Data Engineer M/F
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Role details
Tech stack
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Job description
- Design and implement end-to-end data pipelines on Azure and Microsoft data platforms
- Develop ETL/ELT workflows using Azure Data Factory, Databricks, and Synapse
- Build robust and scalable data models (Star Schema, Data Vault principles)
- Design and maintain data storage layers using Azure Data Lake and Blob Storage
- Develop SQL transformations and Spark-based processing (Python / notebooks)
- Contribute to modern lakehouse architectures (including Microsoft Fabric ecosystems)
- Support BI teams in delivering curated datasets for Power BI and analytical reporting
Run side:
- Ensure monitoring, reliability, and performance of data pipelines
- Troubleshoot data processing issues (latency, quality, failures)
- Maintain and evolve existing SSIS/SSAS and SQL Server BI solutions
- Enforce data governance, security, and compliance standards
- Support CI/CD practices for data workflows in cloud environments
- Monitor and optimize performance and cost of cloud data services
- Document data flows, architectures, and technical solutions
Requirements
Do you have experience in T-SQL?, Are you passionate about data engineering, cloud platforms, and Microsoft data ecosystems? Then this position is for you., You have at least 5 years of experience in data engineering or data platform environments. You enjoy designing scalable data architectures and solving complex data integration challenges and are constantly innovating. You are looking for an environment where your ideas matter and where technology goes hand in hand with collaboration.
This is your career path.
You have at least 5 years of experience in data engineering, BI engineering, or cloud data platforms. You enjoy working in hybrid environments combining legacy BI and modern cloud architectures and are constantly innovating. You are looking for an environment where your ideas matter and where technology goes hand in hand with collaboration.
This is your expertise:
- Azure Data Platform: Data Factory, Synapse, Data Lake, Blob Storage
- Microsoft Fabric (data engineering & analytics)
- Databricks (Spark, Python, notebook development)
- SQL Server (advanced T-SQL querying and optimization)
- Microsoft BI stack: SSIS, SSAS, Power BI
- Data modeling: Star Schema, Data Vault principles
- Programming: Python, SQL, Shell scripting
- Nice to have: Delta Lake, SSRS
- Dutch + English (mandatory) / French (nice to have)
This is how you work as part of a team:
- Strong analytical mindset with ability to translate business needs into data solutions
- Excellent collaboration with data engineers, analysts, and business stakeholders
- Structured and rigorous approach to data design and documentation
- Proactive problem-solving in complex distributed environments
- Ability to work in agile and evolving technical ecosystems
- Strong communication skills (English required, Dutch highly valued, French a plus)
- Ownership mindset with focus on data quality and reliability
About the company
Every moment counts. Especially those you live to the fullest. Welcome to Consort Group.
For over 30 years, Consort Group has been helping companies leverage their data and infrastructure. It is backed by two leaders, Consortis and Consortia, and places people and social responsibility at the heart of its values.
This is your future team
Committed to the success of its clients, the Consort Belgium team embodies the values and shares the expertise of Consort Group in Brussels, the surrounding area, and throughout Belgium. With 45 employees, it has been offering a range of infrastructure and application solutions since 2016, delivered by local teams and supported, when necessary, by the group’s skills and resources., At Consort Group, you are an expert who we support so that every assignment becomes a step that counts.
- Attentive and human onboarding
- A truly hands-on management style
- Continuous training opportunities
- Concrete commitments: inclusion, equality, solidarity
- A comprehensive HR package: health insurance, TR card, CSE, pension plan
- A culture of feedback and meaningful projects
It’s clear
The recruitment process:
- An initial phone call with our recruitment team
- An HR interview and a job interview with a business engineer
- A test or technical interview with one of our experts
- A final meeting with your future manager or project manager
And if we’re a good fit, we’ll get started together
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