Senior Data Engineer Technical Lead

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.