Data Engineer (Fintech)

TL;DR

Data Engineer (Fintech): Designing and maintaining scalable data pipelines for critical financial investment processes with an accent on data quality, governance, and cloud-based warehouse architecture. Focus on building robust ETL workflows using dbt and Airflow to support complex reporting and analytics in a regulated environment.

Location: Den Haag, Netherlands

Company

hirify.global is a specialist consulting and recruitment partner connecting technology professionals with global organizations and scale-ups across the UK, Europe, and North America.

What you will do

• Design, develop, and maintain modern data pipelines and ETL processes.
• Build and optimize data models within a cloud-based data warehouse.
• Develop data transformations using dbt and orchestrate workflows with Apache Airflow.
• Ensure high standards of data quality, governance, monitoring, and documentation.
• Collaborate with business and IT stakeholders to translate functional requirements into scalable data solutions.
• Drive continuous improvements across the data platform and engineering practices.

Requirements

• At least 5 years of experience as a Data Engineer within a financial institution.
• Strong experience with SQL and Python.
• Hands-on experience with dbt and Apache Airflow.
• Experience with cloud data warehouse technologies such as Snowflake, BigQuery, or Redshift.
• Excellent communication skills in English.
• Strong understanding of financial products and investment processes.

Nice to have

• Experience with Azure and CI/CD practices.
• Familiarity with data governance in regulated environments.

Culture & Benefits

• Long-term project within a highly collaborative environment.
• Opportunity to work with modern cloud technologies.
• Focus on high-impact financial and investment data systems.