Data Engineer: Data Architecture & Governance (Hybrid)

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

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.