Data Technical Lead

NextLink is having an existing position as a Data Technical Lead in Brussels area Belgium.

Start date: 01/10/2026

Duration: 24 months renewable

Workload: full time

Work location: Brussels area Belgium (2 days hybrid)

Job Description:

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 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.

Required skills:

Language: English fluent French fluent (Dutch is a bonus)

Minimum 5 years experience

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.

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).