Cognite

Industrial data platform with AI

Data Engineer

Data EngineeringUpdated on Nov 14

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

A bachelor's or master's degree in computer science or a similar field is expected, although relevant experience can compensate for formal education.
At least 3 years of experience in a customer-facing, data-intensive role.
Experience delivering production-grade data pipelines using technologies such as Python, SQL, and REST APIs.
Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure.
Experience with Git, CI/CD, and deployment environments.
Ability to independently investigate and solve problems.

Responsibilities

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

Desired Qualifications

Domain experience or knowledge of data sources within the oil and gas and manufacturing industries is a plus.
Enjoy working in cross-functional teams.
Show humility in asking for help and enjoy sharing knowledge with others.

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. Our Moonshot is bold: unlock $100B in customer value by 2035, and redefine how global industry works.

How you’ll demonstrate Ownership

We're looking for a 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 3+ 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

Why Cognite

You will work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve problems that actually matter at scale — not hypothetical ones. You'll join a collaborative, fast-moving environment where curiosity and ownership are the norm, not the exception. If you want delivery work you can point to and be proud of, we'd love to hear from you.

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.

About the Company

Cognite

Industrial data platform with AI

Cognite provides cloud-based data and AI platforms for industrial companies to digitize and optimize operations. Its flagship Cognite Data Fusion connects OT, IT, and engineering data, unifying sensor data, maintenance logs, and 3D models into a real-time view of assets to improve performance and safety. Cognite Atlas AI is a low-code platform that lets engineers build AI agents for predictive maintenance, anomaly detection, and production optimization without deep coding. The company differentiates itself through deep cross-domain data integration for asset-heavy industries and a scalable cloud environment to accelerate industrial digitalization and deliver measurable value.

Company size: 501-1,000
Company stage: Acquired
Total funding: $225.3M
Headquarters: Tempe, AZ
Founded: 2016

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