Data Engineer

# Data Engineer ## About the Role Team EIFFEL is seeking a **Data Engineer / Platform Engineer** to build and improve data solutions for a diverse range of organizations, from corporate clients to government institutions. You will work on varied projects, collecting and integrating data from multiple sources, designing data architectures and platforms, and ensuring reliable, high-quality datasets. As part of **Team Analytics**, you will help organizations across the Netherlands advance their data-driven way of working. The role offers opportunities to deepen or broaden your expertise while working with modern data engineering technologies, data platforms, AI development, data integration, and cloud-oriented development practices. ## Key Responsibilities - Collect, integrate, and manage data from multiple sources, including databases and APIs. - Design and build data architectures and data platforms according to **Medallion Architecture**. - Ensure data quality and maintain reliable datasets. - Migrate and optimize data for new environments and platforms. - Work on different data engineering and platform engineering challenges across multiple client assignments. - Develop and maintain ETL/ELT processes. - Work with data integration tools and technologies such as **Data Factory, dbt, Airflow, and Postman**. - Contribute to AI development and data integration activities. - Implement and work with **CI/CD** processes and Git-based version control. - Apply relevant guidelines to ensure data is structured and integrated appropriately. - Translate complex data into useful insights and communicate effectively between technical and business stakeholders. - Share knowledge and contribute to the development of future-ready data platforms. - Participate in knowledge-sharing activities with Team Analytics and Team EIFFEL. ## Required Qualifications - HBO or WO degree in **Computer Science, Data Science, (Technical) Business Administration, Mathematics, or a comparable field**. - Minimum **3 years of experience as a Data Engineer or Platform Engineer**. does not explicitly identify additional qualifications as preferred. The listed technical skills and experience are therefore retained as requirements where - Experience with ETL/ELT tools such as **Data Factory, dbt, Airflow, and Postman**. - Experience with **AI development and data integrations**. - Experience with **CI/CD** and version control using **Git**. - Knowledge of relevant guidelines and how data should align with them. - **Dutch language proficiency at minimum C1 level**, both written and spoken. - **Valid driver's license B**. ## Preferred Qualifications The source job description does not explicitly identify additional qualifications as preferred. The listed technical skills and experience are therefore retained as requirements where explicitly stated. ## Skills & Competencies - Data engineering. - Platform engineering. - Data architecture. - Data platform development. - Medallion Architecture. - Data integration. - ETL and ELT processes. - Data quality management. - Data migration and optimization. - SQL. - RESTful API development. - Data Factory. - dbt. - Airflow. - Postman. - AI development. - CI/CD. - Git and version control. - Business intelligence tools. - Data-driven working. - Translating complex data into useful insights. - Communication between technical and business stakeholders. - Knowledge sharing and collaboration. ## Education & Experience **Education** - HBO or WO degree in Computer Science, Data Science, (Technical) Business Administration, Mathematics, or a comparable field. **Experience** - Minimum **3 years of experience as a Data Engineer or Platform Engineer**. - Experience with ETL/ELT tools including Data Factory, dbt, Airflow, and Postman. - Experience with AI development and data integrations. - Experience with CI/CD and Git-based version control. ## Work Arrangement & Schedule - **Work arrangement:** The job listing identifies the position as onsite in Utrecht; the source description also describes working with clients and a collaborative setup. - **Primary location:** Utrecht, Utrecht, Netherlands. - **Client assignments:** Work takes place across different organizations and projects. - **Employment type:** Not explicitly specified in the source job description. - **Hours:** Compensation is based on a **40-hour workweek**. - **Friday collaboration:** Fridays are normally spent together at the Team EIFFEL clubhouse in Arnhem for knowledge sharing, collaboration, and team connection. If a client expects you onsite that day, the client assignment takes priority. - **Weekend requirements:** Not specified. ## Compensation & Benefits - **Salary:** €3,500–€5,500 gross per month based on a 40-hour workweek, depending on experience and expertise. - Home-office setup allowance. - Pension with no employee premium contribution. - Various bonuses. - 25 vacation days. - Lease bicycle, including electric bicycle options. - Lease car, including electric car options. - Mobility budget. - Knowledge sessions and webinars. - Unlimited development opportunities through the **Team EIFFEL Academy**. - Opportunities to learn from Olympic elite athletes about achieving and000 experts across interim, consultancy, and project management. Team Analytics is a growing community of data professionals working with organizations throughout the Netherlands to advance data-driven working sustaining high performance. ## Compliance / Additional Information Team EIFFEL is part of EIFFEL, a consultancy and interim organization with more than 3,000 experts across interim, consultancy, and project management. Team Analytics is a growing community of data professionals working with organizations throughout the Netherlands to advance data-driven working practices. The role involves assignments for diverse clients, including banks, municipalities, hospitals, multinationals, and startups.