We are looking for a profile with at least 3 to 5 years of experience in one of the following areas:
- Analytics Engineering
- Data Engineering
- BI Engineering with strong technical depth
- Technical Data Analyst role with genuine data ownership
You ideally bring:
- Strong SQL skills.
- Good understanding of databases and data modelling.
- Experience in defining and structuring KPIs.
- Ability to work with operational, process-oriented or event-driven data.
- Experience with data quality, validation rules and documentation.
- Familiarity with Git, version control, testing or CI/CD practices.
- Ability to create small Python scripts when needed.
- Fluent English is required.
Experience with OLAP databases, event-driven data, IoT, warehouse automation, supply chain, logistics, MQTT or industrial data environments will be considered a strong plus.
What this role is not
This is not a purely Power BI or dashboarding role.
We are not looking for someone who only consumes data or produces visual reports.
We are looking for someone who is able to understand how data is produced, transformed, controlled and made reliable.
The right person will naturally ask the right questions:
- Where does this data come from?
- Can we trust this number?
- What exactly does this KPI measure?
- Which data should be excluded?
- How can we prove that the calculation is correct?
- How can we make this logic reusable and scalable?
