Siemens Energy

A Snapshot of Your Day: the role will focus on two core areas: Data Pipeline and Model Engineering, which involves designing and building the core data infrastructure, and Data Governance and Operational Excellence, which ensures the data is reliable, high-quality, and production ready. These areas directly support the creation of a sustainable data platform for finance analytics. 

How You’ll Make an Impact

• Data Pipeline and Model Engineering
  • Design, build, and optimize data models and ETL/ELT pipelines, with a focus on Snowflake for financial data.
  • Develop and maintain scalable data models that capture and track historical data for key financial performance indicators (KPIs).
  • Harmonize and transform historical SAP finance data into analytical-ready formats using defined business logic and mapping.
  • Develop and maintain APIs (e.g., using Flask/FastAPI) to enable secure and efficient data consumption by other applications and analytical services.
• Data Governance and Operational Excellence
  • Implement and manage data quality frameworks, including automated monitoring, alerting, and remediation workflows to ensure data accuracy and reliability.
  • Maintain comprehensive data documentation, including data lineage, metadata catalogs, and schema definitions.
  • Ensure the production-readiness of all data solutions by implementing CI/CD practices, automated testing, and system observability.
  • Collaborate with data analysts, data scientists, and business stakeholders to define data requirements, access patterns, and governance standards.

What You Bring

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• 3+ years of professional experience in data engineering, specifically in production environments.
• Demonstrated experience in designing and building ETL/ELT pipelines, data models, and working with data warehousing solutions (e.g., Snowflake), preferably within a Finance or Controlling domain.
• Strong data engineering and development expertise, including data modeling, database design, data integration, API development, and advanced programming skills in SQL and Python.
• Solid cloud and DevOps capabilities, with experience in automation, AWS‑based environments, and working with modern data platforms such as Snowflake.
• Effective business collaboration capabilities, including business intelligence insights, problem‑solving and troubleshooting skills, application of agile methodologies, and close collaboration with business stakeholders to define and refine requirements.