Job description summary:
As a Data Engineer you will be in charge for developing analytical solutions (data warehouses and data marts) under kimball methodology using the Microsoft stack (SSIS / SSAS) and Azure databricks (Delta Lake, Python, Apache Spark).
Context
The Data Office is the corner stone of all data related activities within NIHDI (our client). You will join one of multi-disciplinary agile team consisting of data engineers, reporting experts, data functional analyst, project managers, data architects, data quality experts and AI specialists.
The data engineer sits within the central Data Office. He/she works in an agile scrum team in close collaboration with the Project Leader, the Data Functional Analyst and the Data Architect of the project.
Roles & Responsibilities
· Design, build, deploy and maintain BI solutions according to established standards (data ingestion, data warehouse, data marts) in accordance with the functional and non-functional requirements (performance, data volume), in collaboration with the Technical Lead and the Data Architects.
· Test the analytics solution, conduct troubleshooting, provide maintenance and adequate technical documentation.
· Create visualizations and reports for requested projects in Power BI or SSRS.
· Conduct prototype reviews and demo's including training on the data model to the business users.
· Works with the Project Leader along the entire project lifecycle to ensure appropriate delivery in an agile and pragmatic approach.
Technical Skills
· Bachelor or Master degree in Computer Science or equivalent through experience.
· Minimum 3 years of experience as a Data Engineer in the Microsoft BI stack (Visual Studio, SSIS, SSAS, SSMS, SSRS, Power BI, SQL Server from a development perspective) and Delta Lake
· Minimum 2 years of experience as a data engineer with Azure databricks & Python
· Very good Knowledge of Python (from a data engineer perspective), pandas and Apache Spark.
· Good experience in data warehouse design (Kimball dimensional modelling)
· Experience in working in an agile project mode is a plus
Profile
· Good technical skills
· Strong data literacy
· Can do attitude with strong sense of ownership and autonomy
· Strong problem-solving, pragmatic approach and delivery focus
· Team player, perseverant, stress resistant and flexible
· Like to learn and open-minded…
Languages
You will be part of a growing Belgian SME where initiative and personal development are encouraged. We will provide you with an enjoyable work environment with fun colleagues. We will work out a career plan with you, with attention and a budget for extra education/certification. You can count on an attractive salary, supplemented with extra-legal benefits, including a company car.
(Freelance is also possible)