Senior Data Engineer
Indexed description
How You’ll Make An Impact
- Design and build scalable data pipelines in Snowflake using SQL & Python
- Develop automation and ETL solutions, replacing legacy processes with modern, version-controlled workflows
- Build interactive Streamlit applications for finance users
- Develop and maintain Power BI reports, semantic models, and DAX measures
- Collaborate with Product Owners, Architects, and business stakeholders to deliver end-to-end data solutions
- Leverage AI coding tools (GitHub Copilot, Cursor, etc.) for faster, high-quality development
- Contribute to Agile delivery, code reviews, testing, documentation, and engineering best practices
What you Bring
- 5+ years of experience in Data Engineering / Analytics Engineering
- Strong expertise in Python, SQL, and Snowflake
- Experience with Streamlit and Power BI
- Solid understanding of data modeling, ETL, semantic layers, and CI/CD practices
- Hands-on experience with Git/GitLab and modern software engineering practices
- Exposure to SAP data environments is a plus
- Passion for AI-assisted development and continuous improvement
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
https://jobs.siemens-energy.com/jobs
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