About Exsolvæ :
Exsolvæ is a Brussels-based consultancy firm specialized in Data, Analytics, and Artificial Intelligence. We support organizations through advisory services, technical audits, and end-to-end solution delivery, helping them modernize and scale their data capabilities.
Our consultants, known as Solvers, combine technical excellence with a strong learning mindset. We invest heavily in innovation, collaboration, and knowledge sharing to ensure we consistently deliver meaningful and sustainable impact for our clients.
We are currently looking for an experienced Data Engineering Consultant with a strong background in Azure Databricks to contribute to a large-scale data platform program in Belgium.
About the role :
In this role, you will play a key part in designing and building Azure-based data platforms that support advanced analytics and operational use cases. Working closely with architects, analysts, and business stakeholders, you will transform raw data into reliable, high-value datasets.
You will take ownership of data pipelines and processing frameworks, applying best practices in cloud engineering, automation, and data quality to ensure scalable and resilient solutions.
Required Skills and Qualifications :
- Education: Master's degree in computer science, Engineering, or a related field
- Languages: Fluent in ( French or Dutch ) and English (spoken and written)
- Experience: Minimum 4 years of hands-on experience in data engineering roles
- Azure Platform: Strong experience with Microsoft Azure, including Azure Data Lake, Azure Data Factory, and Azure Synapse or similar services
- Azure Databricks: Extensive hands-on experience developing data pipelines and analytics workloads in Databricks
- Spark / PySpark: Proven expertise in distributed data processing using Spark
- SQL: Advanced SQL skills, including performance tuning and working with large-scale datasets
- Data Reliability: Experience implementing data validation, monitoring, and quality controls
- Soft Skills: Strong communication skills and the ability to work effectively in client-facing, cross-functional teams
Preferred Skills :
- Experience with Power BI or similar reporting tools
- Familiarity with CI/CD pipelines and DevOps practices for data platforms
- Experience with streaming or event-driven architectures (e.g., Event Hubs, Kafka)
- Experience in multi-cloud environments
- Microsoft Azure or Databricks certifications
What You’ll Do :
Solution Design & Delivery
- Translate business requirements into scalable Azure data
- Build, test, and maintain ETL/ELT pipelines using Azure Databricks and Spark
- Ensure data pipelines are reliable, secure, and optimized for performance
Platform & Data Engineering
- Design analytical data models supporting reporting and advanced analytics
- Integrate structured and semi-structured data from multiple sources
- Apply best practices for data governance, monitoring, and cost control
Innovation & Improvement
- Continuously evaluate new Azure and Databricks features to improve platform efficiency
- Contribute to internal best practices and technical standards within Exsolvæ
Team & Project Collaboration
- Work alongside data scientists, engineers, and architects to deliver end-to-end solutions
- Support project delivery from initial design through production rollout
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.
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