Position: Lead Data Engineer – Azure
Location: Amsterdam
Employment Type: Full-time
About Them
This organisation are a forward-thinking organisation harnessing data to drive smarter decisions, deliver innovation, and create real business impact. Our Azure-based data platform underpins everything we do—from analytics and AI to operational insights. Now, we’re looking for a Lead Data Engineer to take our data capabilities to the next level.
Within the role you will be working hands on whilst also taking on responsibility of the team and data engineering roadmap
The Role
As the Lead Data Engineer, you’ll be the technical authority for our Azure data ecosystem. You’ll design, build, and optimise data pipelines, lead architectural decisions, and mentor a talented team of engineers. You’ll work closely with data scientists, analysts, and business stakeholders to ensure our data solutions are robust, scalable, and future-ready.
Key Responsibilities
- Lead the design, development, and maintenance of scalable Azure-based data pipelines and architectures.
- Own technical standards, best practices, and quality across data engineering projects.
- Collaborate with architecture and DevOps teams to ensure smooth integration and deployment.
- Mentor, guide, and grow the skills of junior and mid-level data engineers.
- Optimise performance, security, and cost-effectiveness of Azure data services.
- Drive the adoption of modern data engineering practices, including CI/CD for data and Infrastructure as Code.
Core Technologies & Skills
- Azure Data Services: Data Factory, Synapse Analytics, Databricks, Data Lake Storage, Azure SQL Database.
- Strong SQL and Python skills; experience with PySpark a plus.
- Proven track record in designing ETL/ELT processes and real-time streaming pipelines.
- Solid understanding of data modelling, governance, and security principles.
- Familiarity with Azure DevOps, Git, and Infrastructure as Code (e.g., Bicep, Terraform).
- Experience leading engineering teams or projects in a data-focused environment.
Nice-to-Have
- Knowledge of Azure Machine Learning or AI integration.
- Experience with event-driven architectures (Event Hubs, Service Bus, Kafka).
- Exposure to data quality frameworks and monitoring tools.
What They Offer
- Competitive salary and performance-based bonus.
- Flexible working arrangements.
- Dedicated learning and development budget.
- Opportunity to shape the future of our data platform and lead strategic initiatives.
- Collaborative culture with a focus on innovation and continuous improvement.