Senior Data Engineer

Harnham; Amsterdam; On-site; EUR 90,000 - 135,000; Full time

Benefits offered by this job

Competitive salary and benefits

Learning & development opportunities

Collaborative environment

Job summary

Harnham in Amsterdam is seeking a Senior Data Engineer to design, build, and scale modern data platforms across the full data lifecycle. The role focuses on data accessibility, quality, and business-critical applications, enabling colleagues and stakeholders through robust data solutions.

You'll work with Azure, Databricks, dbt and Power BI to implement scalable architectures, data models, and governance. Mentoring juniors and collaborating with IT colleagues are key parts of the role.

Qualifications

• Strong commercial experience building and maintaining modern data platforms.
• Hands-on expertise with Azure, Databricks, dbt, Power BI, and Unity Catalog.
• Strong SQL and Python skills, with additional scripting experience beneficial.
• Deep understanding of data modelling, database technologies, and data management best practices.
• Experience designing scalable data architectures and data integration solutions.
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
• Experience supporting and enabling colleagues through training, coaching, or knowledge sharing.

Responsibilities

• Design, build, and maintain ETL pipelines to support reliable data integration and accessibility.
• Develop and maintain data storage environments and supporting infrastructure.
• Create and enhance data models to improve performance, quality, and usability.
• Manage data extraction processes and integrate new data sources into existing platforms.
• Monitor data availability, system performance, and platform health.
• Build and maintain business-relevant applications that improve stakeholder efficiency.
• Collaborate with central IT teams to ensure alignment on technology and governance.
• Support, train, and mentor junior team members while contributing to the wider data capability of the organisation.

Skills

Azure

Databricks

dbt

Power BI

Unity Catalog

SQL

Python

Data modelling

Data management

Tools

Databricks

dbt

Power BI

Unity Catalog

Job description

Are you a Senior Data Engineer looking to play a pivotal role in shaping and scaling modern data platforms? This is an opportunity to join a data-driven organisation where you will have a direct impact on data accessibility, data quality, and the development of business-critical applications. You will work across the full data lifecycle while helping to enable colleagues and stakeholders through robust, scalable data solutions.

The Company

They are a forward-thinking organisation investing heavily in data enablement and modern data infrastructure. Their teams use data to support decision-making, improve operational efficiency, and create value across the business. You will join a collaborative environment where innovation, continuous improvement, and knowledge sharing are highly valued. The business is committed to developing scalable platforms that support both current and future data needs.

The Role

• Design, build, and maintain ETL pipelines to support reliable data integration and accessibility.
• Develop and maintain data storage environments and supporting infrastructure.
• Create and enhance data models to improve performance, quality, and usability.
• Manage data extraction processes and integrate new data sources into existing platforms.
• Monitor data availability, system performance, and platform health.
• Build and maintain business-relevant applications that improve stakeholder efficiency.
• Collaborate with central IT teams to ensure alignment on technology and governance.
• Support, train, and mentor junior team members while contributing to the wider data capability of the organisation.

Your Skills & Experience

• Strong commercial experience building and maintaining modern data platforms.
• Hands-on expertise with Azure, Databricks, dbt, Power BI, and Unity Catalog.
• Strong SQL and Python skills, with additional scripting experience beneficial.
• Deep understanding of data modelling, database technologies, and data management best practices.
• Experience designing scalable data architectures and data integration solutions.
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
• Experience supporting and enabling colleagues through training, coaching, or knowledge sharing.

What They Offer

• Competitive salary and benefits package.
• Opportunity to take ownership of data integration, modelling, accessibility, and platform development.
• Exposure to modern cloud, analytics, and data engineering technologies.
• A collaborative environment focused on continuous learning and technical growth.
• Clear opportunities to develop leadership skills and broaden your impact across the organisation.