Senior Data Engineer (Remote, Flexible Working Hours)

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Senior Data Engineer (Remote, Flexible Working Hours)

10/12/26

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

`At TE we strongly believe that data and analytics are strategic drivers for future success. We are building a world class advanced analytics team that will solve some of the most complex strategic problems and deliver topline growth and operational efficiencies across our business The Analytics team at TE is part of the TE Information Solutions (TEIS) Organization and is responsible for driving organic growth by leveraging big data and advanced analytics. The team reports to the VP and Chief Data Officer at TEIS, works closely with the SVP of Corporate Strategy, and has regular interactions with the company’s C-Suite.   We are on an exciting journey to build and scale our advanced analytics practice. TE is looking for a Data Engineer. The suitable candidate should have demonstrated experience in designing and implementing ETL solutions on-premise and cloud platforms to support Enterprise data warehouse, Data Lake and advanced analytics capabilities. Success in this role comes from marrying a strong data engineering background with product and business acumen to deliver scalable data pipeline and BI solutions that can enable data for Self Service and Advanced Analytics at TE in a simple and standard manner.   You will be responsible to help defining ROI, requirements analysis, design and implementation data solutions on-premise and cloud. The candidate will work closely with project managers, vendor partners, business unit representatives, project sponsors and Segment CIO teams to deliver the solutions. The candidate is expected to communicate project status, issues and change control to all levels of management. Job Responsibilities

Designs and develops ETL solutions using data warehouse design best practices for Next Generation Analytics platform Analyze data requirements, complex source data, data models, and determine the best methods in extracting, transforming and loading the data into the data staging, warehouse and other system integration projects. Analyze business requirements and outline solutions. Have deep working knowledge of on-prem & cloud ESB architecture to address the client’s requirements for scalability, reliability, security, and performance Provide technical assistance in identifying, evaluating, and developing systems and procedures. Document all ETL and data warehouse processes and