Senior data engineer (data platform & management) 10704150

ITProposal
Amsterdam, Netherlands
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Amsterdam, Netherlands

Tech stack

Azure
Cloud Database
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
ETL
Data Storage Technologies
Data Ingestion
Azure
Spark
Data Analytics
Data Management
Databricks

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

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