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 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.

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).