Data Platform Engineer — End-to-End Pipelines

The Hub/Danske Bank; København; On-site; DKK 900,000 - 1,300,000; Full time

Benefits offered by this job

Office in Copenhagen

Modern tech stack

Real ownership of projects

Collaborative product-focused work

Job summary

The Hub in Copenhagen is seeking a data engineer to own end-to-end data ingestion pipelines, from source systems into Snowflake, and to manage orchestration with Dagster. You will design and maintain dbt models, infrastructure-as-code using Terraform, and collaborate with product and platform teams to keep data reliable and well-tested.

You'll work with a modern stack including Snowflake, Dagster, dbt Cloud, and Terraform, and gain exposure to AI-driven data tooling.

Qualifications

• Experience owning end-to-end data ingestion pipelines, including messy source system quirks and backfills.
• Experience owning orchestration in a tool like Dagster (or Airflow/Prefect) and handling failures.
• Experience managing cloud data infrastructure as code—Terraform required, DCM preferred.
• Strong hands-on experience with dbt and a cloud data warehouse, including dbt Cloud administration.

Responsibilities

• Own end-to-end data ingestion pipelines from source systems into Snowflake.
• Own orchestration in Dagster: scheduling, dependencies, observability, and recovery.
• Design and maintain dbt models and manage dbt Cloud environments and deployments.
• Collaborate with engineering teams to translate platform needs into data models.

Skills

Data ingestion

Dagster orchestration

Terraform IaC

dbt Cloud administration

Snowflake data warehouse

SQL

CI/CD for data

Cross-team collaboration

Tools

Snowflake

dbt Cloud

Dagster

Job description

The Hub in Copenhagen is seeking a data engineer to own end-to-end data ingestion pipelines, from source systems into Snowflake, and to manage orchestration with Dagster. You will design and maintain dbt models, infrastructure-as-code using Terraform, and collaborate with product and platform teams to keep data reliable and well-tested.

You'll work with a modern stack including Snowflake, Dagster, dbt Cloud, and Terraform, and gain exposure to AI-driven data tooling.