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# Data and Analytics Engineering Manager

- **Company:** Harnham Bekijk Alle Vacatures
- **Location:** Amsterdam, Netherlands
- **Salary:** €8,333.0 - €10,167.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Automation of Tests, Code Review, Continuous Delivery, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Performance Tuning, Software Construction, Snowflake, Kubernetes, Infrastructure Automation Frameworks, Data Management, Software Version Control, Data Pipelines, Databricks
- **Published:** July 25, 2026
- **Apply:** https://www.careerjet.nl/job/nlbf50c2d11dd05b7e3d2ccc016be707a4/eaa

## About the Role

* Strong commercial experience leading Analytics Engineering or Data Engineering teams
 * Deep expertise in modern cloud data platforms such as Snowflake, Databricks, or GCP-based ecosystems
 * Advanced knowledge of data modelling, data warehousing, ELT/ETL design, and pipeline orchestration
 * Experience with tools such as dbt, Airflow, or comparable data transformation and orchestration platforms
 * Strong understanding of data quality, testing, monitoring, and observability frameworks
 * Experience implementing CI/CD, automated testing, and software engineering best practices for data teams
 * Ability to balance people leadership, technical direction, and delivery management
 * Strong stakeholder management and communication skills, including engagement with senior leadership
 * Experience managing platform costs, performance optimisation, and scalability initiatives
 * Exposure to AI-assisted engineering workflows or data platform automation is advantageous

## Description

This is a high-impact Analytics Engineering Manager opportunity for a leader who enjoys combining people management, technical ownership, and strategic delivery. You will shape the data foundation that supports business-critical decision making, working at scale while driving engineering excellence, reliability, and innovation across a modern data platform., * Lead, coach, and develop a team of Analytics Engineers and Data Engineers

 * Own data ingestion pipelines, data modelling, warehouse orchestration, and platform automation
 * Drive the adoption of engineering best practices including CI/CD, code review, testing, and version control
 * Build and maintain reliable, scalable, and high-performing data platforms and pipelines
 * Establish strong data quality, monitoring, observability, and incident management processes
 * Define and govern a trusted semantic layer to ensure consistency of business metrics
 * Optimise platform performance and cloud data warehouse costs
 * Partner with analytics, product, engineering, and business stakeholders to deliver scalable data solutions
 * Communicate platform strategy, roadmap, risks, and investment priorities to senior leadership
 * Identify opportunities to leverage AI and automation to improve engineering productivity and delivery


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