Senior Data Engineer
Data engineer at Connect Group (Belgium) designing, building and maintaining secure, scalable data pipelines and storage on Azure (Data Factory, Azure SQL, Databricks, Microsoft Fabric) for batch and real-time processing, plus data models and Power BI reports that support analytics, reporting and AI across the business.
- Compensation
- Not disclosed
- Location
- Belgium
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Degree in Computer Science, Data Engineering, or a related area (Bachelor's or Master's)
- 3+ years (medior) of experience in data engineering
- Proficient with Azure data services: Azure Data Factory, Azure SQL, Azure Databricks, Microsoft Fabric, Azure Data Lake
- Comfortable with a programming language used in data contexts (e.g. Python, SQL, DAX)
- Fundamental understanding of data modelling and data transformation techniques
- Eager to showcase developments through DevOps practices with Azure DevOps
- Basic knowledge of Windows, Microsoft 365, end-user devices, networking and ticketing systems
Nice to have
- Experience with analytics and visualization tools like Power BI
Full description
At Connect Group, our mission is to develop a future-proof, scalable cloud data platform that complies with the best practices to data and supports our evolving global business needs. As a Data Engineer, you will focus on designing, building, and maintaining secure and efficient data pipelines and storage solutions aligned with our enterprise vision. Your high-quality, well-modelled data will drive analytics, reporting, and AI initiatives. You will have ongoing opportunities to grow your skills while making impactful contributions within the platform.
Key Responsibilities
- Develop, manage and optimize scalable data pipelines using Azure Data Factory, Azure SQL, Microsoft Fabric and Azure Databricks, supporting both batch and real-time data processing.
- Optimize data workflows for performance, reliability and cost-effectiveness.
- Build robust, high-quality data models that support analytics, AI use cases, reporting and other enterprise applications.
- Develop and refine semantic data models and reports in Power BI to enable deeper business insights.
- Collaborate with data architects, business analysts, and security and automation specialists to deliver end-to-end data solutions that meet enterprise standards and strategic objectives.
- Stay up to date with data engineering trends and apply relevant practices, tools and frameworks to keep the data platform scalable, secure and future-ready.
Requirements
- Degree in Computer Science, Data Engineering, or a related area (Bachelor’s or Master’s).
- Medior (3+ years) experience in data engineering.
- Proficient with Azure data services including Azure Data Factory, Azure SQL, Azure Databricks, Microsoft Fabric, and Azure Data Lake.
- Comfortable with a programming language used in data contexts (e.g. Python, SQL, DAX).
- Fundamental understanding of data modelling and data transformation techniques.
- Eager to showcase your developments through DevOps practices with Azure DevOps.
- Experience with analytics and visualization tools like Power BI is a plus.
- You have basic knowledge of Windows, Microsoft 365, end-user devices, networking and ticketing systems.
What We Offer
- An accessible entry-level role in an international production environment where your support has an immediate impact.
- Practical guidance and access to relevant training courses and certifications.
- Growth opportunities.
- A collegial, hands-on working environment with room to learn and take ownership.
- A competitive salary and benefits package in line with your experience.