Analytics Engineering Manager
Location: Amsterdam, Netherlands (Hybrid)
Salary: 100-115k
This is an opportunity to lead the data foundation of a large-scale digital business where data sits at the heart of every product, analytics, and commercial decision. You will combine people leadership, technical ownership, and strategic influence while shaping a modern analytics engineering function operating at significant scale.
The Company
They are a well-established digital organisation with a strong data-driven culture and a substantial investment in data and analytics. Their teams rely on trusted, high-quality data to support decision-making across product, commercial, and leadership functions. The business is continuing to evolve its data platform, creating an opportunity for an experienced Analytics Engineering Manager to have a visible and lasting impact. You will work closely with senior stakeholders while helping to define the future direction of their data ecosystem.
The Role
You will be responsible for leading the analytics engineering capability and ensuring the data platform remains scalable, reliable, and trusted across the organisation.
Responsibilities include:
- Leading, coaching, and developing a team of Analytics Engineers and Data Engineers
- Owning data ingestion pipelines, transformation workflows, and data warehouse orchestration
- Designing and maintaining scalable data models that support analytics and business reporting
- Establishing and governing a semantic layer to ensure consistent metric definitions
- Driving automation across analytics engineering processes to improve efficiency and scalability
- Setting engineering best practices including CI/CD, code reviews, testing, and version control
- Improving platform performance, reliability, observability, and data quality standards
- Managing warehouse optimisation initiatives and controlling data platform costs
- Partnering with analytics, engineering, and business teams to align data capabilities with business needs
- Communicating platform strategy, priorities, risks, and investment requirements to senior stakeholders
Your Skills & Experience
- Strong leadership experience managing Analytics Engineering or Data Engineering teams
- Deep expertise in modern cloud-based data platforms and large-scale data warehousing environments
- Strong knowledge of ELT/ETL architecture, data modelling, and orchestration frameworks such as Airflow, dbt, or similar technologies
- Experience building reliable, observable, and well-governed data platforms
- Strong understanding of data quality, monitoring, testing, lineage, and data contracts
- Experience optimising data platform performance and managing cloud data costs
- Software engineering best practices including Git-based workflows, CI/CD, and automated testing
- Ability to balance technical leadership, delivery ownership, and people management
- Strong stakeholder management skills with the ability to communicate technical concepts to non-technical audiences
- Exposure to AI-assisted engineering workflows, automation, or productivity-enhancing tooling is advantageous
- Experience with streaming or near real-time data environments would be beneficial
What They Offer
- Opportunity to lead a strategically important data engineering function
- High levels of ownership and influence over platform direction and standards
- Exposure to complex, large-scale data challenges
- A collaborative and data-focused environment with strong executive sponsorship
- Clear opportunities for professional growth and leadership development
How to Apply
If you are an experienced Analytics Engineering Manager looking to shape the future of a modern data platform, apply now to learn more about this opportunity.
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