Job Specifications
About us
At Brussels Airlines, we are passionate about connecting people, economies, and cultures. As Belgium’s home carrier and one of the four network airlines of the Lufthansa Group, we fly from the heart of Europe to over 90 destinations worldwide, including 18 across Sub-Saharan Africa.
As proud ambassadors of Belgium, we bring the world to Belgium and the best of Belgium to the world: from collaborations with Michelin-starred Belgian chefs to our Belgian Icon aircraft adorned with national legends, we celebrate creativity and the amazing things our country has to offer.
Our company culture is warm and inclusive. By focusing on wellbeing & flexibility, we create an empowering environment that gives our more than 3500 people wings. Ranked number 4 in 2025 in Randstad’s Employer Brand charts, we are driven by passion, ownership, team spirit, excellence and respect: values that make the difference every day for our company, for our guests and for each other.
Who are we looking for?
We are looking for a Data Engineer to join our team, which is company-wide responsible to provide end-to-end data solutions. In this role, you will take the lead in shaping and driving Data Engineering within the team, setting standards, guiding best practices, and acting as the go-to expert for data architecture and pipeline design. You will cooperate intensively with Business Intelligence Analysts and business stakeholders from all areas (Commercial to Operations). The ability to think along with different stakeholders and being solution-oriented, are key assets within this role. Together with the team, you will aim to increase the level of Data Analytics across the different company areas to achieve a high impact on decision-making, and therefore play a vital role in the future success of the company.
Key Responsibilities:
Lead projects: Lead end-to-end data engineering projects, including planning, coordination and execution, to ensure the timely delivery of data solutions.
Build Data Pipelines: Design, develop, and maintain scalable data pipelines that ingest, transform, and store large volumes of data using DataBricks, DBT, Git, and Azure DevOps.
Develop Data Models: Collaborate with business stakeholders to understand their requirements and develop data models that fit within the overall data architecture, ensuring that they effectively support business reporting, analysis, and decision-making processes.
Integrate Data: Perform data integration from a variety of sources (cloud platforms, databases, APIs, etc.).
Maintain and Improve Data Architecture: Take responsibility for the continuous maintenance and optimization of the data architecture. Identify opportunities to improve performance, data quality, and efficiency within the architecture.
Documentation and Governance: Maintain thorough documentation of data pipelines, models, ingestion processes, and architectural design. Apply strong data governance practices, implementing frameworks to ensure high data quality, security, and compliance.
Improvement and Innovation: Proactively evaluate current processes, identifying opportunities for improvement. Continuously evaluate and introduce new technologies and tools to enhance the data engineering processes.
Incident Management: Troubleshoot and resolve data-related issues across the pipelines and workflows, ensuring minimal disruption to business users.
Where do you land?
Within our Finance, Controlling & BI department, the Business Intelligence team ensures that the company’s data is collected, transformed, and governed in a consistent, reliable, and scalable way. We provide a unified and trusted view of enterprise data, enabling transparent insights that support informed decision-making across all departments.
As part of this team, we empower business units to own their last-mile analytics while partnering closely to co-develop complex, high-impact data solutions. We continuously improve and modernize our data landscape, leveraging advanced technologies to turn data into actionable insights and measurable business impact.
Your profile
At Brussels Airlines, we believe in making people grow. Therefore, we are not looking for white ravens: we are looking for people that match with our company’s goals and culture, and that can elevate us to even higher heights.
A degree in Computer Science, Engineering, Information Systems, or equivalent through experience in a data engineering role.
5 years of relevant data experience as a Data Engineer, Software Engineer, or similar role with a strong focus on data infrastructure.
Proficiency in DataBricks, DBT, Git, and Azure DevOps.
Strong programming skills in languages such as Python or SQL.
Deep understanding of data architecture principles, including data pipelines, data workflows, data warehouses, and analytical models.
Ability to understand business requirements and translate them into actionable data solutions.
Excellent communication skills, capable of explaini