> Markdown version of [/jobs/ext/4677178-data-engineer](https://www.wearedevelopers.com/jobs/ext/4677178-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Datashift - **Location:** Belgium - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), PHP (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Computer Programming, Extract Transform Load (ETL), Data Systems, Linux, Python (Programming Language), Ansible, Standard Sql - **Published:** November 12, 2026 - **Apply:** https://careers.datashift.eu/o/data-engineer-2 ## About the Role Do you have at least 3 to 6 years of experience? Do you love to work on projects and look at them from an end-to-end data perspective. Then we are delighted to receive your personal application and we'll contact you for an interview and a (virtual) cup of coffee., * Programming expertise with Python; * You feel energized when writing and observing well-structured code; * Strong background in development, with knowledge in languages such as Java and/or PHP; * API Integration skills; * Experience with pipeline automation (i.e. Airflow) * Deep knowledge of SQL; * Experience with AWS/GCP/Azure/Ansible/Terrafom * Experience with Linux is a plus; * Fluent in Dutch and/or French and English. ## Description Datashift is a fast-growing consultancy team with a focus on delivering solutions that answer business questions with data and facts. For one of our fastest growing practices, we are looking for a skilled Data Engineer., * Translate client needs into maintainable data solution (ETL/Infrastructure as a code/Interfaces/pipelines, ...); * Design data solutions, making the trade-off between cost and maintainability; * Work together with Data Scientists, BI specialists and Business Consultants to deliver value to our customers; * Stay up to date with the latest developments in data technology and actively participate in sharing your knowledge with your colleagues; * Monitor the quality and stability of data solutions; * Coach other Data Engineers.