Lead Data Platform & Analytics Engineering

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

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.