Data Engineer

Harnham; Amsterdam; Hybrid; EUR 48,000 - 80,000; Full time

Benefits offered by this job

Hybrid work from Amsterdam

Ownership of data engineering function

Job summary

Harnham in Amsterdam is seeking a Data Engineer to design and implement scalable data architectures across investment, portfolio, market and stakeholder data. You will build models, standards and integrations, and establish data governance and quality monitoring.

You’ll partner with technical and non-technical stakeholders to translate requirements into a practical data roadmap while enabling automated reporting and insights.

Qualifications

• Strong commercial data engineering experience and ability to design data architectures.
• Proficient coding skills and experience building data integrations and automated workflows.
• Experience establishing data standards, data models and data quality processes.

Responsibilities

• Assess existing data practices 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 data flow reliability.
• 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.

Skills

Data architecture

Coding & automation

Data standards & models

BI & dashboards

Stakeholder communication

Independent work

Financial services data (beneficial)

Tools

BI tools

Job description

The Company

They are a purpose-led investment organisation focused on supporting innovation and emerging defense technologies. They work across an international ecosystem of investment, technology and institutional stakeholders. With data becoming increasingly important to their operations, they are investing in creating a scalable and reliable data infrastructure.

The Role

As a Data Engineer, you will:

• 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.

Your Skills & Experience

• 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.
• Experience with investment, financial services, venture capital or private equity data would be beneficial but is not essential.

What They Offer

• 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.