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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 Design, build, and maintain scalable data pipelines and curated data assets on Databricks. Develop reliable ETL/ELT processes to ingest, transform, validate, and publish data from multiple sources using advanced SQL, Python,PySpark & Dbt. Leverage Databricks notebooks, Unity Catalog, job scheduling, and performance optimization tools to ensure efficient and reliable data delivery. Create reusable, maintainable, and well-documented pipelines aligned with enterprise data engineering standards. Monitor, troubleshoot, and optimize pipeline performance, reliability, and availability of BI-ready datasets. Build trusted, reusable datasets, data marts, reporting tables, and views for Power BI, Sigma Computing, and other analytics platforms. What your background should look like: Strong practical experience in data engineering, BI enablement, and analytics delivery. Hands-on experience with Databricks data engineering and scalable pipeline development is must. Strong proficiency in SQL, Python, and PySpark is must. Experience with ETL/ELT design and development across multiple data sources. Strong understanding of data modeling, fact and dimension structures, star schemas, and semantic layers. Experience building BI-ready datasets, data marts, reporting tables, and reusable data products. Strong knowledge of data quality, validation, reconciliation, monitoring, and troubleshooting. Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork ABOUT TE CONNECTIVITY 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.