Data Engineer (Databricks & Treasury Data Lake)

GeekSoft Consulting; Utrecht; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Fixed-term contract

Job summary

GeekSoft Consulting in Utrecht, Netherlands seeks a Data Engineer focused on Databricks and the Treasury Data Lake to design, build, and optimize ingestion pipelines and data transformations. You will ensure data quality, implement monitoring, and maintain high availability for downstream analytics and treasury operations.

You will work across Bronze, Silver, and Gold layers, applying best-practice data modeling and enrichment techniques while optimizing performance and costs on cloud-native

Qualifications

• Experience with building robust data ingestion pipelines.
• Experience transforming data across multi-layer architectures (Bronze/Silver/Gold).
• Strong focus on data quality, validation, and monitoring.

Responsibilities

• Design, build and improve the client’s online platform.
• Research and implement new technology following best practices/standards.
• Ensure resiliency and availability of products and datasets.
• Collaborate effectively with the team.

Skills

Databricks

Treasury Data Lake

ETL pipelines

Data quality

Cloud platforms

Tools

Databricks

Job description

GeekSoft Consulting | Fixed Term Employment

Data Engineer (Databricks & Treasury Data Lake)

Utrecht, Netherlands | Posted on 09/07/2026

• Help design, build and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for the resiliency and availability of different products.
• Be a productive member of the team.

Requirements

• Data Engineer focused on Databricks and the Treasury Data Lake, responsible for building robust ingestion pipelines, transforming data across multi-layer architectures, and ensuring high-quality, reliable datasets for downstream consumers.
• Build and maintain scalable ingestion pipelines from multiple Treasury and enterprise source systems, ensuring efficient and secure data movement into the lake.
• Transform raw data through Bronze, Silver, and Gold layers, applying best-practice modeling, cleansing, and enrichment techniques.
• Implement automated data quality validation, monitoring, and alerting to ensure accuracy, integrity, and reliability.
• Ensure continuous availability and trustworthiness of datasets for downstream analytics, reporting, and Treasury operations.
• Continuously optimize pipeline performance, scalability, and cost efficiency across Databricks and cloud-native platforms.
• A challenging, innovating environment.
• Opportunities for learning where needed.