Data Platform Engineer — Build & Run Scalable Cloud Pipelines

Cadeler; Københavns Kommune; On-site; DKK 780,000 - 1,020,000; Full time

Job summary

Cadeler seeks a Data Platform Engineer to design, build and operate a cloud data platform on Snowflake and Azure. You will work with business teams to integrate sources, automate pipelines and provide reliable data for analytics and reporting.

You will own CI/CD in Azure DevOps, implement dimensional models, monitor pipelines and enable fast, accurate data-driven decisions across the organization.

Qualifications

• University degree in computing, statistics or mathematics or equivalent.
• 3+ years hands-on experience as a data engineer or data platform engineer.
• Proven experience designing, building and operating production data pipelines.
• Advanced SQL and Python skills for data processing and automation.

Responsibilities

• Design, build and operate the technical foundations of the data platform on Snowflake and Azure.
• Integrate source systems, automate data pipelines and ensure data is available for analytics.
• Own CI/CD and source control in Azure DevOps with infrastructure as code.
• Design dimensional models (facts, dimensions, star schemas) across layers.
• Set up monitoring, alerting and troubleshoot production incidents.
• Deliver curated datasets for reporting in Power BI.

Skills

SQL

Python

Data pipelines

Snowflake

Azure

Data modeling

CI/CD

Dimensional modelling

RBAC

English communication

Education

University degree in computing/statistics/mathematics

Tools

Azure DevOps

Snowflake

Job description

Cadeler seeks a Data Platform Engineer to design, build and operate a cloud data platform on Snowflake and Azure. You will work with business teams to integrate sources, automate pipelines and provide reliable data for analytics and reporting.

You will own CI/CD in Azure DevOps, implement dimensional models, monitor pipelines and enable fast, accurate data-driven decisions across the organization.