We're looking for people who are always searching for creative ways to grow and learn. Its core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, intelligent road traffic technology and related services. The Information Technology (IT) department has the global responsibility for the internal IT of Siemens Mobility. Its goal is to provide a robust and effective IT landscape derived from business and market demands. In our team, we increase business performance and point the way into the digital age. Connected with this is an exciting career path that leads you to ever new projects and solutions in the field of IT for Siemens Mobility.

We are looking for a Senior Data Engineer

Design, develop, and maintain scalable end-to-end data pipelines (ELT) on modern cloud platforms (especially Snowflake)

Define and evolve the target data architecture (Data Warehouse / Data Platform) in alignment with business and IT strategy

Establish and implement data modeling standards, naming conventions, and architectural guidelines across domains

Build and optimize performant data models (staging, core/transform, mart layers) following standard processes

Implement and continuously improve CI/CD processes for dbt projects (deployment, testing, versioning)

Ensure high data quality through testing frameworks, constraints, monitoring, and data quality checks

Design and maintain monitoring, logging, and alerting systems for production data pipelines

Optimize performance of SQL transformations and data workflows

Translate sophisticated business requirements into scalable technical data solutions with measurable impact

Collaborate closely in a Data Mesh Setup with data analysts, architecture teams, and business collaborators in the Domain Project to deliver data-driven use cases





Create and maintain technical documentation and actively shape data engineering standard processes

7+ years of experience in Data Engineering / Analytics Engineering

- Strong expertise in SQL and hands-on experience with cloud data warehouses (preferably Snowflake)
- Practical experience with dbt (ideally dbt Cloud)
- Proven ability to translate business requirements into scalable, maintainable data architectures and solutions
- Deep understanding of modern data architectures (ELT principles, layered approach, Data Mesh, data products)
- Proven experience in building scalable data pipelines and data models
- Experience with data quality frameworks, monitoring, and governance concepts
- Experience in defining data architecture standards, governance frameworks, and best practices
- Experience working in multi-functional teams (IT, business stakeholders, external partners)

Experience with orchestration tools (e.g., Familiarity with Cloud services (e.g., AWS: S3, Glue)

Experience with BI tools (e.g., Power BI) and reporting solutions

Basic understanding of AI use cases and data preparation (e.g. Snowflake Cortex Semantic Models)

Experience in agile environments (Scrum, Kanban)

Experience in defining or working with enterprise architecture frameworks

Domain knowledge in areas such as Project & Finance

You are proactive, solution-oriented, and quality-driven

We value your outstanding identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. Bring your curiosity and encouragement and help us shape tomorrow.

Find out more about Siemens careers at: & more about mobility at #STS

📌 Senior Data Engineer - AI & Data (Pune)
🏢 Siemens
📍 Pune