Data Engineer

For a client operating at the intersection of data, CRM and AI-driven insights, we are looking for an experienced Data Engineer to help design and build modern, scalable data platforms in the cloud. In this role, you will play a key part in turning complex data into reliable, high-quality datasets that support analytics, automation and machine-learning use cases. You will work on challenging data engineering problems, collaborate with multidisciplinary teams, and contribute to solutions that directly support data-driven decision-making.

• Design, build and maintain robust data pipelines and cloud-based data platforms
• Develop AI-ready data architectures that support analytics and machine-learning workloads
• Integrate data from multiple sources and ensure data quality, performance and security
• Implement and optimize solutions using modern Azure data services
• Collaborate closely with data scientists, analysts, developers and business stakeholders
• Translate business and user requirements into scalable technical solutions
• Contribute to continuous improvement, knowledge sharing and best practices within the team

HBO / WO degree in Computer Science, Data Science, AI or a related field

5+ years of experience in data engineering, BI, or data platform development

Strong programming skills in Python and SQL

Hands-on experience with the Azure data stack, for example:

• Azure Data Factory
• Azure Data Lake
• Azure Databricks
• Azure Synapse or similar

Solid understanding of data modelling, ETL/ELT processes and scalable data architectures

Experience with CI/CD, version control and automated deployments for data solutions

Familiarity with Airflow or similar orchestration tools

Experience with machine-learning integration or AI use cases is a strong plus

• Strong analytical and problem-solving skills
• Able to communicate complex technical ideas clearly to both technical and non-technical stakeholders
• Proactive, structured and quality-focused
• Comfortable working in collaborative, agile environments
• Curious about new technologies and continuously improving your skill set

• Work on modern cloud and AI-driven data platforms
• High level of ownership and impact in client-facing projects
• A collaborative environment that values knowledge sharing and technical excellence
• Competitive compensation aligned with experience and expertise
• Hybrid working setup, with flexibility depending on project needs