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Senior Data Engineer

Senior Data Engineer to enhance data infrastructure at Too Good To Go.
Too Good To Go
Hybrid
On-Site
Denmark
Undisclosed salary
Job Description
Too Good To Go is seeking a Senior Data Engineer to enhance its existing data infrastructure. The role is based in Copenhagen and is part of the platform team. The company values employee input on the technology stack and encourages adaptation and optimization.

Role involves:
  • Designing, building, and maintaining data pipelines.
  • Collaborating with software and analytics engineers.
  • Developing scalable ETL processes.
  • Identifying and prioritizing analytics requirements.
  • Monitoring data pipelines and resolving issues.
  • Contributing to data engineering practices.

Requirements:
  • Proven experience in a similar role.
  • Experience with infrastructure-as-code, using Terraform.
  • Background in building scalable, data-intensive applications on cloud infrastructure.
  • Proficiency in Python & SQL.
  • Understanding of modern data warehouses (ideally, Redshift).
  • Experience with CI/CD tools and Docker (ideally on Kubernetes).
  • Experience with Airflow or similar orchestration tools.
  • Experience applying DevOps principles to data systems (DataOps).
  • Knowledge of AWS services.

Too Good To Go offers:
  • Opportunity to work in a global social-impact company.
  • Integral membership in defined product teams.
  • Work-life balance.
  • Autonomous environment.
  • International company with 1,300+ colleagues.
  • Hybrid work setup.
Apply Manually

Too Good To Go

Too Good To Go is a European impact business committed to reducing food waste. Connecting businesses with surplus food to consumers, it operates in 19 countries with over 116 million users. The company fosters a collaborative approach involving producers, retailers, consumers, and policymakers to minimize waste. With a focus on sustainability, Too Good To Go aims to create a world where all food produced is ultimately consumed, promoting environmental and social responsibility in the food industry.

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