Job Opportunities API

adesso Belgium is the Belgian entity of the adesso group, a fast‑growing IT provider with a proven track record across different industries. With more than 10,000 employees across 60 locations, adesso is expanding its presence in Europe – and Belgium is a key part of that strategy. From our base in Brussels – the capital of Europe – we are building a  Data & AI practice  that combines the agility of a start‑up with the backing of a solid international group. We are looking for  experienced freelance Data Engineers  to join our talent pool for upcoming projects with our customers in Belgium. Your role As a  Freelance Data Engineer  working with adesso Belgium, you help our clients design, build and operate  data solutions  that enable better, data‑driven decisions. Depending on the assignment and your expertise, you may be involved in: Data pipelines & integration Design, build and maintain  data ingestion and transformation pipelines  from various sources (files, APIs, databases, SaaS systems, …). Implement robust  ETL/ELT  processes using modern data engineering tools and frameworks. Ensure data is delivered in a reliable, performant and secure way. Data modeling & serving Design and implement  data models  for analytics and reporting (e.g. data warehouses, data marts, curated datasets). Prepare and expose data to BI and analytics tools and to data science / ML use cases. Apply good practices for documentation, naming conventions and reusability. Data platforms & environments Work with  modern data platforms and environments , on‑premise or in the cloud, depending on the client context. Contribute to the design and implementation of the different layers of a data platform (ingestion, storage, processing, serving). Help ensure that solutions are scalable, maintainable and aligned with the client’s architecture and standards. Quality, reliability & operations Implement  data quality checks , monitoring and logging to ensure trustworthy data. Troubleshoot and optimize pipelines and queries for  performance and cost‑efficiency . Use  version control and automation practices  to industrialize and secure deployments. Collaboration with stakeholders Work closely with  data architects, BI developers, analysts, data scientists and business stakeholders  to understand requirements and translate them into technical solutions. Communicate clearly on progress, risks and technical decisions, and contribute to a constructive team dynamic. Your profile You don’t have to tick every box, but you recognize yourself in most of the following: At least  3–5 years of experience as a Data Engineer  or in a similar role, ideally in a consulting / project‑based environment. Strong skills in  SQL  and a good understanding of data modeling for analytics (data warehouse concepts, dimensional modeling / star schema, …). Experience building  data pipelines and data solutions  with one or more modern tools / technologies (e.g. scripting or programming languages, integration tools, databases, BI or analytics platforms). Good programming skills in  Python  (or another language commonly used for data engineering). Familiarity with  version control  (Git or similar) and basic  automation / CI/CD  practices. Comfortable working directly with business and IT stakeholders, with good communication skills. Used to working as a  freelancer : autonomous, professional, able to integrate quickly into new teams and environments. Fluent in  French or Dutch , and comfortable in  English  (spoken and written). Nice to have Experience in industries such as  banking, insurance, energy, e‑commerce, public sector . Exposure to modern concepts such as  data platforms, data lakes, Lakehouse, data mesh, data products . Experience with tenders, RFPs or long‑term managed services is a plus.