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SAP HANA/SuccessFactors Data Engineer

Deloitte

United KingdomHybrid

About the role

TL;DR

Build and support SuccessFactors data solutions in SAP HANA, using SAP Data Services (BODS), SAP Smart Data Integration (SDI), and SuccessFactors Report Centre, Integration Centre, and OData APIs. You’ll create governed HR reporting datasets and downstream integrations, support Tableau People Analytics, and work with internal, third-party, and offshore teams. The role is based in a UK office with hybrid working and requires hands-on BODS, SDI, SAP HANA SQL, and data modelling experience.

The BI and Data team develops and supports enterprise data and analytics capabilities across the UK and NSE businesses. We are looking for an experienced SAP HANA/SuccessFactors Data Engineer to design, develop, support and continuously optimise SuccessFactors data solutions within SAP HANA.

The role will contribute to the end-to-end delivery of SuccessFactors data engineering solutions, using SAP Smart Data Integration (SDI) and SAP Data Services (BODS) to provide reliable, well-governed data for critical HR reporting, downstream integrations and Tableau analytics. Working closely with HR, SuccessFactors, BI and Analytics teams, the role will collaborate with internal developers and third-party resources to deliver high-quality solutions.

Deloitte is actively embracing AI-assisted software engineering and modern data engineering practices. Candidates should be comfortable leveraging AI-powered development tools to improve productivity, code quality and delivery outcomes whilst maintaining rigorous standards for security, governance, maintainability and engineering excellence.

Key responsibilities include:

  • Design, develop, support and optimise SuccessFactors data solutions and scalable data models within SAP HANA.
  • Build, troubleshoot and optimise data ingestion and transformation processes using SAP Smart Data Integration (SDI) and SAP Data Services (BODS).
  • Translate People Analytics requirements into robust technical designs, transformation logic and delivery plans.
  • Develop reliable reporting datasets and downstream integrations, with strong data quality, reconciliation, lineage and governance controls.
  • Support People & Purpose dashboards and analytics solutions in Tableau, including maintenance and performance optimisation.
  • Collaborate with internal, third-party and offshore teams on technical delivery, code and design reviews, issue resolution and continuous improvement.

Connect to your skills and professional experience

Essential

  • Hands-on SAP Data Services (BODS) and SAP Smart Data Integration (SDI) experience, including development, scheduling, monitoring, troubleshooting and recovery.
  • Strong knowledge of SuccessFactors extraction and reporting methods, including Report Centre, Integration Centre and OData APIs.
  • Strong SAP HANA SQL and data-modelling skills, with experience building enterprise data integration pipelines and reporting datasets.
  • Practical understanding of data quality, reconciliation, lineage, auditability, governance, source control and collaborative development practices.
  • Ability to translate business requirements into secure, maintainable technical solutions and documentation, including critically reviewing AI-assisted code and outputs.

Desirable

  • Understanding of the SuccessFactors data model, including effective-dated data, foundation objects, employee and employment data, MDF objects, associations and picklists.
  • Tableau Desktop, Tableau Prep and Tableau Server experience, ideally supporting People Analytics, HR reporting or workforce analytics.
  • Knowledge of SAP HANA administration, security and application deployment, plus exposure to SAP BDC, Datasphere or SAP Analytics Cloud.
  • Experience collaborating with third-party suppliers, offshore teams or development partners within Agile or Scrum delivery environments.
  • Experience using AI-assisted development tools such as GitHub Copilot, Claude Code or Cursor for coding, testing, troubleshooting and documentation.
  • Understanding of reusable prompting, AI-assisted engineering workflows, agentic development approaches and responsible enterprise AI practices.
  • Exposure to Databricks, Microsoft Fabric, Azure Data Factory or similar modern data engineering platforms, ideally in a global delivery model.

Our hybrid working policy

You’ll be based in one of our UK offices with hybrid working.

At Deloitte we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You’ll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter for the specific working requirements that may apply for your role.

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