Senior Data Engineer
Designs and builds Renesas’ enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake, shaping data ingestion, modeling, and governance for SAP/manufacturing domains while ensuring scalability, security, and data quality.
- Compensation
- Not disclosed
- Location
- George Town, Penang, my
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- 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)
Full 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.
- 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).
Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.
At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.
We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.