Data Engineer

The role
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.

What you will do

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

Your background

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

Personal qualities

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

What’s on offer

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