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Data Engineer

quinyx.com Logo

Quinyx

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Location:
Sweden, Stockholm

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are looking for a skilled Data Engineer to join our growing data team. You’ll work on designing, developing, and maintaining scalable data pipelines and infrastructure that enable data-driven decisions across the organization. You’ll collaborate closely with senior engineers, product managers, and analysts to deliver reliable, high-quality data solutions. This role is ideal for someone who is self-sufficient and technically strong, but still looking to grow in architectural ownership and stakeholder engagement.

Job Responsibility:

  • Design, build, and maintain efficient, reusable, and reliable data pipelines
  • Collaborate with senior engineers on architecture and design decisions
  • Ensure data quality, governance, and reliability across multiple data sources
  • Implement and optimize ETL/ELT processes for analytics and business intelligence
  • Support integration of new data sources and help maintain data consistency
  • Participate in code reviews and contribute to team standards and best practices
  • Continuously improve data processes and look for automation opportunities

Requirements:

  • Strong experience in SQL, data modeling, and at least one programming language such as Python
  • Solid hands-on experience with AWS data services (e.g., S3, Redshift, Lambda, ECS, EMR)
  • Understanding of distributed data processing and workflow orchestration tools (e.g., Airflow)
  • Hands on experience with data transformation and modeling tools (e.g., dbt, sql mesh) and best practices for modular, testable data models
  • Experience building and maintaining ETL/ELT pipelines and data warehouses
  • Ability to take ownership of assigned projects and deliver high-quality work
  • Eagerness to learn from senior engineers and grow towards architectural responsibility
  • Strong problem-solving, collaboration, and communication skills
  • Passion for building scalable, reliable, and efficient data systems

Nice to have:

  • Experience with modern data observability, monitoring, or data quality tools
  • Exposure to containerization and deployment tools such as Docker or Kubernetes
  • Experience working with real-time data streaming technologies
  • Demonstrated initiative in improving data platform efficiency or cost optimization within cloud environments
What we offer:
  • Flexible work hours and latest tools
  • Enhanced vacation allowance
  • Gym membership contribution

Additional Information:

Job Posted:
December 11, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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