Senior Data Engineer

Subsets; København; On-site; DKK 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary & equity

Company card for office food/snacks

Great breakfast and lunch

Relocation support

Office kayaks

Job summary

An innovative startup in Copenhagen is seeking a Senior Data Engineer to design and manage scalable data pipelines, collaborate with the founding team, and optimize data processes. The ideal candidate has strong data engineering skills, experience with Google Cloud Platform, and thrives in dynamic, early-stage environments. The role offers a competitive salary, relocation support, and unique perks like office kayaks and food provisions.

Qualifications

• Strong background in data engineering with software engineering experience.
• Hands-on experience building reliable data pipelines.
• Experience with Google Cloud Platform, AWS, or similar services.
• Experience modeling data for ML pipelines.
• Analytical mindset in fast-paced, loosely defined environments.
• Preference for an in-office working style.

Responsibilities

• Work directly with the founding team and software engineers.
• Design, develop and manage scalable data pipelines.
• Optimize and monitor current data pipelines.
• Work in a lean, high-performing team with significant product impact.
• Scale our setup from 10+ customers to 100+ customers.

Skills

Data engineering

Building robust data pipelines

Analyzing data

Google Cloud Platform

SQL

Learning velocity

In-office

Tools

Python

BigQuery

PostgreSQL

Docker

Terraform

dbt

SQL

Python

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 🛶