Internal Data Engineer (m/w/d)

Das ist der Job

Ingestion, scheduling, error handling.

Darum lohnt es sich

Enablement: You build models so that business teams can work self‑service in the BI tool. You talk to business teams and translate “can you pull me a report” into a data model. What we offer Work with real AI technology at international level — not as a pilot project, but as our business model. A short path to the management team.

Multi‑day team events in places that are actually fun. Your mission Pipelines: You connect our source systems — CRM (Pipedrive), product databases, finance systems, third‑party APIs, hotel systems (Opera, SIHOT, Delphi). Modelling: You build the transformation layer (dbt or equivalent): properly versioned, tested, documented.

Staging → core → marts. Metrics layer: One definition per metric. You permanently end the “but my spreadsheet says 4.2” conversation. Data quality: Tests, freshness checks, alerting. You notice a broken pipeline before the CFO does. You are not a dashboard butler.

Reporting support: You provide the reliable data foundation for C‑level and investor reporting — Finance handles interpretation. Your profile 3+ years as an Analytics Engineer, Data Engineer or BI Engineer with a strong modelling focus. Expert‑level SQL. Not “I can do joins” — window functions, incrementality, performance.

Experience with dbt — or a convincing explanation of how you solved it differently. Python for ingestion and automation. Experience with at least one warehouse: BigQuery, Snowflake, Redshift or Postgres‑based. Git, code review, tests, CI. Your data models are software, not a hobby project.

Nice to have You have moved CRM data (Pipedrive, HubSpot, Salesforce) into a warehouse before — including the joy of historically grown custom fields. Experience with orchestration (Airflow, Dagster, Prefect). BI tooling: Metabase, Looker, Power BI. GDPR awareness when handling personal data — not a side note for us.

We are the technology company rethinking group and event sales in hospitality. What runs today through inboxes, spreadsheets and phone calls, our platform Rocket turns into one continuous, AI‑supported process — from the first enquiry to the signed contract. European hotel groups already run their group sales on it.

What that means for you: you work with AI, not despite it. People who join us give feedback that shapes product decisions — and sooner or later come to understand why one prompt works better than another. And because we are growing fast, a lot here is still taking shape.

Sometimes the honest answer is “we’re still building that.” That is exactly where the opportunity lies: you will find open space rather than finished structures, and what you build here will carry your signature. Genuine room to shape things. Your ideas do not land in a suggestion box; they land in the next iteration.

Decisions take days, not committee rounds. Growth you are part of. We are building the company’s next chapter — with roles, responsibility and prospects that did not exist a year ago. Leipzig as your primary base , with regular time in the office and flexible remote work. Hybrid models are everyday practice here, not the exception.

Permanent contract, full‑time. Performance bonuses for demonstrable results. Our hiring process Intro interview — we get to know each other, and you learn where we stand and where we are heading. Case study or technical study , depending on the role — a real problem from our day‑to‑day that we work through together.

Interview with your future manager and, depending on the position, with our founders. From the first conversation to a decision takes at most two weeks. And you will hear from us either way — including when it is not a fit this time. #J-18808-Ljbffr