Role Overview
Interroll is building its enterprise data platform on Databricks, with SAP S/4HANA, SAP Sales Cloud, and other business systems as core sources. We are looking for an Analytics Engineer to own the full journey from source data to insight.
What You Will Do
Design and build Data Products in Databricks, expose them through Power BI, and turn them into analysis that drives decisions.
Why It Might Be a Fit
You will join the Business Management team, working with stakeholders across Sales, Finance, and other business functions, and with Group IT, which runs the platform and source system integration.
Requirements
- 4+ years across data engineering, analytics engineering, and BI
- Expert SQL and solid Python/PySpark
- Hands-on Databricks experience (Delta Lake, Unity Catalog, Workflows/Jobs), or a similar lakehouse platform
- Advanced Power BI (semantic model design, DAX, row-level security, refresh, and performance optimisation)
- Strong data modelling skills (dimensional modelling, slowly changing dimensions, fact grain)
- Experience with testing and CI/CD for data (e.g., Databricks Asset Bundles, dbt, Azure DevOps or GitHub Actions)
- Understanding of Data Product and data mesh principles
- Experience in product ownership for data or analytics products
- Experience with SAP data (S/4HANA CDS views, SAP Datasphere, CRM)
- Business sense and the ability to explain complex findings to non-technical audiences
To apply for this job please visit linkedin.com.
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