Data analyst/ engineer at Flawless Workflow

Flawless Workflow builds Data & AI platforms that help organizations work smarter, serving clients ranging from housing associations and municipalities to manufacturing and construction companies. The team is 24 people — young, fast-growing, with no corporate layers or endless approval chains.

As a mid-level Data Engineer, you'll build the data foundations that power BI dashboards and AI agents. A typical project starts with a client whose data is scattered across ERPs, CRMs, Excel files, and legacy databases. Backend developers handle the source connections; from there, you take over. Your responsibilities include designing and building the data warehouse layer in Postgres, creating and maintaining dbt models that transform raw data into clean and documented datasets, building dashboards that deliver real-time insights, and collaborating closely with backend developers and machine learning engineers. You'll continuously improve data quality, performance, and reliability across projects.

The ideal candidate profile (soft skills): someone who thrives on variety and real business problems, takes ownership from day one, is comfortable communicating, and enjoys working in a collaborative, knowledge-sharing team environment.