Data Context Engineer

• You will industrialize the knowledge base of the AI: You design and implement robust, scalable architectures for context, memory, and tool integration, which enable our agents to reliably execute complex, multi-stage tasks across multi-agent orchestration, MCP, and A2A-based interaction patterns.
• You will act as an internal consultant and sparring partner: You will actively advise our AI lab and the business departments, analyze where missing context limits the performance of our agents, and develop targeted solutions at the data level and in enterprise workflow integrations such as Google Workspace and related SDKs.
• You will function as an interface between the AI lab and the data world: You will translate the demanding requirements of our AI researchers into stable, scalable data architectures and thus ensure a smooth flow of information with a strong focus on AI governance and model risk management.
• You will build the semantic backbone of our Data Mesh: You will model highly networked data and knowledge models using dbt, the dbt Semantic Layer, Python, and Knowledge Graphs. Based on this, you will develop semantic views in Snowflake and leverage Snowflake Intelligence and Cortex Analyst to create a machine-readable knowledge layer that serves as a “single source of truth” for our AI.
• You will define the gold standard for AI data quality: You will establish sophisticated evaluation and benchmark processes to systematically ensure the consistency, accuracy, and trustworthiness of the information on which our agents operate including LLM tracing, lineage, data catalog integration, and internal AI benchmarks.

• Degree in (Business) Informatics, Mathematics, Data Science, or a comparable discipline., + 3-5 years of experience in Data Engineering, AI, or related fields, with a strong understanding of building solutions beyond prototypes.
• Solid expertise in Python, SQL, data modeling, dbt, and Snowflake.
• Practical experience with LLMs, agentic systems, and AI application development; GraphRAG experience is a plus.
• Knowledge of Data Governance, Master Data Management, and vector databases is an advantage.
• Strong analytical skills with the ability to solve complex technical challenges and communicate solutions effectively to diverse stakeholders.

• Ways of working *

• Thrive in a fast-paced, collaborative, and agile environment.
• Take ownership and work effectively both independently and within cross-functional teams.
• Bring a strong growth mindset, curiosity, and willingness to continuously learn.
• Act as an enabler, creating scalable solutions that increase team productivity and business impact.
• Combine hands-on execution with a structured, solution-oriented approach.

• Languages *

• Very good German and English skills round off your profile.

• An attractive remuneration package
• Access to Siemens share plans
• 2 to 3 days of mobile working per week as a global standard
• 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family
• A work environment where you can contribute with your whole personality and truly feel like part of Siemens

Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.

The individual benefits are subject to regulatory, contractual, or corporate conditions.

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant.