Remote Data Engineer for Big Data Pipelines and Analytics

Plantrs Ltd.; Denmark; Remote; DKK 523,000 - 747,000; Part time

Job summary

Plantrs Ltd. is seeking an experienced and detail-oriented Remote Data Engineer on a contract basis. Design, build, and maintain large-scale data processing architectures to support business intelligence and decision-making.

This role offers freedom to work from any location, collaborating with data scientists and analysts to ensure data integrity and efficient pipelines. Strong SQL and Python/Java/Scala, plus experience with Hadoop, Spark, Kafka, Snowflake or Redshift are required.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Proven experience as a Data Engineer or similar role.
• Strong SQL skills and proficiency in Python/Java/Scala.
• Experience with big data tools (Hadoop, Spark, Kafka) and data warehousing (Snowflake/Redshift).

Responsibilities

• Develop, test, and maintain architectures to support large-scale data processing.
• Ensure data integrity, accuracy, and reliability across systems.
• Collaborate with data scientists and analysts to prepare readable data formats.
• Optimize data pipelines and storage architectures for performance.
• Troubleshoot data issues and work in a remote environment.
• Stay current with industry trends and new technologies.

Skills

SQL database design

Python

Java

Scala

Big data tools

Data warehousing

Analytical thinking

Communication

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Hadoop

Spark

Kafka

Snowflake/Redshift

Job description

Plantrs Ltd. is seeking an experienced and detail-oriented Remote Data Engineer on a contract basis. Design, build, and maintain large-scale data processing architectures to support business intelligence and decision-making.

This role offers freedom to work from any location, collaborating with data scientists and analysts to ensure data integrity and efficient pipelines. Strong SQL and Python/Java/Scala, plus experience with Hadoop, Spark, Kafka, Snowflake or Redshift are required.