Job Posting Title: Sr Data Engineer
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview
- Build declarative pipelines (Databricks Lakeflow / DLT) on Medallion Architecture (Bronze → Silver → Gold), delivering governed, audit-ready data products with Unity Catalog lineage, access controls, and CI/CD (Asset Bundles, GitHub Actions).
- Able to decode SAP ABAP programs (Z-reports, Transaction codes) into modern Databricks pipelines and orchestrate pipelines via Databricks Workflows.
- Build production grade, reliable ETL/ELT processes using Python / PySpark transformations notebooks in Databricks / DBT Tool to transform, validate and publish data from multiple sources or bronze layers.
- Design optimized, scalable and well documented Gold Layers and semantic models (Direct Lake, star-schema, RLS, incremental refresh) for high-performance finance reporting in Microsoft Fabric / Sigma Computing / Databricks.
- Build AI Integrated Insights on curated Gold-layer finance datasets to enable natural-language analytics for Finance Users.
- Act as strategic consultants to senior finance stakeholders like elicit requirements, frame problems, build business cases, and produce BRDs, dependency matrix and required documentation.
- Establish architecture standards, perform RCA on data and platform issues, close lineage / KPI gaps, and drive structural fixes.
- Mentor engineers / BI analysts and Finance users on copilots and promoting best practices.
What Your Background Should Look Like
- Build declarative pipelines (Databricks Lakeflow / DLT) on Medallion Architecture (Bronze → Silver → Gold), delivering governed, audit-ready data products with Unity Catalog lineage, access controls, and CI/CD (Asset Bundles, GitHub Actions).
- Able to decode SAP ABAP programs (Z-reports, Transaction codes) into modern Databricks pipelines and orchestrate pipelines via Databricks Workflows.
- Build production grade, reliable ETL/ELT processes using Python / PySpark transformations notebooks in Databricks / DBT Tool to transform, validate and publish data from multiple sources or bronze layers.
- Design optimized, scalable and well documented Gold Layers and semantic models (Direct Lake, star-schema, RLS, incremental refresh) for high-performance finance reporting in Microsoft Fabric / Sigma Computing / Databricks.
- Build AI Integrated Insights on curated Gold-layer finance datasets to enable natural-language analytics for Finance Users.
- Act as strategic consultants to senior finance stakeholders like elicit requirements, frame problems, build business cases, and produce BRDs, dependency matrix and required documentation.
- Establish architecture standards, perform RCA on data and platform issues, close lineage / KPI gaps, and drive structural fixes.
- Mentor engineers / BI analysts and Finance users on copilots and promoting best practices.
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more. Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).
What Te Connectivity Offers
- Unlimited contract opportunity
- Pleasant working environment fostering teamwork
- Open and dynamic company culture
- Extensive training initiatives and growth opportunities
- Competitive salary package
- Comprehensive benefits including Group insurance, Hospitalization insurance, Meal vouchers etc.
- Convenient location at E40 and E403 motorway intersection
- Join a certified "TOP EMPLOYER" in a modern "FACTORY OF THE FUTURE"