Ingénieur de données/Ingénieure de données

Note : this position is open for employee and freelance.
The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.

About the company

I'm recruiting for a Belgian IT & data consultancy, founded in 2018 and active in Belgium, France and Germany, with its home base in Brussels.

They're a close-knit team of around twenty specialists focused on the full data value chain: data governance, data integration, and data analytics & science, built on a strong foundation in software architecture and domain-driven design.

They're not a body shop. Almost all of their work comes from long-term missions with large enterprise and public-sector organisations across energy, public services, transport, finance and insurance. You'd typically work in a hybrid setup, around one to two days a week on the client site and the rest remote, within a clear but genuinely flexible framework.

The position

Within a Data & Analytics team, you'll design and optimise modern data platforms and pipelines in a hands-on, enterprise-scale role supporting reporting, analytics and operational decision-making.

• Build the pipelines. Design, develop and maintain scalable data pipelines and ETL/ELT processes within the Azure ecosystem.
• Architect the warehouse. Design robust data models and Data Warehouse structures (dimensional modelling), and develop ingestion, transformation and consumption layers within enterprise data platforms.
• Guarantee quality. Collect, cleanse, validate and integrate data from internal and external sources, ensuring data quality, integrity, security and governance across the lifecycle.
• Optimise & operate. Optimise large-scale data processing performance and platform scalability, troubleshoot incidents and support production environments.
• Collaborate & improve. Collaborate with analysts, architects and business stakeholders, and contribute to best practices and documentation within the Data & Analytics practice.

Your Profile

Must-have

• Minimum 7 years of experience in Data Engineering.
• Strong expertise with the Microsoft Azure Data Platform: Azure Data Factory, Synapse Analytics, Databricks, Mapping Data Flows, PySpark and SQL.
• Strong experience designing and developing ETL/ELT solutions and building/maintaining Enterprise Data Warehouses.
• Solid grasp of dimensional modelling (Star Schema, Snowflake Schema, Kimball) and Azure Data Lake / modern cloud data architectures.
• Knowledge of CI/CD and DevOps practices, with Git and source control management.
• Strong understanding of data quality, governance and security, and experience optimising large-scale data processing workloads.

What would makes you stand out

• Microsoft Fabric, Power BI and semantic data modelling.
• Python, SAS or Snowflake.
• Data Lakehouse architectures, Kafka, Azure Service Bus, RabbitMQ, NServiceBus, and event-driven, streaming or real-time data processing.
• Sector experience in insurance, banking & financial services, energy & utilities, public sector or transport & infrastructure.

Why join them

• A craftsmanship culture. They're a true learning organisation. Senior profiles mentor juniors the way master craftsmen pass on their trade, with weekly knowledge-sharing sessions and workshops where each expert presents real use cases to the rest of the team.
• Continuous coaching, start to finish. Their support starts during the interview process and continues throughout the mission. You're never "sold and forgotten" at a client: when something needs solving, the team sits down together, finds a solution, and you carry on.
• Real people, real trust. A genuine human side and trust-based flexibility, where you manage your own hours as long as the work gets done. It's still a small, transparent, family-feel company where profit is reinvested into the people and the business.
• Substance over buzzwords. They specialise in data and work for the business, not just for IT. No AI hype for its own sake; they believe sound data governance comes first, so the solutions you build actually create value.
• Concrete package. Employee package includes a company car, meal vouchers, group and hospitalisation insurance, a 13th-month salary, a training budget with certification support, and team-building activities. Freelance is also possible.

Practical details

• Start: September 2026.
• Location: Brussels (hybrid working model).
• Languages: Fluent English required, with professional proficiency in French and/or Dutch.
• Status: Employee or freelance.
• Engagement: Full-time, long-term mission.

Recruitment process

• A first call with me to get to know more about you, what you're looking for, if there is a match regarding the budget and answer your first questions.
• A meeting with the company to dive deeper into the role, the team and the mission.
• A technical and business deep-dive with the relevant experts.
• Offer and onboarding.

Interested? xlxgzvr

Apply here!