Quinyx

Senior Data Engineer

Quinyx

full-time

Posted on:

Origin:  • 🇸🇪 Sweden

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Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSETLJavaPHPPythonScalaSQLTerraform

About the role

  • Design, build, and maintain scalable, reusable data pipelines and architectures
  • Ensure data quality, governance, and reliability across the organization
  • Provide strategic guidance on data solutions to support business growth
  • Lead high-impact projects and cross-functional collaborations with engineers, product managers, and stakeholders
  • Own architecture and design of data systems and drive adoption of new tools and technologies
  • Establish best practices, reusable frameworks, and high standards for data engineering
  • Mentor engineers, conduct code reviews, and foster technical excellence
  • Work on projects ranging from building new data solutions to improving existing infrastructure

Requirements

  • Strong expertise in SQL and data modeling
  • Proficiency in at least one programming language: Python, Scala, or Java
  • Deep experience with AWS data services (Redshift, Glue, EMR, Athena, S3, Lambda, ECS)
  • Hands-on experience with distributed data processing and workflow orchestration (e.g., Airflow, Step Functions)
  • Proven track record designing ETL/ELT pipelines, data warehouses, and CDC solutions
  • Knowledge of infrastructure-as-code (Terraform, CDK) a plus
  • Ability to solve complex data challenges at scale, including real-time analytics
  • Strong architecture, design, and problem-solving skills
  • Excellent collaboration and communication skills with technical and non-technical stakeholders
  • Experience mentoring engineers and conducting code reviews
  • Prior experience with ThoughtSpot as an analytics platform (desirable)