Senior Data Engineer (in-office Copenhagen)

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

Job summary

Subset s is seeking a Senior Data Engineer to join our early team in Denmark, potentially in a lead role, building scalable data infrastructure powering our AI-driven subscription platform. You will design and operate data pipelines, collaborate with software engineers and data scientists, and shape product experiences for millions of subscribers.

If you bring ETL experience, SQL/dbt/BigQuery, cloud skills (GCP/AWS), Python and Docker, you’ll help scale from 10+ to 100+ customers in a

Qualifications

• Experience building ETL pipelines.
• Hands-on experience with SQL, dbt, BigQuery, or PostgreSQL.
• Experience with Google Cloud Platform, AWS, or similar.
• Experience with Docker, Terraform, Python, or similar technologies.
• Experience modeling data for ML pipelines.
• Analytical mindset for defining relevant data in use-case contexts.
• Ability to thrive in a startup where priorities can change quickly.

Responsibilities

• Design, develop, and manage scalable data pipelines and ETL processes.
• Monitor and optimize current data pipelines as data volumes grow.
• Collaborate with founding team and software engineers on data infrastructure.
• Contribute to shaping product experience through data.
• Help scale the setup from 10+ to 100+ customers.

Skills

Data Engineering

ETL pipelines

Analytical mindset

Startup environment adaptability

Tools

Docker

Terraform

Python

SQL

dbt

BigQuery

PostgreSQL

Google Cloud Platform

AWS

Job description

About

We are seeking a driven Senior Data Engineer (potentially in a Lead role) to join our early team at Subsets as we build the future of AI-driven Subscription growth for CRM and Lifecycle teams. As one of the early team members, you will play a crucial role in the company, developing key infrastructure and directly contributing to the shaping of our product. You will collaborate with our software engineers and data scientists to build a scalable data infrastructure that powers our AI-driven platform.

As a Data Engineer at Subsets, you will work directly with our customers' data and have the opportunity to shape and impact the product experience for millions of subscribers (our customers’ customers).

In this role, you will

• 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.

You may be a good fit if you have

• A professional background in Data Engineering, preferably with an overlap to Software Engineering.


• Have prior experience building ETL pipelines.


• Hands-on experience in SQL, dbt, BigQuery, PostgreSQL, or similar.


• Experience working with Google Cloud Platform, AWS, or similar.


• Experience working with Docker, Terraform, Python, or similar technologies.


• Experience in modeling data to be consumed by machine learning pipelines.


• An analytical mindset to help define what data are relevant in a specific use-case context.


• The ability to work effectively in a startup environment where things change fast and are sometimes loosely defined.

This is neither an exhaustive nor a necessary list of capabilities. If none of these apply to you, but you believe you can contribute to Subsets, please reach out.