Senior Data Engineer



Data Science
Oslo, Norway
Posted on Saturday, May 11, 2024
About Cognite and Cogniters
Cognite is a global leader in industrial software with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms. We enable enterprises to harness complex industrial data and transform it into actionable insights, driving efficiency and innovation.
Our values:
Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourself “ How do I add value to my team, to my company, and- most importantly - to our customers”?
Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and share responsibilities for challenges and success.
Relentless: Cogniters are relentless in our pursuit of innovation, We are determined and deliverbate (never ruthless or reckless), facing challenges head- on and viewing setbacks as opportunities for growth.
About Global Customer Success and the role
In handling vast amounts of industrial data, we provide unique opportunities for our team to work on large-scale, impactful projects. This immense data management is central to our mission, ensuring we offer real-time, data-driven decisions across critical sectors.
We're looking for a Senior Data Engineer who is ready to tackle big challenges and advance their career. In this role, you'll join a dynamic team committed to creating cutting-edge solutions that significantly impact critical industries such as Power & Utilities, Energy, and Manufacturing. You'll collaborate with industry leaders, solution architects, data scientists and project managers, all dedicated to deploying and optimizing digital solutions that empower our clients to make informed business decisions.
If you're passionate about leveraging technology to solve tough problems and are eager to impact the way industries operate, we want to hear from you. Let's build the future of industrial data together.

A typical day as a Cogniter will contain the following tasks & responsibilities

  • Lead the design and implementation of scalable and efficient data engineering solutions using our platform Cognite Data Fusion®.
  • Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors and SQL, Python/Java and Rest APIs.
  • Create custom data models for data discovery, mapping, and cleansing.
  • Collaborate with data scientists, project managers and solution architects engineers on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform.
  • Conduct code reviews and implement best practices to ensure high-quality and maintainable code and deliveries.
  • Support customers and partners in conducting data engineering tasks with Cognite products.
  • Contribute to the development of Cognite’s official tools and SDKs.
  • Collaborate with our Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings.

We believe most of these should match your experience

  • Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
  • Minimum 5 years of experience in a customer-facing Data intense role
  • Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
  • Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
  • Have a DevOps mindset, and experience with Git, CI/CD, deployment environments
  • Enjoys working in cross-functional teams
  • Able to independently investigate and solve problems
  • Humility to ask for help and enjoy sharing knowledge with others
  • Don’t meet every single requirement? We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Why choose Cognite? 🏆 🚀

A snapshot of our many perks and benefits as a Cogniter

  • Receive competitive salary and benefits, including a pension plan, insurance, parental benefits, and much more.
  • Join a team of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝.
  • A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
  • Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
  • Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
  • Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
  • Gain perks like a paid mobile telephone subscription and broadband connection.
  • Get access to extended private health services with Aker Care.
  • Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by our chefs who specialise in options for both vegetarians and non-vegetarian, salads and hot soups every day
  • Stay fueled between meals with snacks and drinks on the house.
  • Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
  • We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.
  • A pet lover? Get the chance to meet Spot 🐶!
Apply today!
If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today!
We welcome candidates of all backgrounds and identities to join our team.
Please do not hesitate to contact our Talent Acquisition team if you have any questions, Oda Danielsen at