Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field., Proficiency in data modeling, ETL processes, and data warehousing., Experience with SQL and programming languages such as Python or Java., Strong analytical skills and ability to work with large datasets..

Key responsibilities:

Design and implement scalable data pipelines and architectures.

Collaborate with cross-functional teams to understand data needs and deliver solutions.

Monitor and optimize data systems for performance and reliability.

Provide technical guidance and mentorship to junior data engineers.

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: @CogniteDataFacebook: @CogniteDataIG: @CogniteDataYoutube: /c/cognite

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