Data Engineer

The company you’ll be joining is a fast-growing B2B product and technology organisation based in Mechelen, building data-driven solutions that help businesses operate more efficiently and make better decisions.

Apply (by clicking the relevant button) after checking through all the related job information below.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines powering B2B products, analytics, and operational processes.
• Build and optimise cloud-based data lakes, data warehouses, and modern data platforms.
• Integrate data from APIs, databases, SaaS platforms, IoT devices, and other enterprise systems.
• Develop robust data models and transformation layers that support product analytics, reporting, forecasting, and business intelligence.
• Ensure high standards of data quality, reliability, monitoring, governance, and orchestration across the data platform.

Your Profile

• 2–5 years of experience as a Data Engineer or in a similar data-focused engineering role.
• Strong hands-on experience with Python and SQL.
• Proven experience building and maintaining production-grade ETL/ELT pipelines.
• Experience with modern data technologies such as Databricks, Snowflake, dbt, Airflow, Microsoft Fabric, or similar.
• Practical experience with Azure, AWS, or GCP.
• Good understanding of Apache Spark and modern data platform architectures.
• Experience with Docker, Git, CI/CD, and ideally Kubernetes.
• Comfortable working in a product-led, agile environment and collaborating with software engineers, product teams, and business stakeholders.
• Experience with B2B products, SaaS, IoT, industrial, energy, or time-series data is a plus.
• Strong communication skills and a collaborative, pragmatic mindset.
• Fluent in English.

What's on Offer

• Salary of up to €6,000 gross per month, depending on experience.
• Company car or mobility budget.
• Hybrid working model with a modern office environment in Mechelen.
• Meal vouchers, group insurance, and hospitalisation insurance.
• Ongoing technical training and certification opportunities.
• Clear career progression towards Senior Data Engineer, Data Architect, or Tech Lead.
• Opportunity to work with modern technologies including Databricks, Snowflake, Microsoft Fabric, Azure, AWS, GCP, dbt, Airflow, and Spark.
• A chance to have a direct impact on the development of a growing B2B technology product and data platform. xlxgzvr
• An opportunity to work in a collaborative, technically ambitious environment where data is central to the product and business strategy.

Apply today or send your CV and a short cover letter to