Senior Data Engineer
| Job Type | Perm |
| Area | Oslo, Norway |
| Sector | Energy |
| Salary | GBP 50,000 - 100,000 Annual Salary |
| Start Date | ASAP |
| Advertiser | John Abbott |
| Job Ref | 25490 |
| Job Views | 191 |
- Description
- Senior Data Engineer
Job Description:
Join a rapidly expanding community of data scientists, data engineers and operations engineers who are together developing foundational systems to deliver the highest standards solutions. Be part of the Vilnius hub journey, with currently 20 colleagues and rapidly growing – join us helping the world navigate the energy transition!
What you will be doing:
• Using your technical acumen to revolutionize our solutions
• Rolling up your sleeves, building prototypes, designing solution architecture and doing whatever it takes to push the quality bar higher.
• Conduct hands-on research, build prototypes for optimal solutions.
• Collaborating with exceptional colleagues to enhance and deliver data-driven solutions.
• Leveraging solution integration skills vs legacy fine-tuning.
• Pushing the boundaries of technical expertise to drive innovation
What you won't be doing:
• Spending your day delegating tasks
• Waiting time in pointless meetings
• Managing in the traditional sense
• Active Recruiting or evaluating of colleagues
• Repetition work
• Maintaining crumbling infrastructure in an ever-ending bug storm
What you should have:
• Demonstrated strong technical foundation with 3+ years of experience as a Data Engineer or in a related field.
• Extensive cloud platform experience (Azure or AWS) for scalable data processing
• Experience in data platform technologies
• In-depth knowledge in distributed computing principles, data architecture, and data modeling principles
• Experience with diverse database systems (RDBMS, NoSQL, Time-Series, Spatial, NewSQL, Distributed)
• Strong team player with the ability to work within a collaborative environment of excellence
• Proficient communicator (written and verbal in English) explaining complex concepts and architectures across technical teams.
• Fundamental understanding of ML/AI principles.
Great if you have:
• 5+ years of experience as a Data Engineer or in an adjacent field, demonstrating a strong technical foundation.
• Mastery of self-learning - type of person who applies learning science to your own learning journey.
• In-depth knowledge and experience in projects involving satellite data, geospatial systems, knowledge grabs, graph databases, or large-scale text analysis
• Deep understanding of graph databases and their application in spatial data infrastructure.
• Experience within cloud computational processing systems
• Experience on data governance and security practices are implemented effectively.
• DevOps practices to promote automation and infrastructure-as-code together with Operations Team
• Experience within Data Science or strong collaboration with complex ML/AI projects
• Technical expertise with data models, data mining, and segmentation techniques
Why us?
• Lean, flat, non-hierarchical structure that will enable you to impact products and workflows
• A diverse, inclusive, meritocratic culture
• Opportunity to challenge your knowledge with likeminded colleagues possessing a drive to change the World
• Community driven with the desire to create and share to have an impact globally
• Keen to challenge your skills and deepen existing expertise while learning acquire new.
• A global and quickly expanding international business culture with more than 80 nationalities.
• Inclusive and supportive working environment with a focus on a culture of sharing
• Opportunity to join a globally leading energy knowledge house
• Flexible work environment
