Data engineer in private equity

This is an opportunity to take ownership of a core data environment and build the foundations that will support investment decisions, reporting and long-term growth. You will have genuine scope to shape the data architecture, integrations, governance and tooling rather than simply maintaining an established platform.

• Assess existing data practices, systems and workflows and translate findings into a practical data roadmap.
• Design and build scalable data architecture across investment, portfolio, market and stakeholder data.
• Define data models, taxonomies and standards across core data domains.
• Build integrations between business-critical platforms and improve the reliability of data flows.
• Create automated reporting and dashboards for internal decision-making and stakeholder reporting.
• Establish data quality processes, validation rules and monitoring.
• Develop data governance, classification and access controls.
• Partner with technical and non-technical stakeholders to understand requirements and drive adoption.
• Continuously improve the data environment as organisational requirements evolve.

• Strong commercial Data Engineering experience, particularly designing and building data architectures rather than solely maintaining existing environments.
• Strong coding skills and the ability to build integrations and automated data workflows.
• Experience establishing data standards, data models and data quality processes.
• Familiarity with Business Intelligence and dashboarding tools.
• Strong stakeholder communication skills across technical and non-technical audiences.
• Ability to work independently, prioritise effectively and solve complex data challenges.
• Будет плюсом: Experience with investment, financial services, venture capital or private equity data would be beneficial but is not essential

• Salary up to €80,000.
• Hybrid working from Amsterdam, with remote working available 1 to 2 days per week.
• Significant ownership of a foundational Data Engineering function.
• The opportunity to influence tooling, architecture, governance and long-term data strategy.
• Exposure to an international, technology-focused environment with clear scope for professional growth.