Data Engineer

Join Synera, a remote/hybrid company, as a Data Engineer. You will own the data warehouse, build and own data flows, turn data into foresight, and make the data agent-ready. You will partner with every team to get their data into the warehouse and into a state an agent can act on. You will have the opportunity to shape the data foundation for Synera's superagent and report directly to Business Operations. Benefits include powerful equipment, company offsites, fitness programs, a development budget, and flexibility.

Missions

• Own the design, development, and maintenance of the data warehouse, ensuring it serves as the single source of truth for data.
• Extract, transform, and load (ETL) data from various business systems into the data warehouse, ensuring data reliability and structure.
• Collaborate with cross-functional teams to understand their data needs and ensure their data is integrated into the warehouse in a machine-readable format.

Profil recherché

- You have built the data layer behind LLM applications: retrieval, embeddings and vector search, context design, MCP and comparable tool interfaces. Hands-on evidence beats a course

- You have built reporting and forecasting people actually use and know the difference between a dashboard and an answer

- SQL is second nature; you have built ETL/data pipelines (Airflow or similar) and data models and are strong in data extraction and transformation

- Ownership mentality: you document what you build, you notice what nobody asked about, and you would rather fix the system than the symptom

- An automator by instinct: scripts, APIs, workflow tools, and AI agents are how you scale yourself. You use LLMs as a daily working tool, not a novelty and the idea of building the data brain behind a company-wide AI agent excites you

- You have integrated multiple systems: APIs, webhooks, auth models, rate limits and unannounced schema changes. You can debug a discrepancy across three tools until you find which definition was wrong, and you think about data access and privacy by default

- You work in English confidently; German is a plus. You communicate clearly with non-technical colleagues, sales reps, marketers, and executives alike

- Even if you don't meet these criteria perfectly but believe you have lots to bring to the role, we encourage you to apply. We know it's tough, but please keep in mind that you don't have to match all the listed requirements exactly to be considered for this role