Data Engineer Jobs in the Netherlands 2026 | Amazing Career Opportunity but Limited Openings

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Data Engineer Jobs in the Netherlands

Job Details

Data Engineer Jobs in Amsterdam, Netherlands

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Job description

As a Data Engineer, you will become an integral part of the Data & Advanced Analytics team, supporting critical banking operations and data-driven decision-making processes. Your primary responsibility will be designing, developing, implementing, and maintaining enterprise-level data solutions that transform raw data into meaningful business insights and actionable intelligence.

You will work closely with business stakeholders, analysts, and technical teams to integrate new data sources into an existing SQL data warehouse while ensuring the highest standards of data quality, reliability, security, and performance. The role involves building and optimizing data pipelines, improving reporting and analytics capabilities, troubleshooting data-related issues, and supporting both modern cloud-based and legacy data environments.

In addition, you will contribute to data architecture improvements, database optimization, automation initiatives, and compliance with banking industry regulations. This hybrid role offers an excellent opportunity to collaborate with experienced professionals, gain exposure to large-scale financial projects, and work with industry-leading technologies in a dynamic and innovative banking environment.

Key Responsibilities

The successful candidate will be responsible for:

• Developing and maintaining SQL Server data warehouse solutions.
• Creating advanced T-SQL stored procedures, functions, triggers, and database views.
• Integrating new data sources into staging, warehouse, and data mart environments.
• Building and maintaining reliable ETL and data integration pipelines.
• Supporting reporting and analytics solutions for business users.
• Working with Python scripts to automate data engineering processes.
• Managing version control using Git.
• Using Airflow to schedule and monitor workflows.
• Optimizing SQL queries for better database performance.
• Monitoring data quality and resolving inconsistencies.
• Supporting legacy systems including Microsoft Access databases, Excel reports, and text files.
• Collaborating with analysts, developers, and business stakeholders to deliver scalable data solutions.
• Maintaining accurate documentation for databases and data pipelines.

Qualification

Required Education

Candidates should have:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Software Engineering, or a related technical discipline.
• Equivalent professional experience may also be considered.

Required Experience

Applicants should possess:

• Minimum 5 years of experience in Data Modeling and SQL database development.
• At least 5 years of advanced T-SQL programming experience.
• Minimum 5 years of Database Administration or Database Management experience.
• At least 3 years of experience working within the banking or financial services industry.
• Practical experience developing enterprise-level data warehouse solutions.
• Experience working with financial product data.

Required Skills

The ideal candidate should demonstrate experience with:

• Advanced SQL Server
• T-SQL Development
• Python Programming
• Airflow
• Git Version Control
• Database Administration
• Data Modeling
• Data Warehouse Development
• ETL Development
• Query Optimization
• Financial Product Data
• Banking Systems
• Microsoft Access
• Microsoft Excel
• Analytical Thinking
• Automation
• Problem Solving
• Communication Skills
• Cross-functional Collaboration

Why Join Us?

This opportunity offers the chance to work within a well-established international technology company serving the banking industry. Employees gain valuable exposure to enterprise-scale data engineering projects while working with modern technologies such as SQL Server, Python, Airflow, and Git.

The hybrid work model also provides greater flexibility while allowing professionals to collaborate closely with experienced technical teams. If you enjoy solving complex data challenges and building scalable analytics solutions, this position offers an excellent environment for professional growth.

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