Data Engineering Manager

Harnham; Amsterdam; On-site; EUR 110,000 - 160,000; Full time

Job summary

Harnham is seeking an Analytics Engineering Manager to build and scale a data platform that underpins critical product and business decisions. You will lead a team and shape a modern data environment focused on reliability, performance and trust in data.

You will own end-to-end data platform, partner with analytics, product and leadership; drive automation and cost efficiency; promote CI/CD and data contracts.

Qualifications

• Experience leading analytics/engineering teams in complex data environments.
• Expertise in data warehousing, modelling and large-scale processing.
• Proficient with ELT/ETL pipelines and orchestration (Airflow, dbt).
• Experience with Snowflake, Databricks or GCP cloud platforms.
• Strong data quality, observability and monitoring knowledge.
• Ability to communicate with senior stakeholders and balance leadership with hands-on work.

Responsibilities

• 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

Skills

Data leadership

Data modelling

Data quality

Communication

Strategy alignment

Mentoring

Tools

Airflow

dbt

Snowflake

Databricks

GCP

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