Data Engineer

Cognite; Toulouse; Sur place; EUR 65 000 - 90 000; Plein temps

Résumé du poste

Cognite is hiring a Data Engineer to join our team in Toulouse, driving scalable data pipelines and cognite data fusion deployments. You will collaborate with data scientists, engineers and project managers to deliver digital solutions that empower clients in power, utilities, and manufacturing sectors.

You will work across integrations, data modeling and APIs, applying a DevOps mindset and contributing to Cognite’s tooling and SDKs.

Qualifications

• Minimum 3-5 years 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 like GCP and/or Azure.

Responsabilités

• Design and implement scalable data engineering solutions using Cognite Data Fusion.
• Drive integrations, data modeling, extraction, and analysis via Cognite connectors and APIs.
• Create custom data models for discovery, mapping and cleansing.
• Collaborate with data scientists, project managers and architects on deliveries.
• Conduct code reviews and implement best practices for high-quality code.
• Support customers and partners in data engineering tasks with Cognite products.
• Contribute to Cognite tools and SDKs.
• Turn customer needs into a prioritized product backlog.

Connaissances

DevOps mindset

Cross-functional teamwork

Problem solving

Humility and knowledge sharing

Formation

Bachelor or Master in CS or equivalent

Outils

Git

CI/CD

REST APIs

Python

SQL

Kubernetes

GCP

Azure

Description du poste

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.

What Cognite is Relentless to achieve

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

How you’ll demonstrate Ownership

We're looking for a Data Engineer who is ready to tackle big challenges and advance their career. In this role, you'll join a dynamic team committed to creating cutting-edge solutions that significantly impact critical industries such as Power & Utilities, Energy, and Manufacturing. You'll collaborate with industry leaders, solution architects, data scientists and project managers, all dedicated to deploying and optimizing digital solutions that empower our clients to make informed business decisions.

• Lead the design and implementation of scalable and efficient data engineering solutions using our platform Cognite Data Fusion®.
• Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors and SQL, Python/Java and Rest APIs.
• Create custom data models for data discovery, mapping, and cleansing.
• Collaborate with data scientists, project managers and solution architects engineers on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform.
• Conduct code reviews and implement best practices to ensure high-quality and maintainable code and deliveries.
• Support customers and partners in conducting data engineering tasks with Cognite products.
• Contribute to the development of Cognite’s official tools and SDKs.
• Collaborate with our Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings.

The Impact you bring to Cognite

• Have a DevOps mindset, and experience with Git, CI/CD, deployment environments
• Enjoys working in cross-functional teams
• Able to independently investigate and solve problems
• Humility to ask for help and enjoy sharing knowledge with others

Required Qualifications

• Minimum 3-5 years of relevant experience in a customer-facing Data intense role
• Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
• Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure

Preferred Experience

• Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.