Staff Data Engineer

This is an opportunity for a Staff Data Engineer to take ownership of large-scale data platform challenges within a highly data-driven organisation. You will combine hands-on engineering with technical leadership, helping shape the future of a modern data platform while enabling teams across the business through self-service capabilities, platform tooling, and AI-focused initiatives.

The Company

They are a technology-led organisation with a strong culture of innovation and experimentation. Data is a core part of their strategy, with significant investment being made in platform capabilities, data products, and AI initiatives.

Their Data Platform team acts as an enabler for the wider business, providing the tooling, frameworks, and guardrails that allow engineering and data teams to work efficiently at scale. As they continue to expand their platform capabilities, they are looking for experienced technical leaders who can drive impact across multiple teams.

The Role

As a Staff Data Engineer, you will play a key role in the design, development, and evolution of a modern data platform.

Responsibilities include:

• Driving the design and implementation of scalable data platform solutions.
• Building and enhancing self-service capabilities for engineering and data teams.
• Developing, productionising, and supporting data products in a cloud-based environment.
• Providing technical leadership across complex engineering initiatives.
• Translating business and stakeholder requirements into actionable technical solutions.
• Collaborating with engineering, product, and non-technical stakeholders to deliver value.
• Supporting platform reliability, performance, and operational excellence.
• Providing technical direction and context to teams while maintaining a hands-on engineering contribution.
• Driving strategic initiatives through to successful delivery.

Your Skills & Experience

• Strong commercial experience in Data Engineering.
• Proven experience building and productionising solutions within Databricks.
• Experience working with Spark in large-scale data environments.
• Experience with infrastructure-as-code tools such as Terraform.
• Strong understanding of platform engineering principles and best practices.
• Experience designing and operating data platforms in production environments.
• Strong stakeholder management and communication skills.
• Demonstrated ability to lead technical initiatives and influence engineering direction.
• Ability to operate effectively within cross-functional environments and drive outcomes through collaboration.
• AWS and/or GCP.
• Data platform tooling and enablement.
• Experience supporting AI and machine learning initiatives.

What They Offer

• €100,000 - €130,000 base salary plus benefits.
• High levels of autonomy and ownership.
• Opportunity to influence platform strategy and technical direction.
• Exposure to complex, large-scale engineering challenges.
• Work on initiatives that impact teams across the entire organisation.
• Access to cutting-edge data and AI programmes.
• Clear progression opportunities within a growing data and engineering function.
• Hybrid working environment in Amsterdam.