Job Description
NextLink is having an existing position as a Senior Data Engineer Technical Lead in Brussels area, Belgium.
General information:
- Start date: ASAP
- Duration: 24 months renewable
- Workload: full time (2 days on site 3 days remote)
- Work location: Brussels area, Belgium
The Technical Support Data Engineer is responsible for the technical quality, architectural alignment, and enforcement of standards within a Data Engineering team.
This role acts as the primary technical reference and serves as the main interface between the Data
Engineers and the Data Platform Architects.
The selected candidate must bring a level of expertise allowing direct intervention on critical components of the Azure Data ecosystem.
In addition, this person will also get tasks to implement new pipelines and maintain existing ones.
• Serve as the technical authority for Data Engineers within a data team
• Conduct pulls request validations, peer reviews, and ensure full compliance with data engineering
standards.
• Provide coaching and guidance to junior Data Engineers.
• Contribute to the continuous improvement and maturity of data engineering practices within the
organisation.
• Act as the single point of contact between Data Platform Architects and engineering teams.
• Translate architectural guidelines into actionable technical instructions for engineering teams.
• Recommend alternative technical solutions depending on the targeted DWH layer (ingestion,
transformation, consumption…).
• Participate in the definition, evolution, and continuous improvement of the data platform and the data engineering standards.
• Provide structured feedback from field experience to refine practices and tooling.
• Contribute to performance optimization, data quality, and operational reliability.
Profile:
• Language: English fluent + French fluent + Dutch fluent
• University License/Master (Business/Commercial engineering, Applied Economic Sciences, IT)
• Minimum 5 years experience
• Design, develop, and optimize data pipelines within the Azure ecosystem.
• Demonstrate expert proficiency in:
o Azure Synapse
o Azure Data Factory (ADF)
o Mapping Data Flow (MDF)
o Databricks
o PySpark
o SQL
• Ability to support the data modeler to ensure robust, scalable, and well-modelled data
structures, with strong expertise in dimensional modelling (star schema, DWH concepts).
• Natural leadership and ability to guide multiple teams.
• Strong communication skills, both written and verbal, adapted to technical and non-technical
audiences.
• Analytical mindset, structured approach, and high attention to detail.
• Pedagogical attitude with the ability to support learning and development.
• High level of autonomy.
• Demonstrate technical decision-making capabilities.
Bonus :
• Experience using Power BI and experience with semantic data modelling.
Requirements
Minimum 5 years experience Design, develop, and optimize data pipelines within the Azure ecosystem. Demonstrate expert proficiency in: Azure Synapse Azure Data Factory (ADF) Mapping Data Flow (MDF) Databricks PySpark SQL Ability to support the data modeler to ensure robust, scalable, and well-modelled data structures, with strong expertise in dimensional modelling (star schema, DWH concepts). Natural leadership and ability to guide multiple teams. Strong communication skills, both written and verbal, adapted to technical and non-technical audiences. Analytical mindset, structured approach, and high attention to detail. Pedagogical attitude with the ability to support learning and development. High level of autonomy. Demonstrate technical decision-making capabilities.