Data Technical Lead

· 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.

· 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).