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Engineering

Data Engineer

On-siteFull-Time, ContractActive

About the role

Location: On-site. Work Type: Full Time, Contract. At Staff Outsourcing, we pride ourselves on delivering cutting-edge data engineering solutions tailored to complex business needs. Our team of experts is dedicated to leveraging advanced technologies and innovative strategies to enhance data-driven decision-making for our clients. Join us and become part of a dynamic and collaborative environment where your contributions make a meaningful impact. As a Data Engineer, you will design and build data pipelines to support analytics and business intelligence.

Responsibilities

  • Connecting new source systems to the customer data lake
  • Migration of current ETL processes (DL 1.0) to the new Data Lake (DL 2.0)
  • Implementation of monitoring and alerting mechanisms around the data lake ETLs to improve observability
  • Performing monitoring activities and providing support in resolving ETL-related incidents in pre-production and production environments

Requirements

  • Proficiency with Kafka event streaming – strong expertise required
  • Proficiency in SQL, Python, and PySpark – advanced knowledge necessary
  • Experience in working with ETL to data lake stages – hands-on experience required
  • Experience with version control systems (GitHub) – familiarity with workflows
  • Practical experience with CDK in Python (Infrastructure as Code)
  • Hands-on experience with AWS native services (Athena, Glue, Lambda, ECS)
  • DataOps, maintenance & support – ability to manage and optimize pipelines
  • Strong English communication skills (verbal and written)
  • Precision and security awareness – attention to detail and secure coding practices
  • Conceptual and analytical thinking – ability to connect insights and patterns
  • Problem-solving and critical thinking – logical and structured approach to challenges
  • Familiarity with Agile Ways of Working (WoW), including time management, prioritization, and adaptability
  • Quality assurance (CI/CD) – experience with continuous integration and deployment
  • Basic knowledge of Redshift and Data Warehousing – understanding of ETL for BI purposes
  • DevSecOps – experience with AWS security (IAM policies, security groups, etc.)
  • Nice to Have: Familiarity with data quality practices, including validation and governance
  • Nice to Have: Innovative mindset – willingness to explore and implement new solutions
  • Nice to Have: Domain knowledge in logistics and supply chain
  • Nice to Have: Dutch language proficiency – beneficial for communication with local stakeholders

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