Data Engineer

Cognite; Pau; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A global SaaS leader in Pau is seeking a Senior Data Engineer to design and implement data engineering solutions. The ideal candidate has over 5 years of experience in data-intensive roles, strong proficiency in SQL and Python, and a DevOps mindset. Join a diverse team focused on shaping the future of industrial data solutions. This position offers a modern work environment and opportunities for professional growth.

Prestations

Diversity, Equity, and Inclusion focus

Modern and fun working environment

Flat structure with direct access to decision-makers

Opportunity to work on ambitious projects

Engage directly with teams and partners

Qualifications

• Minimum 5 years of relevant experience in a customer-facing Data intense role.
• Experience delivering production-grade data pipelines using Python, SQL and Rest APIs.
• DevOps mindset, with experience in CI/CD and deployment environments.

Responsabilités

• Lead the design and implementation of scalable and efficient data engineering solutions.
• Drive integrations, data modeling, and analysis using Cognite data connectors.
• Collaborate on project deliveries to enable customers to achieve dataops potential.

Connaissances

Data pipeline development

SQL

Python

Kubernetes

Problem-solving

Formation

Bachelor or Master degree in computer science

Outils

GCP

Azure

Git

Description du poste

Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform.

We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors.

Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

About The Position

We're looking for a Senior 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.

A typical day as a Cogniter will contain the following tasks & responsibilities

• 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.

We Believe Most Of These Should Match Your Experience

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

Perks and Benefits

• Join an organization of 70 different nationalities with Diversity, Equality and Inclusion (DEI) in focus
• A highly modern and fun working environment with sublime culture across the organization
• Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
• Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
• Join our HUB to be part of the conversation directly with Cogniters and our partners.

We are 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; everyone we hire will receive the same level of consideration for training, compensation, and promotion.