Senior Data Engineer Technical Lead

Ref: 3475SDETL

This is a consultancy mission delivered by Keystone Solutions at our client. As a Keystone Solutions consultant, 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. All responsibilities and activities will be performed under Keystone Solutions' consultancy model, working closely with the client's stakeholders.

• Expected Start date: Asap
• Duration: 24 months (Depending on project evolution, extension is possible)

• English: Fluent in speaking, reading, and writing (Mandatory)
• French: Fluent in speaking, reading, and writing (Mandatory)
• Dutch: Good in speaking, reading, and writing (Preferable)
• Proficiency levels: 1 = Basic, 2 = Good, 3 = Fluent

Brussels centre, hybrid working: 2 days in office of which 1 is fixed.

Personal Skills (soft skills - intangible qualities or traits that enhance our interactions) — Mandatory

• 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.

Technical experience required (hard skills related to physical or digital tools) — Mandatory

• 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).

Preferable

• Experience using Power BI and experience with semantic data modelling.

• →Serve as the technical authority for Data Engineers within a data team
• →Conduct pull 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.

All the above responsibilities will be executed as a Keystone Solutions consultant, closely collaborating with the client's engineering and architecture teams.

• Consultancy nature of work: Operate on-site and in hybrid mode at client locations as a Keystone Solutions consultant, acting as a trusted technical reference while aligning with client architecture and governance.
• Dynamic projects: Tackle diverse data engineering challenges across different client contexts, from ingestion to transformation and consumption layers in the Azure ecosystem.
• Turbo-charged learning and development: Access mentorship, certification support, and communities of practice covering Azure, Databricks, data modelling, and data quality disciplines.
• Ambition skyrocketing within a consultancy framework: Accelerate your career through varied client engagements, expanding scope from hands-on engineering to technical leadership and standards governance.

• Excellence and craftsmanship: We set the bar high for technical quality, architectural alignment, and standards enforcement on every client mission.
• Collaboration and empathy: We communicate clearly with technical and non-technical audiences and coach teams to grow capability.
• Integrity and trust: We act as reliable partners to our clients, providing candid, structured feedback to improve platforms, practices, and tooling.
• Curiosity and growth: We promote continuous improvement, experimentation, and knowledge sharing across all engagements.
• Impact and accountability: We take ownership for performance, data quality, and operational reliability.

• Apply your Azure Synapse, ADF, Databricks, PySpark, and SQL expertise to directly intervene on critical components of the Azure Data ecosystem while shaping standards across teams.
• Lead by example in code reviews, modelling support, and pipeline optimization, ensuring robust star-schema-based DWH solutions tailored to each client's context.
• Serve as the bridge between Data Platform Architects and Data Engineers, converting architectural guidelines into actionable patterns that scale across client environments.

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today at Keystone Solutions Career Portal.