You are a data analyst who wants to build more on the backend: stable data pipelines, intelligent models and reliable platforms. In our 1.5-year programme, you grow step by step towards the role of full Data Engineer. You work on a project basis with a client, with room to choose your own path.
## What you'll do
- You follow a learning path towards Data Engineer and apply it directly in your assignment
- You design and build data pipelines (batch and/or real-time) and set up ETL processes
- You contribute to designing and building a data platform within a Microsoft Azure environment, bringing together data from different sources and making it available via the Medallion architecture
- You model data and deliver datasets ready for reporting and analysis
- You ensure quality through testing, monitoring and clear documentation, for example via Microsoft Purview
- You coordinate with stakeholders; content varies per client and project
## Requirements
- Minimum 3 years of experience as a data analyst, data scientist or BI developer
- Higher professional or university degree in Computer Science, Data Science, (Technical) Business Studies, (Applied) Mathematics, Econometrics or equivalent
- Solid foundation in Power BI and Python and/or SQL
- Experience with data modelling within Microsoft Azure environment is a plus
- Experience with Azure Data Factory, Databricks/Spark, dbt, CI/CD (Azure DevOps), Tests & Monitoring and/or Git workflows is a strong plus
- Commitment to a 1.5-year development trajectory and availability for 36-40 hours per week