Analytics Engineering Manager

Harnham; Amsterdam; On-site; EUR 150,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Leadership role

Career development

Collaborative environment

Job summary

Harnham is seeking an Analytics Engineering Manager in Amsterdam to own and scale a company-wide data platform powering critical product and business decisions. You will lead a team, drive reliability and performance, and partner with senior leadership to shape data strategy.

The role emphasizes ownership of ETL/ELT pipelines, data modelling, semantic definitions, and cost-aware cloud platform management to deliver trusted data at scale.

Qualifications

• Experience leading data or analytics engineering teams in complex environments.
• Deep expertise in data warehousing, data modelling and large-scale processing.
• Proven experience with ELT/ETL pipelines and orchestration tools.
• Experience with modern cloud data platforms (Snowflake, Databricks, GCP).
• Strong focus on data quality, observability and monitoring.
• Ability to drive cost optimisation in cloud data environments.
• Effective communicator to translate complex concepts to senior stakeholders.
• Track record of balancing leadership, delivery and hands-on contribution.

Responsibilities

• Own the end-to-end data platform including ingestion pipelines, modelling and warehouse orchestration.
• Lead and develop a team of analytics and data engineers, setting standards and growth.
• Drive automation across data workflows to improve scalability and efficiency.
• Ensure high data quality through monitoring, testing and robust data contracts.
• Design and govern a semantic layer for consistent metric definitions.
• Optimize warehouse performance and manage cost efficiency at scale.
• Establish engineering best practices including CI/CD, version control and code quality.

Skills

Data engineering leadership

Data warehousing

ETL/ELT orchestration

Airflow

dbt

Snowflake

Databricks

Cloud platforms

Stakeholder communication

Cost optimisation

Tools

Airflow

dbt

Snowflake

Databricks

GCP/Azure

Job description

This is a high-impact Analytics Engineering Manager role focused on building and scaling a data platform that underpins critical product and business decisions. You will lead a team while shaping a modern data environment operating at significant scale, with a strong emphasis on reliability, performance and trust in data.

The Company

They are a large-scale digital business with a strong data-driven culture at the core of decision making. Operating a complex data ecosystem with high volumes of daily data processing, they invest heavily in building a robust and scalable data foundation. Data is treated as a product, with clear ownership, high engineering standards and a focus on long-term platform evolution. The organisation fosters close collaboration between engineering, analytics and senior leadership to ensure data is a trusted asset across the business.

The Role

• Own the end-to-end data platform, including ingestion pipelines, data modelling and warehouse orchestration
• Lead and develop a team of analytics and data engineers, setting standards and supporting growth
• Drive automation across data workflows to improve scalability and efficiency
• Ensure high data quality through monitoring, testing and robust data contracts
• Design and govern a semantic layer to ensure consistent metric definitions
• Optimise warehouse performance and manage cost efficiency at scale
• Establish engineering best practices including CI/CD, version control and code quality standards
• Partner with stakeholders across analytics, product and leadership to align on data strategy and delivery

Your Skills & Experience

• Strong experience leading data or analytics engineering teams in a complex environment
• Deep expertise in data warehousing, data modelling and large-scale data processing
• Proven experience with ELT and ETL pipelines and orchestration tools such as Airflow and dbt
• Experience working with modern cloud data platforms such as Snowflake, Databricks or GCP
• Strong understanding of data quality, observability and monitoring practices
• Experience driving cost optimisation within cloud data environments
• Confident communicator, able to translate technical concepts to senior stakeholders
• Track record of balancing leadership, delivery and hands‑on technical contribution

What They Offer

• Competitive salary aligned with senior leadership scope
• Opportunity to lead a high‑performing data engineering function
• Strong focus on career development and leadership growth
• Collaborative and data‑driven working environment

How to Apply

If you are interested in this Analytics Engineering Manager opportunity, please apply with your CV to start a confidential conversation.