Datawarehouse Engineer

To fulfill our mission ‘For mobility, for everyone’, we expect a lot from our employees, but of course, you can also expect something from us. In addition to a varied and responsible position, we offer a pleasant working environment where your development is a priority. Furthermore, you can count on:

• An attractive salary, matching your work experience;

• 24 vacation days per year;

• 8% holiday allowance;

• Pension scheme;

• Other extras, such as staff discounts and collective discounts on your health insurance;

• Of course, you will receive a laptop and phone from us;

• Access to the company gym;

• Possibility for personal growth via our Van Mossel Academy.

Become enthusiastic and do you recognize yourself in this profile? Then we cordially invite you to respond! Send your CV and motivation via our website!

Are you a Data Engineer who gets energy from building a solid data foundation? Do you want to play a key role in the development of our Data Warehouse and ensure that reliable data becomes available for reporting and management information? Then we are looking for you.

As a Data Engineer, you are responsible for designing, developing, and managing our Data Warehouse. You ensure that data from various source systems is collected, processed, and made available. Thanks to your work, colleagues can rely on up-to-date, high-quality, and well-structured data for analyses, dashboards, and reports.

You work closely with Business Intelligence Specialists, Product Owner, other Data Engineers, and business stakeholders to translate data needs into scalable and future-proof solutions.

• Building and further developing the central Data Warehouse;

• Realizing and managing connections with various source and application systems;

• Developing ETL and ELT processes for collecting, transforming, and loading data;

• Monitoring and improving data quality, data consistency, and performance;

• Modeling data;

• Setting up monitoring, logging, and error handling within data pipelines;

• Identifying and implementing improvements within the data architecture;

• Documenting data flows, technical designs, and processes.