What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As a Senior Data Engineer in Cognite, your role will be to create and deliver solutions to the biggest problems challenging our industrial customers today by designing, developing and implementing data infrastructure and best-in-class pipelines that collect and connect data from various data sources. In this role, you will not only be responsible for designing and implementing robust data pipelines and architectures but also have the potential to evolve into a Lead, guiding and mentoring a team of data engineers. You will collaborate closely with cross-functional teams, driving data-driven solutions that enable our clients to make impactful business decisions.
The Impact you bring to Cognite
- Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors, SQL, Python/Java and Rest APIs
- Create custom data models for data discovery, mapping, and cleansing
- Partner with Solution Architects to understand client requirements and define queries with subject matter experts
- Support customers and partners in conducting data engineering tasks with Cognite products
- Optimize for non-functional requirements (E.g. access control, security, disaster recovery, logging, monitoring) to reach necessary service maturity for each solution
- Collaborate with our R&D and Product Management teams to turn customer needs into a prioritized pipeline of product offerings
- Mentor, coach and help recruit junior Data Engineers
- Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
- Minimum 6 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
Preferred Experience
- Experience from heavy asset industry can be nice to have
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.