Artificial Intelligence (AI) Engineers
SubstackSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Oil & Gas, Manufacturing, EnergyIndustries
Requirements
- Experience designing, developing, and implementing data infrastructure and pipelines
- Ability to create robust data architectures that collect and connect data from diverse sources
- Proficiency in Cognite Data Fusion for scalable data engineering solutions
- Skills in integrations, data modeling, and analysis using Cognite data connectors, SQL, Python/Java, and REST APIs
- Experience developing custom data models for discovery, mapping, and cleansing
- Ability to collaborate with cross-functional teams (data scientists, project managers, solution architects)
- Capability to conduct code reviews and implement best practices for high-quality, maintainable code
- Potential to grow into a Tech Lead role, guiding and mentoring data engineers
Responsibilities
- Lead design and implementation of scalable data engineering solutions using Cognite Data Fusion
- Drive integrations, data modeling, and analysis using Cognite data connectors, SQL, Python/Java, and REST APIs
- Develop custom data models for discovery, mapping, and cleansing
- Collaborate with data scientists, project managers, and solution architects to deliver projects
- Conduct code reviews and implement best practices for high-quality, maintainable code
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the work location or remote policy for this Data Engineer role?
This role reports to the EMEA (Oslo) office and supports customer projects in MENA (Middle East and North Africa) and SEA (South East Asia). The Global Customer Success organization has a global presence in Oslo (Norway), Austin & Houston (Texas, USA), Tokyo (Japan), and Bengaluru, India.
What is the salary or compensation for this position?
This information is not specified in the job description.
What skills or experience are required for this Data Engineer position?
This information is not specified in the job description.
What are Cognite's company values and culture like?
Cognite's values are Impact (result-oriented, adding value to team, company, and customers), Ownership (embracing responsibility, fostering inclusivity), and Relentless (pursuit of innovation, facing challenges head-on). The Global Customer Success team focuses on helping customers achieve outcomes, innovation, thriving employees, and scalable projects.
What does the team structure look like for this role?
The Data Engineering team is part of Global Customer Success (GCS), which includes Project Managers, Data Scientists, Data Engineers, and Solution Architects specializing in Oil and Gas, Power & Utilities, and Manufacturing. The Oslo team has around 80 members including Data Engineers, Data Scientists, Solution/Enterprise Architects, and Project Managers, while Bengaluru will soon have 7 resources.
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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