Data Context Engineer (f/m/d)

Arbeitsagentur; Amadora; Híbrido; EUR 45 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Attractive remuneration package

Siemens share plans

2–3 days mobile working per week

30 days paid vacation

Flexible work schedules

Resumo da oferta

Siemens AG is seeking a Data Context Engineer to industrialize the knowledge base of AI and build scalable data architectures for context, memory, and tool integration across multi-agent orchestration.

You will translate AI research requirements into stable data architectures, ensuring governance, model risk management, and seamless data flow. Hybrid work with global standards complements a dynamic AI lab environment.

Qualificações

• 3-5 years of experience in Data Engineering, AI, or related fields.
• 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.

Responsabilidades

• Industrialize the knowledge base of the AI: design and implement robust, scalable architectures for context, memory, and tool integration for multi-agent orchestration.
• Advise AI lab and business departments; analyze missing context; develop data-level and workflow integration solutions.
• Translate AI research requirements into stable data architectures ensuring AI governance and model risk management.
• Build semantic backbone of Data Mesh: model networked data and knowledge using dbt, dbt Semantic Layer, Python, and Knowledge Graphs; develop semantic views in Snowflake.
• Define gold standard for AI data quality: establish evaluation and benchmark processes including data catalog integration and AI benchmarks.

Conhecimentos

Python

SQL

Data modeling

dbt

Snowflake

LLMs

Agentic systems

AI application development

GraphRAG

Formação académica

Degree in (Business) Informatics, Mathematics, Data Science

Ferramentas

Snowflake

dbt

dbt Semantic Layer

Knowledge Graphs

Descrição da oferta de emprego

What if your work could not only influence but also significantly accelerate corporate management and decision-making? If you lay the crucial foundations so that our agentic systems can scale reliably and thus become a real productivity booster for our company? That is precisely your mission. We are already well advanced in the field of AI and agentic systems. But to make the leap from intelligent prototypes to autonomously acting, productive systems, we must solve the decisive challenge: scaling the data context. As a Data Context Engineer (f/m/d), you are the key player to master this challenge. Building on our state‑of‑the‑art Data Mesh, you will industrialize the bridge to our intelligent agents. Your mission is to create the structure, knowledge, and reliability in the data foundation so that our AI vision can become a reality — combining data engineering with agentic engineering to make enterprise context, tools, and governance scalable for AI systems.

What we offer you

• 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’ll make an impact by

• 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.

This is how you'll win us over

Education

Degree in (Business) Informatics, Mathematics, Data Science, or a comparable discipline.

Experience & Skills

• 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.

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.

As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities. In the case of equal qualifications, severely disabled applicants and applicants with equivalent status will be given preference.

About us

Find more information about the department and its products here: https://www.siemens.com/global/en/products/

www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.

FAQ – if you need further information on the application process.