Senior Analytics Engineer
Siemens Pune, Maharashtra, India
Automation Machinery Manufacturing · 10,001+ employees
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About the role
The Senior Analytics Engineer will act as a consultant to build scalable data models and implement robust data architecture across the organization. They will also drive DataOps best practices and maintain high data quality within a cross-functional agile team.
What they look for
Requirements
Candidates must possess a bachelor's degree in a quantitative field and extensive experience in data engineering and warehousing. Expert-level proficiency in SQL, dbt, and cloud data platforms like Snowflake is required.
Full description
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
Job ID
525204
Posted since
12-Oct-2026
Organization
Information Technology
Field of work
Information Technology
Company
Siemens Technology and Services Private Limited
Experience level
Experienced Professional
Job type
Full-time
Work mode
Office/Site only
Employment type
Permanent
Location(s)
• Pune - Maharashtra - India
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