Senior Data Engineer

Job description

Job Summary

Design and build Renesas's governed enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake. A build-and-design role — work upstream with functional teams to shape how data is ingested, modelled, catalogued, and governed. Blend hands-on data engineering with architecture thinking and SAP/manufacturing domain fluency.

Focus on long-term value

reusable data, consistent standards, and a catalog that scales cleanly Responsibilities: Design the data catalog with functional teams — domains, schemas, naming, and structure. Align ingestion strategy per source (CDC vs. file-based; Fivetran / SAP Datasphere / ADF). Model data to the platform's guiding principles and medallion flow (Landing → Bronze → Silver → Silver Final → Gold). Build scalable ELT/ETL pipelines on Spark and Delta Lake.

Apply governance by design — Unity Catalog + Entra ID entitlements, group-based grants, standardization. Handle PII correctly — tag at the edge, classify (Class A/B), mask downstream via ABAC. Ensure data quality, performance, and security across pipelines. Drive CI/CD and DevOps practices for pipelines and catalog objects. Mentor junior engineers and contribute to design reviews and architectural decisions.

Qualifications

Strong Spark, Delta Lake, and distributed processing skills. Advanced SQL and Python. Hands-on Databricks / Unity Catalog experience. Solid ELT/ETL, data modelling, and orchestration background. Working knowledge of catalog / medallion design, PII, and data governance. Familiarity with SAP data (S/4HANA, Datasphere) and FI / CO / SD / MM / PP / GL domains. Understanding of manufacturing / supply-chain business flow. Experience with Oracle / SQL Server, CDC ingestion, and Git / Jira.

Awareness of data privacy regulation (GDPR, APPI).