Analytics Engineering Manager
Role description
Amsterdam, Netherlands. Competitive salary plus benefits.
This is a high-impact Analytics Engineer Manager role where you will shape the data foundation that underpins critical business decisions at scale. You will lead a team of analytics and data engineers while owning a modern data platform, ensuring reliability, scalability and trust across a high-volume environment. This opportunity offers a strong blend of leadership, technical ownership and strategic influence.
The Company
They are a data-driven organisation operating at significant scale, with a highly developed data ecosystem supporting product, analytics and commercial teams. Their environment processes large volumes of data daily, making data quality, performance and efficiency central to success. They treat their data platform as a product, with clear standards, governance and long-term roadmap. Collaboration across engineering, analytics and business teams is embedded in how they operate.
The Role
- Lead, coach and develop a team of analytics and data engineers, setting clear standards and fostering growth
- Own end-to-end data platform delivery including ingestion pipelines, data modelling and warehouse orchestration
- Design scalable, well-structured data models aligned to business concepts and usage
- Establish and govern a robust semantic layer to ensure consistency in metrics and definitions
- Drive engineering best practices including CI/CD, version control, testing and code quality
- Ensure data reliability through monitoring, alerting, incident management and proactive improvements
- Optimise platform cost and performance, including workload attribution and query efficiency
- Partner with stakeholders across analytics, product and leadership to translate requirements into technical solutions
- Communicate platform strategy, risks and trade-offs clearly to senior stakeholders
Your Skills & Experience
- Strong experience leading data or analytics engineering teams in a hands-on environment
- Deep expertise in data warehousing, data modelling and large-scale data platforms
- Proven capability in ELT or ETL design, pipeline orchestration and tooling such as Airflow or dbt
- Experience working with modern cloud platforms such as Snowflake, Databricks or GCP
- Strong understanding of data quality, observability, testing and data contracts
- Experience implementing CI/CD and software engineering best practices within data teams
- Ability to balance leadership responsibilities with technical depth and delivery ownership
- Confident communicator, able to engage both technical and non-technical stakeholders
What They Offer
- Competitive salary and performance-related benefits
- Opportunity to lead and scale a high-performing data engineering function
- A collaborative environment with strong senior stakeholder engagement
- Clear progression opportunities within a growing data organisation
