency, and confidence in reporting.

Our Stack

We don’t expect you to know everything but you should be comfortable with or excited to learn:

• SQL (PostgreSQL, BigQuery, or similar)
• Python for scripting and transformation
• Power BI for reporting and dashboarding (bonus if you know DAX or row-level security)
• Salesforce (CRM data integration and reporting)
• Heroku hosted Ruby on Rails app (you’ll be working with its data outputs)
• AWS for content and infrastructure (S3, databases, etc.)
• Bonus: experience with DBT, Airflow, or orchestration tools for pipeline management

Who You Are

• 3–10 years of experience in Data Engineering, Analytics Engineering, or BI focused data roles
• Proven track record of solving real business problems through data
• Able to work with messy or unreliable datasets and design systems that make them trustworthy
• Collaborative and curious: you love working with different teams and asking why?
• Comfortable translating non-technical requests into scalable, accurate data products
• Obsessed with clean, maintainable, scalable systems and not one-off solutions

Preferred Educational Background

We’re specifically looking for candidates with a Bachelor’s or Honours degree in:

• Information Engineering

These degrees offer the perfect balance of technical depth, systems design, and business process understanding which is exactly what this role requires.

Why Join CambriLearn

• Make a meaningful impact on the future of education
• Join a smart, mission driven team that values autonomy, speed, and excellence
• Work from anywhere in SA (remote first)
• Help build the data foundation for a company with massive growth potential

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries E-Learning Providers

Referrals increase your chances of interviewing at CambriLearn Online School by 2x

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CambriLearn is transforming K-12 education for the digital age. As a leading online school offering internationally recognised curricula, we empower students across the globe through flexible, data informed learning experiences.

To scale our impact and improve how we use data across the business, we're hiring a Data & Analytics Engineer (skilled in full stack data science from data pipelines, modelling, deployment to insights) who will own the integrity, usability, and clarity of the data that drives our decision-making.

What You’ll Do

You’ll play a critical role in solving some of our most pressing data challenges. This role isn’t just about dashboards, it’s about fixing the root of broken data, redefining core metrics, and building the pipelines that power every team from Product to Sales to Finance.

• Design and maintain robust data pipelines (ETL/ELT) across platforms such as Salesforce, Google Ads, Meta Ads, Stripe, and CMS systems
• Perform data normalization, cleansing, transformation to align disparate datasets
• Map and integrate data from CMS, CRM, Google Ads, Meta Ads, and other platforms
• Proactively identify data gaps and quality issues and implement fixes
• Integrate AI tools into internal workflows and identify areas of the product where AI can be included.
• Define and monitor KPI's across departments
• Conduct analysist to support product, marketing, sales and other strategic decisionsInvestigate and resolve data integrity issues across products, users, conversions, and retention.
• Redefine and implement accurate business metrics (e.g. what constitutes a conversion, per subject, per class, per level).
• Build and maintain robust data pipelines (SQL + Python) to transform raw data into structured, reliable datasets.
• Design and deploy interactive Power BI dashboards that help teams make faster, better decisions.
• Collaborate across departments (Product, Sales, Marketing, Finance, Ops) to understand data needs and build scalable solutions.
• Build and document relational data models that reflect the reality of our business and customer journeys.
• Assist in implementing data governance, ownership protocols, and best practices for scalable analytics.
• Drive a company wide shift toward data transparency, consistency, and confidence in reporting.

Our Stack

We don’t expect you to know everything but you should be comfortable with or excited to learn:

• SQL (PostgreSQL, BigQuery, or similar)
• Python for scripting and transformation
• Power BI for reporting and dashboarding (bonus if you know DAX or row-level security)
• Salesforce (CRM data integration and reporting)
• Heroku hosted Ruby on Rails app (you’ll be working with its data outputs)
• AWS for content and infrastructure (S3, databases, etc.)
• Bonus: experience with DBT, Airflow, or orchestration tools for pipeline management

Who You Are

• 3–10 years of experience in Data Engineering, Analytics Engineering, or BI focused data roles
• Proven track record of solving real business problems through data
• Able to work with messy or unreliable datasets and design systems that make them trustworthy
• Collaborative and curious: you love working with different teams and asking why?
• Comfortable translating non-technical requests into scalable, accurate data products
• Obsessed with clean, maintainable, scalable systems and not one-off solutions

Preferred Educational Background

We’re specifically looking for candidates with a Bachelor’s or Honours degree in:

• Information Engineering

These degrees offer the perfect balance of technical depth, systems design, and business process understanding which is exactly what this role requires.

Why Join CambriLearn

• Make a meaningful impact on the future of education
• Join a smart, mission driven team that values autonomy, speed, and excellence
• Work from anywhere in SA (remote first)
• Help build the data foundation for a company with massive growth potential

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries E-Learning Providers

Referrals increase your chances of interviewing at CambriLearn Online School by 2x

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Get AI-powered advice on this job and more exclusive features.

CambriLearn is transforming K-12 education for the digital age. As a leading online school offering internationally recognised curricula, we empower students across the globe through flexible, data informed learning experiences.

To scale our impact and improve how we use data across the business, we're hiring a Data & Analytics Engineer (skilled in full stack data science from data pipelines, modelling, deployment to insights) who will own the integrity, usability, and clarity of the data that drives our decision-making.

What You’ll Do

You’ll play a critical role in solving some of our most pressing data challenges. This role isn’t just about dashboards, it’s about fixing the root of broken data, redefining core metrics, and building the pipelines that power every team from Product to Sales to Finance.

• Design and maintain robust data pipelines (ETL/ELT) across platforms such as Salesforce, Google Ads, Meta Ads, Stripe, and CMS systems
• Perform data normalization, cleansing, transformation to align disparate datasets
• Map and integrate data from CMS, CRM, Google Ads, Meta Ads, and other platforms
• Proactively identify data gaps and quality issues and implement fixes
• Integrate AI tools into internal workflows and identify areas of the product where AI can be included.
• Define and monitor KPI's across departments
• Conduct analysist to support product, marketing, sales and other strategic decisionsInvestigate and resolve data integrity issues across products, users, conversions, and retention.
• Redefine and implement accurate business metrics (e.g. what constitutes a conversion, per subject, per class, per level).
• Build and maintain robust data pipelines (SQL + Python) to transform raw data into structured, reliable datasets.
• Design and deploy interactive Power BI dashboards that help teams make faster, better decisions.
• Collaborate across departments (Product, Sales, Marketing, Finance, Ops) to understand data needs and build scalable solutions.
• Build and document relational data models that reflect the reality of our business and customer journeys.
• Assist in implementing data governance, ownership protocols, and best practices for scalable analytics.
• Drive a company wide shift toward data transparency, consistency, and confidence in reporting.

Our Stack

We don’t expect you to know everything but you should be comfortable with or excited to learn:

• SQL (PostgreSQL, BigQuery, or similar)
• Python for scripting and transformation
• Power BI for reporting and dashboarding (bonus if you know DAX or row-level security)
• Salesforce (CRM data integration and reporting)
• Heroku hosted Ruby on Rails app (you’ll be working with its data outputs)
• AWS for content and infrastructure (S3, databases, etc.)
• Bonus: experience with DBT, Airflow, or orchestration tools for pipeline management

Who You Are

• 3–10 years of experience in Data Engineering, Analytics Engineering, or BI focused data roles
• Proven track record of solving real business problems through data
• Able to work with messy or unreliable datasets and design systems that make them trustworthy
• Collaborative and curious: you love working with different teams and asking why?
• Comfortable translating non-technical requests into scalable, accurate data products
• Obsessed with clean, maintainable, scalable systems and not one-off solutions

Preferred Educational Background

We’re specifically looking for candidates with a Bachelor’s or Honours degree in:

• Information Engineering

These degrees offer the perfect balance of technical depth, systems design, and business process understanding which is exactly what this role requires.

Why Join CambriLearn

• Make a meaningful impact on the future of education
• Join a smart, mission driven team that values autonomy, speed, and excellence
• Work from anywhere in SA (remote first)
• Help build the data foundation for a company with massive growth potential

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries E-Learning Providers

Referrals increase your chances of interviewing at CambriLearn Online School by 2x

Get notified about new Data Engineer jobs in South Africa .

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