TG

Too Good To Go · jobs.ashbyhq.com · checked today

Data Platform Engineer

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together. 40% of all food produced in the world is wasted, contributing to 10% of global greenhouse gas emissions. We’re more than an app, we are a social impact company working across 20 countries to drive change through our marketplace app, educational tools, legislative work, and logistics initiatives.

Skills, with evidence

• Airflow / orchestration
  Solid experience designing, building, and operating data processing solutions (Airflow, AppFlow, Metaflow, dbt, dlt), and working with distributed systems in production (Spark on EMR, Glue).must havewrong?
• Data quality
  Automate both observability metrics and data integrity tests to ensure reliable, trusted data sources, and strong data governance across central warehouse and external team product workflows.must havewrong?
• Python
  Strong proficiency in Python and SQL, understanding of modern data warehouse internals (AWS Redshift) and efficient ways of working on S3.must havewrong?
• SQL
  Strong proficiency in Python and SQL, understanding of modern data warehouse internals (AWS Redshift) and efficient ways of working on S3.must havewrong?
• Spark
  Solid experience designing, building, and operating data processing solutions (Airflow, AppFlow, Metaflow, dbt, dlt), and working with distributed systems in production (Spark on EMR, Glue).must havewrong?
• dbt
  Solid experience designing, building, and operating data processing solutions (Airflow, AppFlow, Metaflow, dbt, dlt), and working with distributed systems in production (Spark on EMR, Glue).must havewrong?
• AWS
  Strong proficiency in Python and SQL, understanding of modern data warehouse internals (AWS Redshift) and efficient ways of working on S3.must have · not practised herewrong?
• Terraform
  Experience applying DataOps, GitOps, Terraform, CI/CD tools (GitHub Actions, Docker) and observability tools.must have · not practised herewrong?
• Streaming
  Data Platform enables multiple teams including Backend, ML, Analytics, and Marketing by helping them manage data infrastructure powering batch pipelines, live inference, and streaming initiatives across the company.wrong?
• Warehousing
  Work together with analytics engineers to bring new data sources into the central warehouse.wrong?
• Dashboards & BI
  You will be responsible for designing, improving, and implementing reliable, robust data systems and the ingestion flows that feed both our backend app and our BI tools, supporting growth and better decisions across the company.not practised herewrong?
• Kubernetes
  Experience applying DataOps, GitOps, Terraform, CI/CD tools (GitHub Actions, Docker) and observability tools.not practised herewrong?
• Failure handling
  - Work-life balance focus (no mandatory overtime or standard on-call duty).wrong?
• Governance & security
  - Data Quality & SLAs: Automate both observability metrics and data integrity tests to ensure reliable, trusted data sources, and strong data governance across central warehouse and external team product workflows.not practised herewrong?