Engineer II - Data Engineering m/f/d at Danfoss
København, Region Hovedstaden, Denmark -
Full Time


Start Date

Immediate

Expiry Date

21 Mar, 25

Salary

0.0

Posted On

14 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Apache Spark, Test Automation, Data Products, Scalability, Kafka, Docker, Kubernetes, Python, Integration, Readability, Sql

Industry

Information Technology/IT

Description

ARE YOU PASSIONATE ABOUT LEVERAGING TECHNOLOGY FOR A GREATER GOOD?

Join us as a Data Engineer if you’re eager to make impactful contributions in a field where technology meets sustainability. We’re looking for professionals who are committed to our cause of saving energy and reducing food waste through digital solutions.

BACKGROUND & SKILLS

  • Understanding of software engineering principles: scalability, extensibility, readability, testability etc.
  • Proficiency in SQL and Python
  • Experience in building data products and deploying data pipelines
  • Familiarity with Docker, Kubernetes, and Azure Cloud
  • Experience with test frameworks like pytest, unittest etc. and data quality frameworks like Great Expectations, Griffin, Tero etc. and writing test automation (unit, integration, end to end, contract tests)
  • Experience in any of the Data orchestration tools Mage, Airflow, Dagster etc.
  • Familiarity with Stream processing platforms like Kafka, Flink, Benthos or similar would be a plus
  • Knowledge of Apache Spark and Iceberg
Responsibilities

Given the expanding scope of our projects, the new team member should have Software engineering background with 3 to 5 years’ experience in the data engineering field. You would be responsible for developing data products needed for the new Domain-driven based design of data landscape and help with the Data Lake set up for future ML projects.

Your day-to-day responsibilities will include:

  • Developing and optimizing scalable data pipelines and data products.
  • Collaborating with other teams to define, design, and ship new features.
  • Ensuring great code quality that helps our customers solve real world problems.
  • Receiving feedback from our users and making our product even better.
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