2,029 Senior Data jobs in South Africa

Business Segment: Personal & Private Banking Location: ZA, GP, Johannesburg, Baker Street 30 To design, code, verify, test, document, amend, and secure data pipelines and data stores according to agreed architecture, solution designs, standards, policies, and governance requirements. To monitor and report on own progress and proactively identify issues related to data engineering activities. To collaborate in reviews of work with others where appropriate. Qualifications Completed Matric Experience 5-7 years' experience understanding of data pipelining and performance optimization, data principles, how data fits in an organization, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory. 5-7 years' experience in building databases, warehouses, reporting and data integration solutions. Building and optimizing big data data-pipelines, architectures and data sets. Experience in creating and integrating APIs. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 5-7 years' experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools. Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any form of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or #J-18808-Ljbffr

Business Segment: Insurance & Asset Management

Location: ZA, GP, Roodepoort, Ellis Street 4

To develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps.

Qualifications

Minimum Qualifications

1. Type of Qualification: First Degree
2. Field of Study: Business Commerce
3. Type of Qualification: First Degree
4. Field of Study: Information Studies
5. Type of Qualification: First Degree
6. Field of Study: Information Technology

Experience Required

1. Software Engineering
   5-7 years: Experience in building databases, warehouses, reporting and data integration solutions. Experience building and optimising big data data-pipelines, architectures and data sets. Experience in creating and integrating APIs. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
2. 8-10 years: Deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory.
3. 8-10 years: Experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools.

Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any form of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or

#J-18808-Ljbffr

Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax and related services. Our global network of member firms and related entities in more than 150 countries and territories (collectively, the “Deloitte organisation”) serves four out of five Fortune Global 500 companies. Learn how Deloitte’s approximately 457,000 people make an impact that matters at .

Innovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients’ most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help lead in the markets where our clients compete.

Are you a game changer? Do you believe in adding advantage at every level in everything you do? You may be one of us.

Deloitte Consulting is growing, with a focus on developing our already powerful teams across our portfolio of offerings. We are looking for smart, accountable, innovative professionals with technical expertise and deep industry experience insights. The combination of our 6 areas of expertise, our well-developed industry structure and our integrated signature solutions is a unique offering never seen before on the African continent.

Be at the forefront of the revolution.

AI-enabled technologies are shaking business foundations. Some find this daunting. We see opportunity—for clients, societies, and people.

Deloitte’s AI & Data Specialists partner with clients to leverage AI and reach new levels of organisational excellence. We turn data into insights, into action—at an industrial scale.

Join us as we enable clients to grasp the future and reach new heights. Learn from the best in the field to create solutions blending data science, data engineering, and process engineering with our industry-leading expertise.

Ready to shape the future?

Join us to reimagine what's possible with data. At Deloitte, your engineering leadership will drive outcomes that matter — not just pipelines, but real-world transformation.

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. Weseek to create and leverage our diverse workforce to build an inclusive environment across the African continent.

Join us. Shape the future. Win big

Job Description

As a Data Engineering Manager , you will lead the design, build, and scale of enterprise-grade data infrastructure and pipelines to power advanced analytics, AI solutions, and AI transformations across Tier-1 clients on the African continent. You will work at the intersection of business strategy and technical delivery , guiding multidisciplinary teams to enable data-driven decision-making and measurable business impact.

You will be responsible for:

• Architecting scalable, secure, and high-performance data platforms
• Leading the design and development of robust ingestion, transformation, and governance pipelines
• Managing project timelines and deliverables across diverse industry engagements
• Coaching data engineers and analysts to deliver client-ready solutions
• Collaborating with AI/ML specialists, solution managers, and client stakeholders to translate strategic needs into modern data capabilities

Key Responsibilities

• Lead and own data engineering workstreams across AI transformation, analytics modernisation, and digital core rebuilds
• Design and implement data pipelines using modern architectures (e.g., Delta Lake, Data Mesh, Data Lakehouse)
• Drive data modelling, data quality, and metadata management best practices aligned to business KPIs
• Build, manage, and scale cloud-native data infrastructure (e.g., on AWS, GCP, Azure)
• Mentor junior engineers, oversee code reviews, and ensure delivery quality to tier-1 consulting standards
• Translate business and industry requirements into scalable data engineering solutions
• Partner with AI, strategy, and business consulting teams to deliver end-to-end data value realisation

Qualifications

• Bachelor’s Degree in Data Science, Engineering or related Degree
• Post Grad Degree in Data Science Engineering or related Degree,
• Data related Cloud Certifications

Additional Information

• 8–12+ years of experience in data engineering, with at least 2 years in a team leadership or technical management role
• Proficient in building modern ETL/ELT pipelines using tools like Apache Spark, DBT, Kafka, Airflow
• Strong programming skills in Python and SQL (Scala/Java a plus)
• Deep experience with cloud data ecosystems (e.g., AWS Redshift/Glue, GCP BigQuery/Dataflow, Azure Synapse)
• Strong understanding of data warehousing, data lakes, streaming, and batch architecture
• Experience with CI/CD for data , testing frameworks, and infrastructure-as-code (Terraform, etc.)
• Familiarity with data governance and security frameworks in regulated industries (e.g., FSI, healthcare)
• Previous experience in a top-tier consulting environment or client-facing data role
• Exposure to AI/ML deployment pipelines , MLOps, or analytics productisation
• Experience in delivering data modernisation programs at enterprise scale
• Cross-industry knowledge with a focus on FSI, Telco, Consumer, or Healthcare

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. Weseek 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.

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We're looking for a strategic leader who can bridge business needs with scalable data solutions. This is a hybrid role-part technical expert, part client advisor, and part team builder Key Responsibilities: Define and lead the Data Engineering vision and roadmap Guide architecture across Qlik, Talend, and Microsoft tech stacks Support pre-sales and solution design with clients Mentor and grow a high-performing, cross-functional team Drive innovation, delivery excellence, and internal enablement Key Requirements: 8 years in data engineering, 3 in leadership Deep expertise in Qlik, Talend, and Microsoft Azure platforms Strong pre-sales, solutioning, and stakeholder engagement skills Strategic thinker with hands-on delivery experience

Management Level ManagerJob Description & Summary At Pw C, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.In data engineering at Pw C, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific Pw C tax and audit guidance), the Firm's code of conduct, and independence requirements. Position Overview: The Technical Lead is responsible for the development and delivery of Cloud technical data solutions that support enterprise data management and data usage requirements. The Lead ensures that all technical data services and solutions are designed and implemented according to best practices and support firm regulatory , business enablement requirements. The Cloud data solutions should enable robust use of Artificial Intelligence and Machine Learning. The Technical Lead coordinates delivery of technical solutions across Data Engineering and Data Infrastructure services and engages with stakeholders to ensure that deliverables meet the business strategy and requirements within the agreed timelines. Culture Vision Statement: Our Africa Tech and Digital team is a dynamic community of self-starters and innovators who embrace change and the constant evolution of technology. We are committed to fostering an environment where curiosity thrives and creativity is celebrated. By leveraging AI-assisted tools and respecting diverse perspectives, we drive collaborative success while enhancing our collective knowledge and skills. We believe in the power of technology to transform and improve our processes, always seeking to challenge the status quo. Together, we work with urgency and empathy, united in our mission to create impactful solutions that benefit our firm and our clients. Key Responsibilities: 1. Technical Data Strategy : Implement technology that aligns with the business strategy and fulfills business and network requirements for data services. Engagement and collaboration with internal and Lo S technical teams to ensure alignment, awareness and adoption of technical data solutions and services in support of business requirements. Forecast technology tr ends be able to proactively Identify technolog y pivots and roadmap. Evaluate new approaches , technologies, and services to ensure that Data solutions and services meet changing business demand and enable innovative solutions that can be implemented with agility , urgency and agency. 2. Data Modelling : Implement data solutions that are in line with data modelling best practices. Provide technical data services that meet the ongoing requirements of the business in a cost effective and efficient manner. Implement data solutions and services promote ethical and responsible use of data within the firm. Engage with local and global SMEs and teams to ensure that the technical data solutions and services adhere to standards, assist the firm in meeting regulatory requirements and align to the network roadmap. 3. Technical Standards : D evelop technical standards for each pillar of the Software Development Lfe0cycle (SDLC) in collaboration with other SMEs across Africa Tech. Collaborate with, and assist, internal and Lo S teams with understanding and implementing technical standards requirements of the firm and advise on best practices. 4. Solutions Design Collaborate in product design sessions to provide input on technical data requirements and approaches that support the data requirements of the desired business product outcomes. Assist with defining technical delivery plans that will meet the requirements for data-driven solutions. Evaluate the delivery of data solutions to ensure that they support strategic deliver , meet business requirements and adhere to technical standards. 5. Operational Management Act as a mentor to technical staff within the team. Assist with the development of technical training curriculums. Provide technical support and input into data communities of interest and practice. Assist with internal and Lo S data training programmes. 7. Continuous Improvement: Identify opportunities to enhance data quality processes, tools, and techniques, leveraging innovative approaches to improve overall data governance and quality strategies. Contribute to ongoing assessments of the effectiveness of data quality practices, proposing adjustments based on industry trends and organizational needs. Drive the optimisation and automation of redundant and obsolete processes Master and champion, the use of AI tools in the delivery of Data Governance and Quality processes. Qualifications and Skills : Education: Any Bachelor D egree in Computer Science or equivalent relevant work experience. Certifications in Microsoft Databricks. Experience: Minimum of 8 - 10 years of experience in cloud data engineering or related roles within a complex organizational environment. Technical Skills: Experience in designing and managing data warehouses. Experience in ensuring data security and compliance with regulations, including encryption and privacy laws. Data quality analysis skills. Strong analytical and problem-solving abilities to interpret complex data and translate business requirements into technical specifications. Proficiency in data mining, predictive modelling, and working with large datasets to uncover insights. Designing and implementing enterprise data management frameworks. Knowledge of data governance and data quality principles. Large-scale technical data project implementation experience. Ability to formulate and drive a technical data strategy and budget. Ability to mentor and develop technical data teams. Ability to facilitate broader staff training. Ability to explain technical concepts at all levels. Stakeholder engagement and strong communication skills at all levels. Data modelling and identification and linking of Gloden Sources Metadata Management Technical skills including : Azure cloud data services architecture (Synapse, Purview). Understanding of API development (REST, SOAP, APIM). Dev Ops experience (task management, code deployment, pipeline management). Terraform experience. SQL experience. Python experience. Power BI experience. Alteryx experience. Databricks experience (ideal). MS Fabric experience (ideal). Data modeling experience. Phython Use of AI and ML within Databricks and Synapse Soft Skills: Excellent communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders. Analytical and detail-oriented mindset, with a proactive approach to problem solving and decision making. Conclusion At Pw C, our purpose is to build trust in society and solve important problems. As we navigate an increasingly complex world, we are dedicated to ensuring that the systems on which communities and economies depend can adapt and thrive. Each role within our organization contributes to this mission, reinforcing our commitment to high ethical standards and the importance of trust. Our five core values guide our actions and define who we are. They emphasize building trust through professionalism, ethical behavior, and a commitment to quality in all our interactions, whether with clients, colleagues, or the broader community. We respect privacy and confidentiality, and we strive for transparency in our operations, demonstrating care and integrity in our relationships. As part of our human-led, tech-powered approach, we empower our people through technology and foster an environment were speaking up is encouraged, and diverse perspectives are celebrated. By embodying these principles in our daily work, we can collectively drive impactful outcomes that resonate with our clients and society as a whole. Together, let's embrace our purpose and values to create meaningful change. The Data Governance and Quality Manager plays a critical role in establishing data governance frameworks that will build trust in our data, open revenues for data monetization and upholding the quality and integrity of the organization’s data assets. Your expertise in data governance and management practices and commitment to fostering a culture of accountability will significantly enhance the effectiveness of data governance initiatives within Pw C Africa. You need to be passionate about data governance and Pw C’s purpose needs to resonate with you. Travel Requirements Up to 20%Available for Work Visa Sponsorship? NoJob Posting End Date August 22, 2025#J-18808-Ljbffr

Business Segment: Insurance & Asset Management Location: ZA, GP, Roodepoort, Ellis Street 4 To develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps. Qualifications Minimum Qualifications Type of Qualification: First Degree Field of Study: Business Commerce Type of Qualification: First Degree Field of Study: Information Studies Type of Qualification: First Degree Field of Study: Information Technology Experience Required Software Engineering 5-7 years: Experience in building databases, warehouses, reporting and data integration solutions. Experience building and optimising big data data-pipelines, architectures and data sets. Experience in creating and integrating APIs. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 8-10 years: Deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory. 8-10 years: Experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools. Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any form of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or #J-18808-Ljbffr

Management Level ManagerJob Description & Summary At Pw C, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.In data engineering at Pw C, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific Pw C tax and audit guidance), the Firm's code of conduct, and independence requirements. Position Overview: The Technical Lead is responsible for the development and delivery of Cloud technical data solutions that support enterprise data management and data usage requirements. The Lead ensures that all technical data services and solutions are designed and implemented according to best practices and support firm regulatory , business enablement requirements. The Cloud data solutions should enable robust use of Artificial Intelligence and Machine Learning. The Technical Lead coordinates delivery of technical solutions across Data Engineering and Data Infrastructure services and engages with stakeholders to ensure that deliverables meet the business strategy and requirements within the agreed timelines. Culture Vision Statement: Our Africa Tech and Digital team is a dynamic community of self-starters and innovators who embrace change and the constant evolution of technology. We are committed to fostering an environment where curiosity thrives and creativity is celebrated. By leveraging AI-assisted tools and respecting diverse perspectives, we drive collaborative success while enhancing our collective knowledge and skills. We believe in the power of technology to transform and improve our processes, always seeking to challenge the status quo. Together, we work with urgency and empathy, united in our mission to create impactful solutions that benefit our firm and our clients. Key Responsibilities: 1. Technical Data Strategy : Implement technology that aligns with the business strategy and fulfills business and network requirements for data services. Engagement and collaboration with internal and Lo S technical teams to ensure alignment, awareness and adoption of technical data solutions and services in support of business requirements. Forecast technology tr ends be able to proactively Identify technolog y pivots and roadmap. Evaluate new approaches , technologies, and services to ensure that Data solutions and services meet changing business demand and enable innovative solutions that can be implemented with agility , urgency and agency. 2. Data Modelling : Implement data solutions that are in line with data modelling best practices. Provide technical data services that meet the ongoing requirements of the business in a cost effective and efficient manner. Implement data solutions and services promote ethical and responsible use of data within the firm. Engage with local and global SMEs and teams to ensure that the technical data solutions and services adhere to standards, assist the firm in meeting regulatory requirements and align to the network roadmap. 3. Technical Standards : D evelop technical standards for each pillar of the Software Development Lfe0cycle (SDLC) in collaboration with other SMEs across Africa Tech. Collaborate with, and assist, internal and Lo S teams with understanding and implementing technical standards requirements of the firm and advise on best practices. 4. Solutions Design Collaborate in product design sessions to provide input on technical data requirements and approaches that support the data requirements of the desired business product outcomes. Assist with defining technical delivery plans that will meet the requirements for data-driven solutions. Evaluate the delivery of data solutions to ensure that they support strategic deliver , meet business requirements and adhere to technical standards. 5. Operational Management Act as a mentor to technical staff within the team. Assist with the development of technical training curriculums. Provide technical support and input into data communities of interest and practice. Assist with internal and Lo S data training programmes. 7. Continuous Improvement: Identify opportunities to enhance data quality processes, tools, and techniques, leveraging innovative approaches to improve overall data governance and quality strategies. Contribute to ongoing assessments of the effectiveness of data quality practices, proposing adjustments based on industry trends and organizational needs. Drive the optimisation and automation of redundant and obsolete processes Master and champion, the use of AI tools in the delivery of Data Governance and Quality processes. Qualifications and Skills : Education: Any Bachelor D egree in Computer Science or equivalent relevant work experience. Certifications in Microsoft Databricks. Experience: Minimum of 8 - 10 years of experience in cloud data engineering or related roles within a complex organizational environment. Technical Skills: Experience in designing and managing data warehouses. Experience in ensuring data security and compliance with regulations, including encryption and privacy laws. Data quality analysis skills. Strong analytical and problem-solving abilities to interpret complex data and translate business requirements into technical specifications. Proficiency in data mining, predictive modelling, and working with large datasets to uncover insights. Designing and implementing enterprise data management frameworks. Knowledge of data governance and data quality principles. Large-scale technical data project implementation experience. Ability to formulate and drive a technical data strategy and budget. Ability to mentor and develop technical data teams. Ability to facilitate broader staff training. Ability to explain technical concepts at all levels. Stakeholder engagement and strong communication skills at all levels. Data modelling and identification and linking of Gloden Sources Metadata Management Technical skills including : Azure cloud data services architecture (Synapse, Purview). Understanding of API development (REST, SOAP, APIM). Dev Ops experience (task management, code deployment, pipeline management). Terraform experience. SQL experience. Python experience. Power BI experience. Alteryx experience. Databricks experience (ideal). MS Fabric experience (ideal). Data modeling experience. Phython Use of AI and ML within Databricks and Synapse Soft Skills: Excellent communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders. Analytical and detail-oriented mindset, with a proactive approach to problem solving and decision making. Conclusion At Pw C, our purpose is to build trust in society and solve important problems. As we navigate an increasingly complex world, we are dedicated to ensuring that the systems on which communities and economies depend can adapt and thrive. Each role within our organization contributes to this mission, reinforcing our commitment to high ethical standards and the importance of trust. Our five core values guide our actions and define who we are. They emphasize building trust through professionalism, ethical behavior, and a commitment to quality in all our interactions, whether with clients, colleagues, or the broader community. We respect privacy and confidentiality, and we strive for transparency in our operations, demonstrating care and integrity in our relationships. As part of our human-led, tech-powered approach, we empower our people through technology and foster an environment were speaking up is encouraged, and diverse perspectives are celebrated. By embodying these principles in our daily work, we can collectively drive impactful outcomes that resonate with our clients and society as a whole. Together, let's embrace our purpose and values to create meaningful change. The Data Governance and Quality Manager plays a critical role in establishing data governance frameworks that will build trust in our data, open revenues for data monetization and upholding the quality and integrity of the organization’s data assets. Your expertise in data governance and management practices and commitment to fostering a culture of accountability will significantly enhance the effectiveness of data governance initiatives within Pw C Africa. You need to be passionate about data governance and Pw C’s purpose needs to resonate with you. Travel Requirements Up to 20%Available for Work Visa Sponsorship? NoJob Posting End Date August 22, 2025#J-18808-Ljbffr

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

The Director, Data Engineering is a leadership role accountable for operationally managing a Data Engineering Team.

The Data Engineering Practice lead will lead the design, development of the enterprise data platform and pipelines.

This role is further responsible for overseeing SAP data migrations, ensuring seamless integration and transformation of legacy systems into modern cloud-based architectures.

The person will drive innovation, scalability, and governance in data engineering practices while managing a high-performing team.

Key Responsibilities:

• Manages a team of Managers and Data Engineers to ensure achievement of team objectives/KPIs and through continuous coaching and mentoring helps the team to understand and apply data to solve business solutions.
• Develop the new Data Platform - Execute the data engineering strategy per the selected platform.
• SAP Data Migration - Lead end-to-endSAP data migrationprojects, including planning, mapping, transformation, and validation.
• Engineering Team Leadership - Build and manage a team of data engineers and technical leads. Foster a culture of innovation, collaboration, and continuous improvement.
• Data Pipeline Development - Oversee development of robust ETL/ELT pipelines usingAzure Data Factory,Databricks,Snowflake Streams/Tasks, andSAP tools. Ensure pipelines are optimized for performance, reliability, and cost-efficiency.
• Data Management - partner with data management practice lead and governance lead to ensure adherence to data quality, lineage, and security standards. Implement monitoring and alerting for data pipeline health and SLA compliance.
• Stakeholder Engagement - Collaborate with business units and the internal analytics teams and IT to align data engineering efforts with strategic goals. Translate business requirements into scalable technical solutions.
• Ensure industry standards best practices are applied to development activities and continuously ensures the team remains abreast of latest technology and tools in the area of data engineering.
• Works across multiple areas on data set to ensure solutions are successfully executed, within agreed upon time frames.

Knowledge and Attributes:

• Excellent ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Strong curiosity to sift through data to find answers and more insights.
• Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Excellent ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.
• Excellent ability to apply data science principles through a business lens.
• Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
• Excellent ability to think strategically about how to use data to drive competitive advantages.
• Excellent management and leadership skills.

Academic Qualifications and Certifications:

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Relevant programming certification preferred.
• Agile certification preferred.

Required experience:

• Significant demonstrable experience with one or more programming languages, statistical packages and database languages.
• Significant demonstrable experience with data warehouse and data lake technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
• Significant demonstrable experience applying statistical methods to solve business problems.
• Significant demonstrated experience with distributed data platform tools such as MS Azure, SAP Snowflake, Spark, MySQL, etc.
• Significant demonstrated experience in working in micro-services architecture working with APIs development.
• Significant demonstrable experience of full-stack software development with prolific coding abilities.
• Significant demonstrated experience with Agile Development Methodologies and Test-Driven Development.
• Solid line manager experience leading and managing a team of Data Engineering Teams

Workplace type:

Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

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Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

The Director, Data Engineering is a leadership role accountable for operationally managing a Data Engineering Team.

The Data Engineering Practice lead will lead the design, development of the enterprise data platform and pipelines.

This role is further responsible for overseeing SAP data migrations, ensuring seamless integration and transformation of legacy systems into modern cloud-based architectures.

The person will drive innovation, scalability, and governance in data engineering practices while managing a high-performing team.

Key Responsibilities:

• Manages a team of Managers and Data Engineers to ensure achievement of team objectives/KPIs and through continuous coaching and mentoring helps the team to understand and apply data to solve business solutions.
• Develop the new Data Platform - Execute the data engineering strategy per the selected platform.
• SAP Data Migration - Lead end-to-endSAP data migrationprojects, including planning, mapping, transformation, and validation.
• Engineering Team Leadership - Build and manage a team of data engineers and technical leads. Foster a culture of innovation, collaboration, and continuous improvement.
• Data Pipeline Development - Oversee development of robust ETL/ELT pipelines usingAzure Data Factory,Databricks,Snowflake Streams/Tasks, andSAP tools. Ensure pipelines are optimized for performance, reliability, and cost-efficiency.
• Data Management - partner with data management practice lead and governance lead to ensure adherence to data quality, lineage, and security standards. Implement monitoring and alerting for data pipeline health and SLA compliance.
• Stakeholder Engagement - Collaborate with business units and the internal analytics teams and IT to align data engineering efforts with strategic goals. Translate business requirements into scalable technical solutions.
• Ensure industry standards best practices are applied to development activities and continuously ensures the team remains abreast of latest technology and tools in the area of data engineering.
• Works across multiple areas on data set to ensure solutions are successfully executed, within agreed upon time frames.

Knowledge and Attributes:

• Excellent ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Strong curiosity to sift through data to find answers and more insights.
• Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Excellent ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.
• Excellent ability to apply data science principles through a business lens.
• Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
• Excellent ability to think strategically about how to use data to drive competitive advantages.
• Excellent management and leadership skills.

Academic Qualifications and Certifications:

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Relevant programming certification preferred.
• Agile certification preferred.

Required experience:

• Significant demonstrable experience with one or more programming languages, statistical packages and database languages.
• Significant demonstrable experience with data warehouse and data lake technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
• Significant demonstrable experience applying statistical methods to solve business problems.
• Significant demonstrated experience with distributed data platform tools such as MS Azure, SAP Snowflake, Spark, MySQL, etc.
• Significant demonstrated experience in working in micro-services architecture working with APIs development.
• Significant demonstrable experience of full-stack software development with prolific coding abilities.
• Significant demonstrated experience with Agile Development Methodologies and Test-Driven Development.
• Solid line manager experience leading and managing a team of Data Engineering Teams

Workplace type:

Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

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