SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Cognite is an industrial digitalization company building AI and data solutions for the world's hardest, highest-impact problems. The company operates at the forefront of industrial AI with a comprehensive suite of capabilities including low-code AI agents.
As a Senior Data Engineer, you will design, develop, and implement data infrastructure and best-in-class pipelines that collect and connect data from various sources for industrial customers. You will be responsible for creating robust data pipelines and architectures while having the potential to evolve into a leadership role guiding and mentoring other data engineers.
Key responsibilities include:
- Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors, SQL, Python/Java, and REST APIs
- Create custom data models for data discovery, mapping, and cleansing
- Partner with Solution Architects to understand client requirements and define queries with subject matter experts
- Support customers and partners in conducting data engineering tasks with Cognite products
- Optimize for non-functional requirements including access control, security, disaster recovery, logging, and monitoring to reach necessary service maturity
- Collaborate with R&D and Product Management teams to turn customer needs into prioritized product offerings
- Mentor, coach, and help recruit junior Data Engineers
You will work in a flat organizational structure with direct access to decision-makers, collaborating across cross-functional teams to drive data-driven solutions that enable clients to make impactful business decisions.
REQUIREMENTS:
- Bachelor's or Master's degree in computer science or similar field (relevant experience can compensate for formal education)
- Minimum 6 years of experience in a customer-facing, data-intensive role
- Experience delivering production-grade data pipelines using Python, SQL, and REST APIs
- Experience with distributed computing such as Kubernetes and managed cloud services (GCP and/or Azure)
- DevOps mindset with experience in Git, CI/CD, and deployment environments
- Ability to work independently and solve problems
- Strong collaboration skills in cross-functional teams
- Humility to ask for help and willingness to share knowledge
PREFERRED:
- Experience from heavy asset industry
