Senior Analytics/Data Engineering Manager

Harnham; Amsterdam; On-site; EUR 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Wellbeing programmes

Leadership opportunity

Cloud technologies exposure

Career development

Job summary

Harnham Amsterdam is seeking an Analytics Engineering Manager to lead a team building a trusted, scalable data foundation. You will own ingestion pipelines, ELT/ETL, data models, and a semantic layer to support analytics and product innovation.

You will drive automation, CI/CD, data quality, and observability while managing stakeholder relationships across senior leadership. This role offers growth in a data-driven, AI-enabled environment.

Qualifications

• Experience leading Analytics Engineering, Data Engineering, or Data Platform teams.
• Deep expertise in data warehousing, modelling, and modern cloud data platforms.
• Strong ELT/ETL design knowledge with orchestration tools like dbt and Airflow.
• Proven ability to build reliable, large-scale data platforms and govern data quality.
• Experience applying software engineering practices including CI/CD, testing, and code review.

Responsibilities

• Lead, coach, and develop analytics engineering and data engineering teams.
• Own data ingestion pipelines, transformations, and data warehouse orchestration.
• Design scalable data models to support analytics and business needs.
• Drive automation to improve efficiency and reduce manual work.
• Establish CI/CD, testing, code reviews, and deployment best practices.
• Own data quality, observability, and incident management processes.
• Develop and govern a semantic layer for consistent metrics.
• Optimize platform performance, scalability, and cost efficiency.
• Manage stakeholder relationships across product, analytics, engineering, and leadership.
• Evaluate and implement modern tooling, including AI-assisted workflows.
• Define platform roadmaps and communicate priorities and risks.

Skills

People leadership

Analytics engineering

Data warehousing

Data modelling

ELT/ETL design

dbt

Airflow

CI/CD

Data quality

Observability

Stakeholder management

Communication

Cost optimisation

Tools

dbt

Airflow

CI/CD tooling

Job description

Amsterdam, Netherlands | Competitive Salary + Bonus + Benefits

This is an opportunity to lead the data platform that underpins a large-scale digital business. As Analytics Engineering Manager, you will combine people leadership, technical expertise, and delivery ownership to build a trusted, scalable data foundation that enables analytics, product innovation, and business growth.

The Company

They are a data-driven technology business operating at significant scale, with a strong focus on delivering reliable, accessible, and high-quality data across the organisation. Their data platform supports a wide range of analytics and business functions, making it a critical part of how decisions are made and products are developed. They invest heavily in modern data engineering practices, automation, and platform excellence. You will join a collaborative environment that values technical leadership, innovation, and continuous improvement.

The Role

• Lead, coach, and develop a team of Analytics Engineers and Data Engineers.
• Own data ingestion pipelines, transformation workflows, and data warehouse orchestration.
• Design and evolve scalable data models that support analytical and business needs.
• Drive automation across data processes to improve efficiency and reduce manual effort.
• Establish engineering best practices across CI/CD, testing, code review, and deployment.
• Own data quality, monitoring, observability, and incident management processes.
• Develop and govern a semantic layer to ensure consistency of business metrics.
• Optimise platform performance, scalability, and cost efficiency.
• Manage stakeholder relationships across product, analytics, engineering, and senior leadership teams.
• Evaluate and implement modern tooling, including AI-assisted engineering workflows where appropriate.
• Define platform roadmaps and communicate priorities, risks, and trade-offs to senior stakeholders.

Your Skills & Experience

• Strong commercial experience leading Analytics Engineering, Data Engineering, or Data Platform teams.
• Deep expertise in data warehousing, data modelling, and modern cloud-based data platforms.
• Strong knowledge of ELT/ETL design, orchestration frameworks, and transformation tools such as dbt and Airflow or similar technologies.
• Experience building and maintaining reliable, large-scale data platforms.
• Strong understanding of data quality, observability, testing, monitoring, and data governance practices.
• Experience implementing software engineering principles including CI/CD, version control, automated testing, and code review.
• Ability to balance strategic leadership with technical decision-making.
• Experience managing platform costs, performance optimisation, and operational efficiency.
• Excellent communication skills with the ability to engage technical and non-technical stakeholders.
• Passion for developing high-performing engineering teams and creating a strong engineering culture.

What They Offer

• Competitive salary package.
• Comprehensive wellbeing and employee support programmes.
• Opportunity to lead a business-critical data platform operating at significant scale.
• Exposure to modern cloud technologies, advanced data engineering practices, and AI-enabled workflows.
• Strong career development opportunities with scope to influence data strategy and platform direction.
• Flexible and collaborative working environment focused on growth and learning.