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Senior Data Engineer

Siemens · Posted Oct 12

Industrial automation, software, infrastructure, and medical technology solutions

Pune - Maharashtra - IndiaFull-timeOnsiteSenior Level7+ years₹22.0L–₹32.0L yearly<25 applicants
Industrial AutomationIndustrial EngineeringElectrical EngineeringMedical TechnologySoftwarePublic Company
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About the role

Siemens Mobility's Information Technology department holds global responsibility for the internal IT of Siemens Mobility, aiming to provide a robust and efficient IT landscape derived from business and market demands. The team is hiring a Senior Data Engineer to design, build, and maintain scalable ELT data pipelines and layered data models on cloud platforms, primarily Snowflake with dbt, within a Data Mesh setup. This individual-contributor role based in Pune also involves defining data architecture and governance standards while collaborating with data analysts, architecture teams, and business stakeholders.

What you will do

  • 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 used in this role

SQLSnowflakedbtdbt CloudELTData MeshAirflowAWSAmazon S3AWS GluePower BICI/CDScrumKanbanSnowflake CortexData ModelingData Architecture

What the employer is looking for

  • 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)

Preferred qualifications

  • 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
  • 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.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Siemens

Siemens AG is a global technology powerhouse focused on industry, infrastructure, transport, and healthcare. The company creates smart digital enterprise solutions, industrial automation, and software to help customers transform industries and digitalize operations worldwide.

Industry
Industrial Automation
Company size
318,000+ employees
Founded
1847-10-12
Location
Munich, Germany
Funding stage
Public Company

Leadership

RB
Roland Busch

President and Chief Executive Officer

VB
Veronika Bienert

Chief Financial Officer

PK
Peter Koerte

Chief Technology Officer and Chief Strategy Officer