Data Engineering Intern (summer 2026) at Cognite

Oslo, Oslo, Norway

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Oil & Gas, Chemicals, Pharmaceuticals, Manufacturing, EnergyIndustries

Requirements

Within 12 months of completing an undergrad/grad degree in a relevant field (Computer Science, Data Science, Math, Petroleum/Electrical/Mechanical Engineering)
Strong technical competency in Python, SQL, and GitHub
Drive demonstrated through self-training or personal projects
Customer empathy shown through project experience
Strong teamwork and collaboration skills

Responsibilities

Wrangling connected industrial data (1000+ sensors, billions of data points, work orders, log entries, etc.) in CDF using Python SDK, SQL, and Apache Spark Data Source
Uncover hidden insights and opportunities in complex industrial data through data cleansing and exploratory data analysis
Create custom data models for data discovery, mapping, and cleansing
Design and implement agents using the ATLAS AI workbench for enabling Industrial AI
Collaborate with data scientists, project managers, and solution architects on project deliveries to enable customers to achieve the full potential of the industrial dataops platform
Contribute to the foundation of the technology by building reusable code and libraries for the entire engineering team
Optimize applications for maximum speed and scalability
Present work to the rest of Cognite together with the team at the end of the internship

Skills

Data Engineering

Data Modeling

Data Visualization

Industrial Data

Cognite Data Fusion

SQL

Python

ETL

Cognite

Industrial data management for asset-heavy industries

About Cognite

Cognite specializes in managing industrial data and facilitating digital transformation for asset-heavy industries like oil and gas, power and utilities, and manufacturing. Its main product, Cognite Data Fusion, integrates and organizes data from various sources, making it easier for businesses to analyze and utilize this information effectively. This process, known as data contextualization, enhances the relevance of data for better decision-making. Cognite operates on a software-as-a-service (SaaS) model, allowing clients to subscribe to its software, which provides a consistent revenue stream and access to ongoing updates. Additionally, Cognite offers consulting services to assist clients in optimizing their use of the software. The company's goal is to help industries improve their operations through better data management and digital solutions.

Bærum, NorwayHeadquarters

2016Year Founded

$219.2MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Industrial & Manufacturing, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Competitive Compensation + 401(k) with employer matching

Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents

Unlimited PTO + flexibility to enjoy it

Paid Parental Leave Program

Learning & Development Stipends

Global Mobility & Exchange Program

Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices

Risks

Emerging industrial AI startups pose a threat to Cognite's market share.

Geopolitical tensions could disrupt operations in key regions like the Middle East.

Reliance on cloud providers introduces risks related to data security and outages.

Differentiation

Cognite Data Fusion integrates and contextualizes data for asset-heavy industries.

Cognite offers a subscription-based SaaS model, ensuring continuous software updates.

Cognite's solutions enhance safety, sustainability, and efficiency in industrial operations.

Upsides

Cognite's partnership with Google Cloud enhances scalability and security for data management.

The launch of Cognite Embedded opens new innovation avenues for industrial software builders.

Cognite's joint venture with Saudi Aramco expands its influence in the MENA region.

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