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Salary
≈ $16k – $31k per year (Estimated)
Location
In office (Pune)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 12, 2026.

Overview
Company
Impact
Profile match
Siemens is a German technology conglomerate founded in Berlin in 1847 by Werner von Siemens around a telegraph that indicated letters rather than Morse code. After a decade of divestments it now concentrates on industry, infrastructure, transport and healthcare, supplying factory automation and control systems, building and grid technology, trains and signalling, and the Teamcenter and NX design software acquired through a long run of software purchases. The Siemens Xcelerator platform ties hardware to software and digital twins, and the group retains a majority stake in the separately listed medical imaging company Siemens Healthineers.

Hello Visionary!

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

We are looking for Senior Analytics Engineer

You’ll break new ground by:

  • Act as a key consultant and enabler for data teams across Siemens, helping them tackle complex data modeling and data warehousing challenges.
  • Build outstanding, scalable data models by extracting and transforming data from various sources.
  • Shape and implement the data architecture, including standards for data models, metadata, and security, ensuring adherence to the overall architectural vision.
  • Drive best practices in a DataOps environment, participating in code reviews, retrospectives, and encouraging a culture of knowledge sharing and continuous improvement.
  • Implement effective and sophisticated database solutions in Snowflake to store, retrieve, and transform company data for analytical applications.
  • Produce meaningful metrics and logs to debug, trace, and supervise data pipelines and models, ensuring high data quality and reliability.
  • Be a valued technical leader, mentor, collaborator, and champion of best practices within an autonomous, cross-functional agile team.

You’re excited to build on your existing expertise, including:

  • A bachelors’ degree in IT, Engineering, Economics, or a related quantitative field.
  • Extensive experience in data engineering and data warehousing, with a consistent record of building and maintaining complex data models.
  • Expert-level programming skills in SQL and deep proficiency with dbt.
  • Strong experience working with cloud data warehouses, particularly Snowflake.
  • Familiarity with modern data ingestion frameworks and tools such as SnapLogic or Confluent Cloud.
  • Proficiency in at least one general-purpose programming language, preferably Python.
  • Proven experience with major Cloud technologies (AWS, GCP, Azure) and working in agile software development environments.
  • A problem-solving and data-first approach, with the ability to create real business value.
  • Excellent command of English is required and German is an added advantage.

Create a better #TomorrowWithUs!

This role is based in Pune/Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Find out more about Siemens careers at: www.siemens.com/careers

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