Cognite

1 Job

760 Employees

About the Company

Cognite is a global industrial Software-as-a-Service (SaaS) leader, with an eye on the future and a drive to digitalize the industrial world.

We've created a new class of industrial software which allows asset-intensive industries to operate more sustainably, securely, and efficiently.

Our core software product is Cognite Data Fusion (CDF), designed to quickly contextualize OT/IT data to develop and scale company solutions. We use technology like hybrid AI, big data, machine learning, and 3D modelling to get there.

We serve oil and gas, power and utilities, renewable energy, manufacturing, and other heavy-asset industries. Our technology helps them operate through transitions, sustainably and to scale, and without sacrificing bottom lines. We believe data must be made accessible, insightful, and open.

In other words, we help our customers make data do more. And with that pave way for a full-scale digital transformation of heavy industry.

Founded in 2016, we now number 700 strong, including some of the best software developers, data scientists, designers, and 3D specialists in the field. Hailing from 50 nationalities, we're talented, curious, and fun to be around.

Get to know us better:
Life at Cognite: linkedin.com/company/cognitedata/life/
Make data do more: makedatadomore.cognite.com/
Twitter: @CogniteData
Facebook: @CogniteData
IG: @CogniteData
Youtube: /c/cognite

Listed Jobs

Company Name: Cognite
Job Title: Data Engineer
Job Description: Job Title: Data Engineer Role Summary: Design, implement, and optimize scalable data engineering solutions using Cognite Data Fusion and industry-standard tools. Collaborate with cross-functional teams to enhance data pipelines and support industrial data operations. Expectations: Demonstrate ownership and initiative in solving complex data challenges. Work collaboratively in cross-functional teams. Independently investigate and resolve technical issues. Maintain a DevOps mindset with proficiency in Git, CI/CD, and deployment environments. Foster a culture of knowledge sharing and continuous learning. Key Responsibilities: Lead design and implementation of scalable data engineering solutions; manage data integrations, extractions, modeling, and analysis; develop custom data models for discovery, mapping, and cleansing; collaborate with data scientists, architects, and project managers on project deliveries; perform code reviews and enforce best practices; support customers and partners with data engineering tasks; contribute to the development of official tools and SDKs. Required Skills: 3-5+ years in data engineering; proficiency in Python, SQL, REST APIs; experience with distributed computing (Kubernetes), cloud platforms (GCP, Azure). Required Education & Certifications: Bachelor's or Master's degree in Computer Science or related field; equivalent relevant experience acceptable.