Your mission

Pipelines: You connect our source systems — CRM (Pipedrive), product databases, finance systems, third-party APIs, hotel systems (Opera, SIHOT, Delphi). Ingestion, scheduling, error handling.
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.
Enablement: You build models so that business teams can work self-service in the BI tool. 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.
You talk to business teams and translate “can you pull me a report” into a data model.
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.

Why us?

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.

What we offer

Work with real AI technology at international level — not as a pilot project, but as our business model.
Genuine room to shape things. Your ideas do not land in a suggestion box; they land in the next iteration.
A short path to the management team. 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.
Multi-day team events in places that are actually fun.

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.