Senior Data Engineer

Join a high-impact People Data & Insights Transformation programme driving the future of workforce intelligence.

Remote (South Africa) | Cape Town candidates have the option to work from the Wembley office | Up to R80,000 per month (flexible) | UK Hours: 8:00 am – 5:00 pm

About Our Client

Our client is a global research and insights organisation undertaking a major People Data & Insights transformation initiative. With people data currently spread across multiple platforms and systems, they are investing in building a scalable, automated, and insight-driven HR data ecosystem that will become the single source of truth for workforce planning, performance analytics, and reward decision-making.

This is a highly strategic role where you will play a central part in designing the future state of people data, establishing governance frameworks, and enabling data-driven decision-making across the organisation.

The Role: Senior Data Engineer

As the Senior Data Engineer, you will lead the design and development of a unified HR data ecosystem that consolidates people data from multiple sources into a clean, scalable, and automated platform. You will be responsible for building enterprise-grade data models, integrating HR systems, automating reporting through Power BI, and establishing robust governance processes.

The role will focus initially on creating the data foundations, integrating systems such as SAP SuccessFactors and BambooHR, and delivering trusted automated dashboards. As the programme matures, you will expand the solution to support workforce planning, compensation analytics, benchmarking, and long-term business decision-making.

Key Responsibilities

• 7+ years of experience designing and implementing enterprise-scale data engineering solutions


• Design and build a unified HR data model integrating data from multiple HR and business systems


• Develop and maintain scalable ETL/ELT pipelines across HRIS platforms, APIs, and flat-file data sources


• Integrate SAP SuccessFactors, BambooHR, finance data, LinkedIn API Gateway data, and other people data sources


• Build automated Power BI datasets, dashboards, and reporting solutions covering workforce planning, people insights, and HR operations


• Develop semantic models, dataflows, incremental refresh processes, and reporting architectures within Power BI


• Establish data governance frameworks, data quality controls, monitoring processes, and documentation standards


• Collaborate with HR, Finance, and People Operations stakeholders to deliver reliable business insights


• Implement security controls and role-based access structures across reporting environments


• Transfer knowledge and documentation to internal stakeholders to ensure long-term sustainability

About You

• 7+ years of experience as a Data Engineer or Analytics Engineer


• Strong expertise designing enterprise-scale data models and data warehouse solutions


• Advanced SQL skills


• Proven experience building ETL/ELT pipelines in complex data environments


• Advanced Power BI expertise, including Power Query, DAX, Dataflows, Semantic Models, and Incremental Refresh


• Strong Azure data platform experience


• Experience integrating SAP SuccessFactors data


• Experience working with HRIS platforms such as BambooHR, Workday, Oracle HCM, or similar systems


• Strong API and REST service integration experience


• Experience working with CSV, flat-file, and structured data ingestion processes


• Strong understanding of data governance, data quality, and reporting best practices


• Experience building automated dashboards and performance reporting solutions


• Ability to work cross-functionally with HR, Finance, and operational stakeholders


• Strong documentation, communication, and stakeholder engagement skills


• Experience supporting workforce planning, people analytics, compensation analytics, or HR transformation initiatives would be advantageous