Senior Data Integration Engineer

As a Senior Data Integration Engineer, you will be part of a multidisciplinary data team working on a modern Data Lake environment. You will play a key role in designing, developing, and maintaining the data integration layer, ensuring reliable, scalable, and high-quality data delivery for downstream reporting and analytics.

You will work closely with product leads, data engineers, and data management specialists to onboard new data sources, define mapping specifications, and develop ETL pipelines. A strong focus is placed on data storage tooling, Oracle-based platforms, and enterprise ETL solutions. Given the seniority of this role, you are also expected to coach and guide junior engineers, providing architectural direction and promoting standardisation and automation across the data landscape.

The environment is agile and DevOps-oriented, requiring a high degree of autonomy, ownership, and collaboration.

What you will do

• Design, build, and maintain a data integration layer within a large-scale Data Lake environment
• Develop and manage complex ETL flows for batch and near real-time data ingestion
• Create data mapping specifications from multiple source systems
• Work extensively with enterprise data storage platforms, including Oracle-based solutions
• Address data modelling and integration challenges across the data lifecycle
• Coach and mentor junior engineers from a technical and architectural perspective
• Contribute to automation, standardisation, and continuous improvement of data delivery
• Collaborate closely with product teams in an agile, self-steering setup

Do you have experience in SQL?, * Senior, hands-on Data Integration Engineer with 10+ years of experience

• Comfortable operating independently in complex enterprise data environments
• Passionate about knowledge sharing, coaching, and growing others in the team
• Strong analytical mindset with a proactive, can-do attitude
• Naturally focused on quality, automation, and long-term maintainability

About you (requirements)

• Minimum 10 years' experience as a Data Engineer / Data Integration Engineer
• Strong experience designing and building integration layers
• Proven experience with enterprise ETL tooling (e.g. IBM DataStage or similar)
• Solid knowledge of data modelling (Data Vault, dimensional modelling, or similar)
• Strong Oracle database knowledge (Oracle Exadata or comparable platforms)
• Deep understanding of data storage tooling and large-scale data platforms
• Experience coaching and guiding junior engineers
• Strong SQL skills
• Fluent in English

Preferred

• Experience with scheduling tools
• Version control (Git or similar)
• CI/CD pipelines (e.g. Azure DevOps pipelines)
• Reporting or analytics tooling (e.g. Cognos or similar)
• Agile / DevOps ways of working
• Exposure to cloud-based data platforms or cloud migration initiatives

Since 2000 we provide professional solutions to organizations ranging from tech start-ups to global players. From our offices in Amsterdam and London we have built an international and local network of skilled employed professionals and contractors fuelled by our passion for connecting skills with projects. Over the years we have fulfilled over 2500 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come