Senior Data Engineer - Subscription Lifecycle Management

subsets Denmark
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AI Summary

Join an early-stage startup building the future of AI-driven subscription growth as a Senior Data Engineer. Lead the design, development, and management of scalable data pipelines and ETL processes. Grow with a lean, high-performing team.

Key Highlights
Design, develop, and manage scalable data pipelines and ETL processes
Work directly with the founding team and software engineers
Assume numerous responsibilities and have a significant impact on the product
Key Responsibilities
Design, develop, and manage scalable data pipelines and ETL processes
Monitor and optimize current data pipelines
Bring opinions and experiences on how to scale the current setup
Technical Skills Required
Python SQL dbt BigQuery PostgreSQL GCP Docker Terraform
Benefits & Perks
Competitive salary & equity
Company card for all things office food/snack
Relocation support if you don't live in Copenhagen

Job Description


Subsets (YC S23) is an early-stage startup building the future of AI-driven subscription growth. As a Senior Data Engineer, you’ll join the early team building the future of subscription lifecycle management, helping brands create audiences, run experiments, and optimize how messaging impacts churn, retention, upsell and more!

What You Will Do

  • work directly with the founding team and our software engineers.
  • design, develop, and manage our scalable data pipelines and ETL processes.
  • monitor and optimize our current data pipelines (we are moving a lot of data!).
  • work in a lean, high-performing team where you will have a significant impact on the product and assume numerous responsibilities.
  • bring your opinions and experiences on how to scale our current setup from 10+ customers to 100+ customers.

Tech stack: Python, SQL, dbt, BigQuery, PostgreSQL, GCP, Docker, Terraform.

You don't need to know everything - we value strong fundamentals and learning velocity.

You may be a good fit if

  • you have a strong background in data engineering (with a software engineering lean) and hands-on experience building robust data pipelines.
  • you worked with Google Cloud Platform, AWS, or similar before.
  • you have experience in modeling data to be consumed by machine learning pipelines.
  • you have an analytical mindset that thrives in fast-paced, loosely defined environments.
  • you have an "anti-meeting" culture mindset and value focused work time.
  • you prefer a primarily in-office way of working
  • you’re energized by the pace and intensity of early-stage startups

Perks

  • competitive salary & equity
  • company card for all things office food/snacks
  • great breakfast and lunch (and dinner when working late in the office)
  • relocation support if you don't live in Copenhagen
  • office kayaks 🛶

Compensation Range: $115K - $160K


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