Senior Data Engineer

Siemens AG; Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Siemens Technology and Services Private Limited is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines on Snowflake with a data mesh mindset. You will define data architectures, establish standards, and ensure data quality while partnering with IT and business units across the enterprise.

The role emphasizes translating complex requirements into scalable data solutions, building robust data models, and enabling data-driven use cases in a cross-functional team.

Qualifications

• 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).

Responsibilities

• 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.
• Analyze, troubleshoot, and resolve incidents while continuously improving platform stability.
• 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.
• Support user adoption through documentation, knowledge sharing, and enablement initiatives.

Skills

SQL

Snowflake

dbt

Data Mesh

Data pipelines

Data modeling

Data quality

Airflow

AWS

Power BI

Tools

dbt Cloud

Airflow

Snowflake

Power BI

AWS S3

Job description

Siemens Technology and Services Private Limited

Mid-level Professional

Job type

Full-time

Office/Site only

Employment type

Permanent

Location(s)

We empower our people to stay resilient and relevant in a constantly evolving 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. Siemens Mobility is an independent handled company of Siemens AG. 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 efficient IT landscape derived from business and market demands. Your personality and individuality make the difference. In our team, we increase business performance and point the way into the digital age. Is that exactly your thing? Then live your passion in a cross-location team in which you can actively craft the future of our company. You open up new possibilities for our customers with your competence. 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

You’ll make a difference by:

• 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
• Analyze, troubleshoot, and resolve incidents while continuously improving platform stability
• 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
• Support user adoption through documentation, knowledge sharing, and enablement initiatives.

You’ll win us over by:

• 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)

Nice to Have

• Experience with orchestration tools (e.g., Airflow)
• 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

What Sets You Apart

• You think not only end-to-end, but also architecturally and strategically across domains
• You combine technical excellence with a strong architectural attitude
• You are proactive, solution-oriented, and quality-driven
• You take ownership and drive topics independently.

Join us and be yourself!

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. Come bring your authentic self and build a better tomorrow with us.

Make your mark in our exciting world at Siemens.

This role is based in Pune and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. 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. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and encouragement and help us shape tomorrow.