Senior Data Engineer
- Level
- Senior
Not stated in the posting: salary, work type, visa.
Open. First seen 6 October 2026.
About the role
What Cognite is: Relentless to achieve
Cognite - AI for Industry's standard text
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
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.
- 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.
The Impact you bring to Cognite
- Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
- Minimum 8+ 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
- Domain experience/knowledge of data sources within oil and gas & manufacturing industry is a plus
- 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
Cognite - AI for Industry's standard text
Learn more about us
- 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.
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
What this role asks for
Standard for data engineering roles
CI/CD · GCP · SQL
Common in data engineering postings at any company.
In most of Cognite - AI for Industry's ads
Azure · Python
Named in most of its open postings, whatever the role.
74% of this description is written for the role. The rest is Cognite - AI for Industry's standard text, folded away below.
Read against Cognite - AI for Industry's other open postings on this site.
The team: Value Delivery HIRES STEADILY
This role is one of 19 open in Value Delivery. 12 were posted in the last 30 days and the oldest in May: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Azure (16 of 19), Python (14 of 19), SQL (14 of 19), REST (11 of 19), Java (10 of 19), AWS (8 of 19), GCP (8 of 19)
OTHER ROLES ON THIS TEAM
- Senior Project Manager posted Oct 9
- Data Engineer II posted Oct 5
- Senior Academy Engineer posted Oct 5
- Senior Project Manager posted Sep 30
- Senior Data Scientist posted Sep 29
- Senior Data Engineer posted Sep 25
- Data Engineer II posted Sep 25
- Solution Architect posted Sep 24
- Senior Data Engineer posted Sep 24
- Senior Solution Architect posted Sep 22
- Senior Solutions Architect posted Sep 22
- Academy Engineer - (Data Scientist- Training) posted Sep 9
- Senior Project Manager posted Sep 8
- Data Engineer posted Sep 2
- Senior Data Engineer - UAE posted Jul 14
- Senior Project Manager posted Jul 3
- Senior Project Manager posted Jun 30
- Senior Solution Architect posted May 20
From the team and dates on Cognite - AI for Industry's own job board.
Other openings for this role
2 postings for this role in India (Bengaluru) since 2 October 2026, 1 still open. None has been taken down and posted again.
- 6 October 2026 – open (this posting)
- 2 October 2026 – closed 6 October 2026
Salary context
101 other open postings titled Senior Data Engineer state a salary: median USD 150,400 to USD 200,000 a year.
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