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Our valuesImpact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.
Our core product, Cognite Data Fusion (CDF), is a leading industrial DataOps platform. Building on CDF, ATLAS AI is our innovative offering designed to deliver bold, customer-centric innovation powered by artificial intelligence.
The RoleAs a Data & Knowledge Engineer in the ATLAS AI Co-Innovation team, you will transform raw industrial data into structured, connected, and semantically rich formats that power next-generation AI workflows. Your work enables intelligent agents, search capabilities, and reasoning systems by providing the underlying data infrastructure needed for them to operate effectively. You’ll collaborate closely with AI engineers, solution engineers, and product teams to shape how data is prepared, modeled, and surfaced across time series, events, asset hierarchies, and knowledge graphs. Whether you're building contextualized time series pipelines or defining schemas and relationships for semantic understanding, you play a foundational role in delivering AI value in industrial settings.
This role demands strong data modeling expertise, familiarity with industrial data, and a mindset focused on structure, quality, and interoperability.
Responsibilities:
- Data Preparation & Integration Process and structure data from CDF and external sources, enabling its use in AI workflows and prototypes.
- Contextualization & Enrichment Apply asset models, event logic, and semantic layers to transform raw data into actionable insights.
- Time Series & Event Modeling Correlate temporal signals with operational events to provide rich, contextual data for AI use cases.
- Semantic Modeling Model and organize domain knowledge into scalable, reusable data structures that enable semantic search, reasoning, and tool chaining in industrial workflows.
- Cross-System Interoperability Ensure consistency and reusability of data structures across projects, following industrial data standards and best practices.
- Collaboration & Co-Innovation Work alongside AI engineers and solution teams to shape data requirements and deliver fit-for-purpose models and applications.
What we're looking for+ (must have skills):
- 3+ years of experience working with industrial data and/or semantic data systems.
- Experience working with Cognite Data Fusion.
- Experience with semantic modeling, including ontology/schema design and linking structured data across sources.
- Familiarity with graph databases and semantic search tools (e.g. RDF, SPARQL, etc.).
- Ability to bridge domain-specific industrial knowledge with modern data and AI requirements.
- Proven ability to write clean, maintainable, and scalable code, following engineering best practices for testing, version control, and review.
- A maker mindset with bias toward rapid iteration, showing rather than telling, and learning by doing.
Bonus skills:
- Knowledge of industry domain and data standards.
- Strong understanding of time series data modeling, contextualization, and event correlation.
- Experience with anomaly detection, signal quality processing, or temporal pattern recognition.
- Exposure to GenAI use cases involving contextual grounding, retrieval-augmented generation (RAG), or semantic search.
- Familiarity with metadata management, lineage tracking, or data catalogs.
Why choose Cognite? 🏆 🚀Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainabilityfor clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇
Apply today!If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions -
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