Collaborate with product teams to unlock new user experiences by leveraging data insights. Engage with domain experts to analyze real-world engineering data and build data quality solutions that inspire customer confidence. Additionally, identify opportunities to develop self-service tools that streamline data onboarding and make it more accessible for our users.



Our Scandinavian-based client  was established with the mission to fundamentally transform the execution of capital projects and operations. Designed by industry experts for industry experts, Client’s platform empowers users to digitally search, visualize, navigate, and collaborate on assets. Drawing on 30 years of software expertise and 180 years of industrial legacy as part of the renowned Scandinavian business group, Client plays an active role in advancing the global energy transition. Design, build, and maintain data pipelines using Python

Collaborate with an international team to develop scalable data solutions

Develop and maintain smart documentation for process consistency, including the creation and refinement of checklists and workflows

Write integration tests to ensure the quality and reliability of data services

Minimum of 3-4 years as data engineer, or in a relevant field

Python Proficiency: Advanced experience in Python, particularly in delivering production-grade data pipelines and troubleshooting code-based bugs.

Cloud: Familiarity with cloud platforms (preferably Azure)

Experience with Databricks, Snowflake, or similar data platforms

Database Skills: Knowledge of relational databases, with proficiency in SQL

Big Data: Experience using Apache Spark 

English Proficiency: B2 level or higher

Interpersonal Skills: Strong collaboration abilities, experience in an international team environment, willing to learn new skills and tools, adaptive and exploring mindset 



Experience with document and graph databases

~3 D Modeling:   Familiarity with 3 D matching and model refinement processes is a plus

~ Flexible working format - remote, office-based or flexible

A competitive salary and good compensation package

Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

Active tech communities with regular knowledge sharing