Cloud Data Platform Engineer - Snowflake & Azure

Cadeler; København; On-site; DKK 720,000 - 1,100,000; Full time

Job summary

Cadeler is seeking a Data Platform Engineer to design, build and operate the company’s cloud data platform on Snowflake and Azure. You will partner with business teams, IT and information security to ensure trusted, well-governed data for analytics and reporting.

The role focuses on creating scalable data pipelines, costing optimization, and delivering semantic-ready datasets to empower Power BI reports and operational insights. Strong SQL and Python skills are essential.

Qualifications

• University degree in computing, statistics or mathematics.
• 3+ years of hands-on experience as a data engineer or data platform engineer.
• Proven experience designing, building and operating production data pipelines.
• Fluent spoken and written English.

Responsibilities

• Design, build and operate the technical foundations of Cadeler's data platform on Snowflake and Azure.
• Integrate source systems and automate data pipelines for analytics and reporting.
• Own CI/CD and source control in Azure DevOps with infrastructure as code.
• Design dimensional data models across raw, staging, integration and mart layers.
• Set up pipeline monitoring, anomaly detection and alerting; troubleshoot incidents.
• Deliver curated datasets and semantic measures for Power BI reporting.

Skills

SQL

Python

Snowflake

Azure

Data pipelines

CI/CD

Dimensional modelling

Data governance

English

Education

University degree in computing, statistics or mathematics

Tools

Fivetran

Azure DevOps

Job description

Cadeler is seeking a Data Platform Engineer to design, build and operate the company’s cloud data platform on Snowflake and Azure. You will partner with business teams, IT and information security to ensure trusted, well-governed data for analytics and reporting.

The role focuses on creating scalable data pipelines, costing optimization, and delivering semantic-ready datasets to empower Power BI reports and operational insights. Strong SQL and Python skills are essential.