The role reports to the Group BI Head and is focused on delivering end-to-end BI solutions across SAP, Azure, SQL Server, and Power BIWhen screening candidates, please ensure they have hands-on, verifiable experience in the following mandatory areas:
- SAP ECC / S/4HANA data models, tables, and CDS views
- Microsoft Azure data platform (ADF, Data Lake, Azure SQL, Synapse and/or Fabric)
Candidates must have experience building BI solutions end-to-end, from data ingestion and transformation through to dashboard development and KPI reporting. Experience working with SAP data and cloud-based analytics platforms is essential.
OBJECTIVE / PURPOSE OF JOB
The BI & Data Engineer designs, builds, and delivers complete business intelligence solutions from source to dashboard. Data is sourced from the organizations SAP landscape (SAP ECC today, transitioning to SAP S/4HANA), integrated and modelled on
Microsoft Azure and SQL Server, and delivered to the business through Power BI. The role owns the full BI lifecycle: understanding the SAP data model, ingesting and transforming data on Azure, building governed data models, and developing advanced Power BI reporting. It also supports the modernization of the BI landscape and the migration of legacy reporting to Power BI, while standardizing KPIs across the business. The BI & Data Engineer collaborates closely with business stakeholders, data engineers, and leadership to ensure scalable, accurate, and future-ready analytics solutions
EXPERIENCE AND KNOWLEDGE
Required
Bachelors degree in Business Analytics, Information Systems, Computer Science, Engineering, or a related field.
5-8+ years of experience in BI / data development, including end-to-end solution delivery.
SAP ECC & S/4HANA data models mandatory (table structures, CDS views, business data relationships).
SQL Server mandatory (advanced T-SQL, performance tuning).
Microsoft Azure – mandatory (Data Factory, Data Lake, Azure SQL / Synapse and/or Fabric).
Power BI development – mandatory (DAX, semantic models, performance optimization).
Strong dimensional data-modelling and data-warehousing skills.
Demonstrated experience in data validation, reconciliation, and cross-system consistency checks.
Proven ability to define, implement, and govern KPIs and business performance metrics.
Desirable
Experience extracting SAP data into the cloud (CDS / ODP / SLT / OData, ADF SAP connectors, or tools such as Theobald / Fivetran).
Familiarity with the existing SAP BusinessObjects / Qlik landscape, to support migration.
Python / PySpark for Synapse or Fabric notebooks; Git / CI-CD for data and analytics.
Experience working in BI transformation or platform-modernization projects.
Familiarity with data governance, data privacy, and security best practices.
