---
title: 'Data Engineer at Cognite - AI for Industry'
canonical: 'https://feeny.ai/job/data-engineer-cognite-ai-for-industry-bengaluru-dqzka9ww2rth'
type: 'job'
last_seen: '2026-09-09'
---

# Data Engineer at Cognite - AI for Industry

- **Company:** Cognite - AI for Industry
- **Location:** Bengaluru, India
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.eu.greenhouse.io/cognite/jobs/4941489101

## Job description

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](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference) 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 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 4+ 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

Learn more about us

- [Impact 2025](https://www.cognite.com/en/resources/blog/key-highlights-from-impact-2025)
- [Cognite's Industrial AI: Moonshot](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference)
- 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.

## About Cognite - AI for Industry

## Company Overview
- **One-liner**: Cognite delivers industrial AI software that unifies siloed operational data to help energy, process manufacturing, and other industrial companies improve production efficiency and scale AI solutions.
- **Entity Type**: Private (backed by Aker ASA, total funding of $338.9M)
- **Headquarters**: Tempe, Arizona, United States (global HQ; also Lysaker, Norway)
- **Founded**: 2016
- **Founders**: Not publicly available (co-founded by a team with industrial and tech backgrounds)

## Core Business
- **Primary industries**: Industrial AI, Industrial DataOps, Energy (oil & gas, renewables), Process Manufacturing, Power & Utilities
- **Target customers**: B2B – enterprise industrial companies (energy, manufacturing, chemicals, etc.)
- **Mission or purpose**: “Power a high-tech, sustainable, and profitable industrial future” — enabling industrial teams to move faster, work safer, and achieve more with AI.

## Products & Services
- **Cognite Data Fusion®**: Open Industrial DataOps platform that contextualizes operational, engineering, and IT data into a real-time Industrial Knowledge Graph, making data accessible for AI and analytics. (SaaS/platform)
- **Cognite Atlas AI™**: Low-code industrial AI agent workbench for building and deploying agentic AI to automate complex operational tasks. (AI agent platform)
- **Cognite Flows™**: Tool for building and scaling production-ready industrial workflows 100x faster. (Workflow automation)
- **Composable reference applications**: Pre-built solutions for production optimization, smart maintenance, workforce digitalization, and sustainability.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding $338.9M (5 rounds); Annual revenue SEK 790.7M (approx. $75M based on current exchange rates, but exact USD not given)
- **Notable Investors/Partners**: Parent company Aker ASA; partners include Microsoft, Aker BP, Sopra Steria, Omny, Aize, and others. Recognized as a Leader in IDC MarketScape for Industrial DataOps Platforms.
- **Growth Signals**: 663 employees (+20.9% YoY); 102 active job postings (+67.2% YoY); LinkedIn followers 103,713 (+65.8% yearly); committed to delivering $100B in customer value by 2035; customers report 30-80% reduction in maintenance time and 4-month deployment cycles.

## Competitive Advantages
- **Industrial domain expertise**: Deep specialization in heavy industry (energy, process manufacturing) with a platform built for complex OT/IT data integration.
- **Open ecosystem**: Works with any cloud, any data source, any LLM, enabling flexible partnerships and off-the-shelf integrations.
- **Low-code AI agents**: Cognite Atlas AI allows domain experts to build AI agents without deep coding, speeding adoption.
- **Proven ROI**: Customers report 10x productivity improvements, rapid scaling (e.g., from pilot to 9 facilities in months), and significant downtime reduction.

## Strategic Focus
- **Scaling industrial AI**: Accelerate time-to-value with pre-built solutions, AI agents, and use-case best practices.
- **Global expansion**: Growing presence in Americas (Tempe, Austin, Houston), Europe (Oslo), Asia (Tokyo, Bengaluru).
- **Customer value commitment**: Ambitious goal of $100B in customer value by 2035.
- **Partner ecosystem**: Deepening integrations with cloud providers, system integrators, and industrial software vendors.

## Why Work Here
- **Culture**: Values of Relentless (innovation, learning from setbacks), Ownership (shared responsibility, inclusivity), and Impact (result-oriented, adding value to team and customers). Described as “smart, passionate builders, and problem solvers.”
- **Remote/Hybrid/Office**: Hybrid model with offices in Tempe, Austin, Houston, Oslo, Tokyo, Bengaluru. Some roles listed as “USA (remote)” indicating flexibility for certain positions.
- **Diversity**: Employees from 60+ countries; global team of engineers, product managers, domain experts.
- **Perks & Growth**: Opportunity to work on “biggest impact on our planet” — industrial AI at scale; strong investment in R&D and career development; fast-growing company with 100+ open roles.
- **Engineering culture**: Emphasis on AI, data engineering, machine learning, and full-stack development; roles like Senior AI Engineer, ML Engineer, Data Engineer, Applied AI Engineer.

## Sources
1. [cognite.com](https://www.cognite.com/en)
2. [cognite.com](https://www.cognite.com/en/company/about-us-cognite)
3. [cognite.com](https://www.cognite.com/en/company/careers)
4. [linkedin.com](https://www.linkedin.com/company/cognitedata)
5. [cbinsights.com](https://www.cbinsights.com/company/cognite)

## Other roles at Cognite - AI for Industry

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- [Data Engineer / Data Scientist - Academy](https://feeny.ai/job/data-engineer-data-scientist-academy-cognite-ai-for-industry-bengaluru-0wfdp729e4mw) — Bengaluru, India
- [Project Management Lead](https://feeny.ai/job/project-management-lead-cognite-ai-for-industry-bengaluru-180xhz2y2cjx) — Bengaluru, India
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- [Principal Software Engineer](https://feeny.ai/job/principal-software-engineer-cognite-ai-for-industry-phoenix-p4fa9a2vnnzx) — Phoenix, AZ
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