About the Role

We are seeking a highly skilled Senior Data Engineer to design, develop, and maintain enterprise-wide data architectures across multiple application platforms. The ideal candidate will have extensive experience in building, operationalising, securing, and monitoring scalable data pipelines and data stores, ensuring alignment with architecture standards, solution designs, governance frameworks, and regulatory requirements.

Key Responsibilities

• Acquire datasets that align with business needs and requirements to enable useful and actionable information, providing feedback on the clarity and completeness of data requirements.
• Analyse data elements and systems, data flow, dependencies, and relationships to ensure conceptual physical and logical data models.
• Apply subject matter expertise into decisions relating to data engineering and data integration.
• Educate internal stakeholders on data engineering and data integration perspectives on new approaches.
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using various technologies (i.e. AWS and SQL technologies).
• Build, create, manage, and optimise data pipelines, move data pipelines into production, enabling data consumers to utilise data for reporting purposes.
• Collaborate with insights teams, Technology engineers and Data & Analytics leadership to identify opportunities for process improvements, recommend system modifications and give input to the development of policies for data governance.
• Contribute to automation initiatives and guide the identification, design, and implementation of internal process improvements, automation of manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
• Design, document and implement processes for executing partner system alignments, communicating these with the relevant stakeholders including Governance.
• Continually enhance processes to deal with the dynamics of partner systems alignment.
• Develop across several application platforms, provide capability across application platforms, construct, test and maintain complete data architecture, allowing for data-led and data driven decision making.
• Enable and execute internal and external data migrations across different databases, applications, servers and define and implement data stores based on system requirements and business consumer requirements.
• Execute on the design, definition and development of Application Programming Interfaces (API’s), aligning to relevant frameworks and guidelines.
• Create data tooling, enabling data consumers in building and optimising data consumption, taking integration and usage patterns into account.
• Guide and manage a small team to develop across several application platforms and provide capability across application platforms.
• Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimising data delivery, and automate manual processes.
• Liaise and collaborate with technology colleagues and segment/country data teams to understand viable data solutions within architectural guidelines.
• Make data accessible by interpreting business requirements, defining and providing technology solutions that collect, manage, and convert raw data into usable information to be interpreted by data consumers and insights teams.
• Participate in, to ensure, the deployment of solutions in accordance with applicable architecture, solution designs, standards, policies and governance requirements.
• Partner with Information security teams to safeguard and ensure compliance with data governance and data security requirements while creating, improving and operationalising integrated and reusable data pipelines.

Requirements

• 5-7 years experience in building databases, warehouses, reporting and data integration solutions.
• 8-10 years deep understanding of data pipelining and performance optimisation.
• 8-10 years’ experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling.

Qualifications

• Business Commerce Information Studies Information Technology

About the Role

We are seeking an experienced Senior Data Engineer to join our dynamic team at a leading technology group in South Africa. As a key member of our innovation-driven team, you will work on cutting-edge Microsoft technologies to deliver impactful enterprise projects for international clients.

Key Responsibilities

• Design and implement scalable, reusable data pipelines and ETL/ELT processes using Azure Data Factory, Synapse, and SSIS.

• Develop and optimise modern data warehousing solutions and complex data models.

• Build high-quality data platforms that support Machine Learning, advanced analytics, and business intelligence.

• Create compelling interactive dashboards and reports in Power BI.

• Collaborate with cross-functional teams to deliver innovative data-driven solutions.

• Ensure data security, compliance, privacy, and exceptional data quality.

• Implement DevOps practices and CI/CD pipelines for data workflows.

• Mentor junior team members and drive continuous improvement.

Requirements

• 5 years of hands-on experience in data engineering, business intelligence, or analytics.
• Strong expertise in Microsoft SQL, Python, DAX, and modern Azure data services (Data Factory, Synapse Analytics, Databricks, Data Lake, Power BI).
• Solid experience with data modelling, warehousing, and building production-ready data solutions.
• Proven ability to work with large, complex datasets.
• Experience with ETL/ELT processes and big data principles.

Qualifications

Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.

Salary & Benefits

Competitive salary package (R80k – R110k per month).