Junior Strong Data Engineer (Databricks)

Our Client is a company established to transform the execution of capital projects and operations. The platform empowers users to digitally search, visualize, navigate, and collaborate on assets. The company has 30 years of software expertise and 180 years of industrial legacy as part of a Scandinavian business group, operating from Norway, the UK, and the U.S.

• Minimum of 1-2 years as data/software engineer or in a relevant field.
• Coding experience in Python, particularly in delivering/maintaining data pipelines and troubleshooting code-based bugs.
• Experience working with large codebases, IDE, and Git.
• Structured approach to data insights and diagnostic skills for data-related issues.
• Familiarity with cloud platforms, preferably Azure.
• Knowledge of Databricks, Snowflake, or similar data platforms.
• Knowledge of relational databases and working experience with SQL.
• Experience using Apache Spark/PySpark is a plus.
• Experience in creating and maintaining structured documentation.
• Proficiency in utilizing testing frameworks (pytest) to ensure code reliability and maintainability.
• Experience with Git and Gitlab or equivalent.
• English proficiency at B2 level or higher.
• Strong collaboration abilities, willingness to learn new skills and tools, adaptive and exploring mindset.

Nice to have:

• Knowledge of Docker and Kubernetes.
• Ability to travel abroad once/twice a year for on-site team building (Oslo, Norway).

• Design, build, and maintain data pipelines using Python.
• Collaborate with an international team to develop scalable data solutions.
• Conduct in-depth analysis and debugging of system bugs (Tier 2).
• Develop and maintain smart documentation for process consistency, including the creation and refinement of checklists and workflows.
• Set up and configure new tenants, collaborating closely with team members to ensure smooth onboarding.
• Write integration tests to ensure the quality and reliability of data services.
• Work with Gitlab to manage code and collaborate with team members.
• Utilize Databricks for data processing and management.

• Flexible working hours and remote work possibility.
• Life insurance.
• English lessons.
• Active tech community.
• Referral program.
• Mentoring program.
• Training budget.
• Compensation of certifications.
• International team.
• Cafeteria.
• Modern office.
• Kitchen.
• Free coffee.
• Friendly atmosphere.