Data Ingestion Engineer

• Taking end-to-end ownership of data ingestion pipelines — from SAP source extraction through to structured, consumption-ready data in Snowflake.
• Designing and implementing scalable DataOps practices so that pipelines are tested, version-controlled, and deployable with confidence.
• Building and maintaining dbt transformation models that support Snowflake side operations.
• Monitoring ingestion flows, identifying issues early and resolving them before they impact downstream consumers.
• Collaborating with data teams across Siemens as a technical partner — sharing expertise, reviewing designs, and contributing to reusable standards and patterns.
• Continuously improving the data stack by staying current with tooling advancements and bringing new ideas to the team.
• Communicating clearly about what the team builds and the value it generates for the business.

You’re excited to build on your existing expertise, including:

• A degree in Computer Science, Mathematics, Business Administration, or a related field — or equivalent hands-on experience.
• Solid experience in data integration and pipeline development, ideally in an enterprise environment.
• Hands-on experience with Snowflake — data loading patterns, performance optimization.
• SQL skills, including writing and tuning complex queries.
• Experience with dbt for data transformation is a strong plus.
• Familiarity with SAP system monitoring and data extraction concepts.
• Programming skills in SAP ABAP — advanced knowledge is a plus, but not a requirement.
• Experience with SAP SLT is a plus.
• Comfort working with CI/CD pipelines, Git-based workflows, and automation tooling.
• Strong communication skills and fluency in English.
  • A collaborative mindset and genuine enjoyment of working across teams and disciplines.