Senior Data Engineer

Subsets
Copenhagen
Workplace: OnsiteFull timeUSD 115,000 - 160,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Analytical mindset","Learning velocity","Anti-meeting culture","Focused work","Adaptability"]

Build and manage scalable data pipelines and ETL processes for subscription lifecycle management. You’ll work closely with the founding team and software engineers to monitor, optimize, and scale data systems as the customer base grows. The role focuses on experiments and analytics that improve churn, retention, and upsell outcomes, using modern data tooling and strong engineering fundamentals in a fast-moving, early-stage environment.

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FursaFursa
Subsets
Subsets
2 days ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and manage scalable data pipelines and ETL processes for subscription lifecycle management. You’ll work closely with the founding team and software engineers to monitor, optimize, and scale data systems as the customer base grows. The role focuses on experiments and analytics that improve churn, retention, and upsell outcomes, using modern data tooling and strong engineering fundamentals in a fast-moving, early-stage environment.
Location: Copenhagen
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Work directly with the founding team and software engineers.
  • •Design, develop, and manage scalable data pipelines and ETL processes.
  • •Monitor and optimize current data pipelines as data volumes grow.
  • •Contribute in a lean team with significant product impact and ownership.
  • •Help scale the data setup from 10+ customers to 100+ customers based on your experience and opinions.

Pay and Benefits

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

Key Requirements

  • •Strong background in data engineering with a software engineering mindset and hands-on experience building robust data pipelines.
  • •Experience working with Google Cloud Platform (or AWS or similar).
  • •Ability to model data for consumption by machine learning pipelines.
  • •Analytical mindset suited to fast-paced, loosely defined environments.
  • •Comfort with early-stage intensity and a focused, anti-meeting culture.
Experience:5+ years
Skills:Analytical mindsetLearning velocityAnti-meeting cultureFocused workAdaptability
Tech Stack:PythonSQLDbtBigQueryPostgreSQLGCPDockerTerraformETL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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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