Senior data engineer (data platform & management) 10704150
Role details
Job location
Tech stack
Job description
We are looking for a highly experienced Senior Data Engineer to join our dynamic, platform-driven team in Amsterdam. In this role, you will play a key part in enhancing and scaling our data platform to improve data quality, governance, and accessibility across the organization.
You will work within a multidisciplinary team of engineers and analysts to build robust, scalable data solutions that empower business users and data engineering peers alike. This is an exciting opportunity to contribute to a forward-thinking, innovation-driven environment at GET (Gall & Etos Tech)., * Enhance and optimize the data platform to improve data quality, integrity, and management
- Design and implement scalable data architectures that are intuitive and easy to understand
- Build and maintain data pipelines for efficient data ingestion, transformation, and access
- Collaborate with cross-functional teams to deliver impactful, data-driven business solutions
- Develop and implement data management methodologies and scale them with business growth
- Ensure reliable data storage, organization, and retrieval from multiple sources
- Stay up to date with emerging technologies and industry trends for continuous improvement and innovation
Requirements
- 10+ years of experience in Data Engineering or related roles
- Strong expertise in:
- Apache Spark
- Databricks
- Azure Data Factory
- Proven experience in data platform engineering and data management
- Solid understanding of data architecture, ETL/ELT processes, and data modeling
- Experience working in agile, multidisciplinary teams
- Strong analytical thinking and problem-solving skills
Nice to Have
- Experience in platform-based product organizations
- Exposure to modern data governance and data quality frameworks
- Familiarity with cloud-based data ecosystems, particularly Microsoft Azure