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For Companies At a Glance
- Tasks: Design and build innovative solutions on the Cognite Data Fusion platform.
- Company: Join a forward-thinking tech company in Central London with a hybrid work model.
- Benefits: Competitive day rate, flexible contract, and opportunities for professional growth.
- Why this job: Make a real impact on cutting-edge data and AI projects while collaborating with experts.
- Qualifications: Experience with Cognite Data Fusion and strong data modelling skills required.
- Other info: Dynamic team environment with a focus on cloud-native architectures and AI enablement.
The predicted salary is between 54000 - 72000 ÂŁ per year.
Contract Cognite Data Fusion Platform Engineer
Location: Central London (Hybrid - 2-3 days per week onsite)
Contract: Initial 6 Months (Inside IR35)
Start: 2-4 Weeks
Day Rate: ÂŁ450 Inside IR35
Overview
We are looking for an experienced Cognite Data Fusion (CDF) Platform Engineer to support the design, build, and evolution of a cloud‑native data and AI platform. This role sits at the intersection of data engineering, knowledge graph modelling, and AI enablement, with Cognite as the core platform. You will work closely with engineers, product teams, and domain experts to model complex data, integrate multiple sources, and enable downstream analytics and AI/agent‑based use cases. This is a hands‑on contract role requiring strong Cognite experience and the ability to operate in a hybrid, collaborative environment.
Key Responsibilities
- Design, build, and maintain solutions on Cognite Data Fusion, using Python / JS / .NET SDKs.
- Develop and manage data models, spaces, and views, leveraging Cognite's knowledge graph to represent complex domains.
- Integrate data from multiple source systems into Cognite, building reliable data ingestion pipelines and workflows.
- Collaborate with stakeholders to translate business and domain requirements into scalable data and platform designs.
- Support AI and agent‑based architectures, enabling AI systems to query and reason over Cognite knowledge graphs.
- Contribute to cloud architecture decisions, ensuring secure, scalable, and cost‑effective solutions.
- Apply strong software engineering practices, including version control, testing, CI/CD, and documentation.
- Support ongoing platform improvements, troubleshooting, and optimisation.
Required Skills & Experience
- Hands‑on experience with Cognite Data Fusion in a production environment.
- Strong experience using Cognite SDKs (Python preferred; JS/.NET beneficial).
- Proven background in data modelling, including: Spaces, Views, Knowledge graphs / semantic models.
- Experience building data integrations and workflows across complex systems.
- Solid understanding of cloud‑native architectures (AWS, Azure, or GCP).
- Strong software engineering fundamentals, not just configuration‑based data work.
- Ability to work closely with non‑technical stakeholders and domain experts.
Nice to Have
- Experience enabling AI, LLM, or agent‑based solutions using knowledge graphs or RAG‑style architectures.
- Background in industrial, energy, manufacturing, or asset‑heavy domains.
- Prior experience in consulting or platform delivery roles.
- Familiarity with DevOps practices and automated deployments.
Working Pattern
- Hybrid role: 2-3 days per week onsite in Central London
- Remaining days remote
- Collaborative, cross‑functional team environment
Why This Role
- Work on a cutting‑edge data and AI platform with real business impact.
- High level of ownership and influence over platform design.
- Contract flexibility with a long‑term roadmap.
- Exposure to advanced Cognite, knowledge graph, and AI use cases.
Cognite Data Fusion Engineer employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cognite Data Fusion Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering or AI. Building relationships can lead to job opportunities that aren't even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Cognite Data Fusion. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of data modelling and cloud architectures. Practice common interview questions and be ready to discuss how you've tackled challenges in previous roles. Confidence is key!
✨Apply Through Us!
Don't forget to check out our website for the latest job openings. Applying directly through us not only gives you access to exclusive roles but also shows you're serious about joining our team. Let's get you that dream job!
We think you need these skills to ace Cognite Data Fusion Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with Cognite Data Fusion and relevant SDKs. We want to see how your skills align with the role, so don’t be shy about showcasing your data modelling and integration expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background in data engineering and AI can contribute to our team. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any projects involving Cognite or similar platforms, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Norton Blake
✨Know Your Cognite Inside Out
Make sure you brush up on your Cognite Data Fusion knowledge. Familiarise yourself with the SDKs, especially Python, and be ready to discuss your hands-on experience. Prepare examples of how you've designed and built solutions using Cognite in previous roles.
✨Showcase Your Data Modelling Skills
Be prepared to talk about your experience with data modelling, including spaces, views, and knowledge graphs. Think of specific projects where you’ve integrated complex data sources and how you approached those challenges. This will demonstrate your ability to handle the responsibilities of the role.
✨Collaborate Like a Pro
Since this role involves working closely with engineers and non-technical stakeholders, practice explaining technical concepts in simple terms. Be ready to share examples of how you've successfully collaborated in cross-functional teams to translate business requirements into technical solutions.
✨Emphasise Your Software Engineering Practices
Highlight your strong software engineering fundamentals. Discuss your experience with version control, testing, CI/CD, and documentation. This will show that you not only understand the technical aspects but also value best practices in software development.
