Senior Data Engineer

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.

Requirements

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).