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 🛶
Skills Required
- Strong background in data engineering with a software engineering lean
- Hands-on experience building robust, scalable data pipelines and ETL processes
- Experience with Google Cloud Platform (GCP) or AWS (cloud data platforms)
- Experience modeling data for machine learning pipelines
- Proficiency in Python
- Proficiency in SQL
- Experience with dbt
- Experience with BigQuery
- Experience with PostgreSQL
- Experience with Docker
- Experience with Terraform
- Analytical mindset and ability to work in fast-paced, loosely defined environments
- Preference for primarily in-office way of working
What We Do
Subsets is an AI-driven lifecycle growth and retention automation platform purpose-built for consumer subscription businesses. The company provides a no-code AI decisioning layer that allows commercial teams to automate lifecycle experimentation, orchestrate personalized user journeys, and optimize retention and lifetime value (LTV) by predicting key audiences and analyzing behavioral drivers of churn.
