Senior Data Engineer

Connect Group; Boezinge; Sur place; EUR 55 000 - 85 000; Plein temps

Avantages offerts par ce poste

Training courses

Certifications

Growth opportunities

Hands-on environment

Competitive salary

Résumé du poste

Connect Group is seeking a Data Engineer in Belgium to design, build and maintain scalable data pipelines and storage solutions aligned with our enterprise vision. Your high-quality data will drive analytics, reporting and AI initiatives across the organization.

You will use Azure Data Factory, Azure Databricks and Power BI to deliver end-to-end data solutions, collaborating with data architects, analysts and security specialists in a hands-on, growth-focused environment.

Qualifications

• 3+ years of data engineering experience.
• Proficient with Azure data services including ADF, SQL, Databricks, Fabric and Data Lake.
• Programming in Python or SQL; knowledge of data modelling concepts.

Responsabilités

• Develop and optimize scalable data pipelines across batch and real-time processing.
• Build robust data models to support analytics and AI use cases.
• Refine semantic data models and Power BI reports for insights.
• Collaborate with data architects, analysts and security teams to deliver end-to-end solutions.
• Stay updated on data engineering trends and apply best practices.

Connaissances

Python

SQL

DAX

Data modeling

DevOps practices

Power BI

Formation

Bachelor's or Master's in CS/Data Eng

Outils

Azure Data Factory

Azure SQL

Azure Databricks

Microsoft Fabric

Azure Data Lake

Azure DevOps

Description du poste

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.