Senior Data Engineer (in-office Copenhagen)

Subsets
Copenhagen
Workplace: OnsiteFull timeUSD 115,000 - 160,000 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Collaboration","Problem-solving","Analytical thinking","Teamwork"]

Senior Data Engineer to design, build, and optimize scalable data pipelines and ETL processes in a lean startup environment. Work with founding team, software engineers, and data scientists to power an AI-driven subscription platform for millions of subscribers, and help scale from 10+ to 100+ customers from Copenhagen.

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FursaFursa
Subsets
Subsets
8 months ago

Senior Data Engineer (in-office Copenhagen)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Senior Data Engineer to design, build, and optimize scalable data pipelines and ETL processes in a lean startup environment. Work with founding team, software engineers, and data scientists to power an AI-driven subscription platform for millions of subscribers, and help scale from 10+ to 100+ customers from Copenhagen.
Location: Copenhagen
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, develop, and manage scalable data pipelines and ETL processes.
  • •Monitor and optimize current data pipelines as data volume grows.
  • •Collaborate with the founding team, software engineers, and data scientists to shape the product and data infrastructure.
  • •Scale the data infrastructure to support increasing customers (from 10+ to 100+).
  • •Contribute to building infrastructure powering the AI-driven platform.

Pay and Benefits

Salary: USD 115,000 - 160,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Hands-on experience in SQL, dbt, BigQuery, PostgreSQL, or similar.
  • •Experience with Google Cloud Platform and/or AWS.
  • •Experience with Docker, Terraform, Python, or similar technologies.
  • •Experience in building ETL pipelines and modeling data for ML pipelines.
  • •Strong Data Engineering background with ability to collaborate with software engineers and data scientists.
Experience:SaaSAISubscription
Skills:CommunicationCollaborationProblem-solvingAnalytical thinkingTeamwork
Languages:English
Tech Stack:Google Cloud PlatformBigQueryPostgreSQLSQLDbtDockerTerraformPythonAWS

Company Brief

Subsets
Operates a curated hiring marketplace connecting companies with vetted engineering and product talent, using data-driven matching and recruiting services to streamline candidate discovery, interviews, and placements for fast-growing teams.
Industry: Recruitment Agencies
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