head of data engineering

NDA; Amsterdam; Hybrid; EUR 180,000 - 240,000; Full time

Benefits offered by this job

Performance-related bonus

Comprehensive benefits package

Flexible working arrangements

Opportunity to shape and scale an data

Significant exposure to senior leaders

Career progression to Director-level

Influence on long-term data & AI 전략

Job summary

NDA is modernising its data estate from Amsterdam, building a scalable platform to support analytics, AI, and business decision-making. You will lead a senior team of Data Engineers, Analytics Engineers, and Platform Engineers to define a bold data engineering roadmap and drive cross-functional delivery.

As a senior leader, you will set engineering standards, oversee architecture decisions, and ensure reliability, security, and governance across cloud platforms.

Qualifications

• Proven leadership of data engineering teams on large-scale platform programs.
• Experience with cloud data platforms (Snowflake, Databricks, public clouds).
• Strong data warehousing, modeling, ETL/ELT, orchestration.
• Ability to translate business needs into technical delivery plans.
• Experience with CI/CD, DataOps, testing and governance.
• Hands-on leadership while supporting technical teams.
• Excellent stakeholder management across Tech, Product, Analytics.
• Experience delivering migrations, consolidations, or greenfield builds.

Responsibilities

• Build, lead, and mentor a team of Data Engineers, Analytics Engineers, and Platform Engineers
• Define and execute the data engineering roadmap with senior leadership
• Drive delivery across platform development, data migrations, and modernisation initiatives
• Establish engineering standards for code quality, CI/CD, testing, documentation, and operational excellence
• Oversee architecture decisions to ensure scalable, reliable data solutions
• Develop cloud-based data platforms supporting analytics, reporting, and AI use cases
• Manage stakeholder relationships across technology, product, analytics, and business teams
• Ensure platform reliability through monitoring, incident management, and operational governance
• Support hiring, team development, and succession planning within the engineering function
• Champion best practices across Data Engineering, DataOps, and platform operations

Skills

Data leadership

Team building

Cloud data platforms

Data engineering

DataOps

CI/CD

Stakeholder management

Platform architecture

MLOps

Tools

Snowflake

Databricks

Azure

AWS

Google Cloud

Job description

Описание

The organisation is modernising its data estate and building a scalable platform to support analytics, AI, and business decision-making.

Задачи

• Build, lead, and mentor a team of Data Engineers, Analytics Engineers, and Platform Engineers


• Define and execute the data engineering roadmap with senior leadership


• Drive delivery across platform development, data migrations, and modernisation initiatives


• Establish engineering standards for code quality, CI/CD, testing, documentation, and operational excellence


• Oversee architecture decisions to ensure scalable, reliable, and secure data solutions


• Develop cloud-based data platforms supporting analytics, reporting, and AI use cases


• Manage stakeholder relationships across technology, product, analytics, and business teams


• Ensure platform reliability through monitoring, incident management, and operational governance


• Support hiring, team development, and succession planning within the engineering function


• Champion best practices across Data Engineering, DataOps, and platform operations

Требования

• Strong commercial experience leading Data Engineering teams and delivering large-scale data platform programmes


• Expertise with modern cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud


• Strong understanding of data warehousing, data modelling, ETL/ELT pipelines, and orchestration tools


• Experience building and scaling engineering teams while maintaining high technical standards


• Ability to lead architectural discussions and make informed technical decisions


• Experience implementing CI/CD, automation, testing, and DataOps best practices


• Strong stakeholder management skills and ability to translate business requirements into technical delivery plans


• Experience delivering complex transformation programmes, including migrations, consolidations, or greenfield platform builds


• Familiarity with governance, security, and compliance requirements in enterprise environments


• Hands-on leadership style and ability to support technical teams when needed

Условия

• Performance-related bonus


• Comprehensive benefits package


• Flexible working arrangements


• Opportunity to shape and scale an entire Data Engineering function


• Significant exposure to senior leadership and strategic decision-making


• Clear progression towards Director-level and broader Data & AI leadership responsibilities


• Opportunity to influence the organisation's long-term data and AI strategy