Job Specifications
About Exsolvæ
Exsolvæ is a Brussels-based consultancy specializing in Data and Artificial Intelligence. We provide Consultancy, Audit, and Solution Development services to help our partners overcome unique challenges. Our holistic approach fosters collaboration across diverse domains, including Data Engineering, Advanced Analytics, and AI.
At Exsolvæ, our Solvers are passionate professionals equipped with cutting-edge tools, a culture of continuous learning, knowledge sharing, and an unwavering commitment to delivering high-impact solutions.
We are seeking a Data Engineering Specialist with strong expertise in Microsoft Technologies to join our expert team and contribute to a large-scale data engineering transformation in Belgium.
Your Role
As a Data Engineering Specialist, you will design, implement, and optimize Azure-based cloud data solutions that empower our clients to unlock the full potential of their data.
You’ll work alongside data scientists, architects, and analysts to build scalable data pipelines, lakehouse architectures, and analytics-ready environments using PySpark, Azure Databricks, and modern cloud tools.
Required Skills and Qualifications
Design and develop Azure-native data solutions leveraging Data Factory, Data Lake, Synapse, and Databricks
Build and optimize ETL/ELT pipelines using PySpark and SQL
Ensure data quality, lineage, and reliability through automated testing and monitoring frameworks
Collaborate with cross-functional teams to deliver end-to-end data products that support analytics and AI initiatives
Design and optimize data lakehouse models using Azure Synapse and Delta Lake
Integrate and process large-scale datasets across hybrid environments
Apply best practices for performance, scalability, and security in cloud architectures
Stay up to date with emerging trends in Azure, Databricks, and Microsoft Fabric
Explore new approaches for automation, governance, and efficiency in data engineering
Lead or support data engineering projects from concept to production
Partner with business and technical stakeholders to deliver measurable business value
Preferred Skills
Microsoft Fabric certification or hands-on experience with Fabric (OneLake, Data Factory, Synapse, Power BI)
Experience with Power BI or Tableau
Familiarity with streaming data frameworks (Kafka, Event Hub)
Exposure to multi-cloud environments (AWS, GCP)
What You’ll Do
Design and develop Azure-native data solutions leveraging Data Factory, Data Lake, Synapse, and Databricks
Build and optimize ETL/ELT pipelines using PySpark and SQL
Ensure data quality, lineage, and reliability through automated testing and monitoring frameworks
Collaborate with cross-functional teams to deliver end-to-end data products that support analytics and AI initiatives
Design and optimize data lakehouse models using Azure Synapse and Delta Lake
Integrate and process large-scale datasets across hybrid environments
Apply best practices for performance, scalability, and security in cloud architectures
Stay up to date with emerging trends in Azure, Databricks, and Microsoft Fabric
Explore new approaches for automation, governance, and efficiency in data engineering
Lead or support data engineering projects from concept to production
Partner with business and technical stakeholders to deliver measurable business value
Why Join Us?
Be Part of the Solver Community: Join a team where collaboration, curiosity, and problem-solving are at the heart of everything we do. You’ll work alongside experts in Data and AI, sharing knowledge, insights, and best practices through our internal Cerebro Sessions.
Continuous Growth: Benefit from a dedicated €2000 annual training budget for certifications, conferences, and professional development. You’ll also get access to exclusive training on emerging technologies and AI tools.
Cutting-Edge Tools: Through our partnership with OpenAI, you’ll have access to a secure GenAI workspace, expert-led sessions, and the most advanced tools in the market to elevate your technical excellence.
Impactful Projects: Contribute to large-scale, cloud-native data initiatives in the gaming and entertainment industry, helping our client transform their data ecosystem and deliver high-value analytics.
Hybrid & Flexible: Enjoy a balanced work model combining remote flexibility with on-site collaboration
Attractive Package: Competitive salary, performance-based bonuses, and a benefits package tailored to your mobility and lifestyle preferences.