Common questions about this position
This information is not specified in the job description.
This information is not specified in the job description.
The role requires skills in designing scalable data engineering solutions using Cognite Data Fusion®, managing integrations, data extraction, modeling, and analysis with Cognite data connectors, SQL, Python/Java APIs, and REST, as well as creating custom data models for data discovery, matching, and cleaning.
Cognite's culture is defined by three core values: Impact (focused on results and measuring impact), Ownership (taking responsibility, inclusivity, and sharing successes and challenges), and Relentless (determined innovation, facing challenges head-on, and viewing setbacks as growth opportunities).
A strong candidate is passionate about using technology to solve complex problems, ready to tackle big challenges, advance their career, and collaborate with industry leaders, solution architects, data scientists, and project managers in a dynamic team focused on impactful digital solutions for energy, oil & gas, and manufacturing.
Industrial data management for asset-heavy industries
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.