Senior Data Engineer - UAE

Cognite; Abu Dhabi; On-site; AED 300,000 - 460,000; Full time

Job summary

Cognite in Abu Dhabi seeks a Senior Data Engineer to design and implement scalable data pipelines using Cognite Data Fusion, Python, SQL and REST APIs. You will collaborate with data scientists, project managers, and engineers to deliver industrial data solutions that empower customers to make informed decisions.

The role requires 8+ years in a customer-facing, data-intensive environment, Kubernetes experience, and cloud familiarity (GCP/Azure).

Qualifications

• Bachelor's or Master degree in computer science or a related field (or equivalent experience).
• 8+ 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 (GCP and/or Azure).
• Domain knowledge in oil and gas or manufacturing is a plus.
• DevOps mindset with Git, CI/CD, and deployment environments.
• Enjoys cross-functional collaboration and independent problem solving.

Responsibilities

• Lead design and implementation of scalable data engineering solutions using Cognite Data Fusion.
• Drive integrations, extractions, data modeling, and analysis with Python/SQL/REST APIs.
• Create custom data models for data discovery and cleansing.
• Collaborate with data scientists, project managers, and solution architects to maximize value.
• Conduct code reviews and promote best practices for maintainable code.
• Support customers and partners in data engineering tasks with Cognite products.
• Contribute to Cognite tools and SDKs; translate customer needs into product work.

Skills

Python

SQL

REST APIs

Data pipelines

Cross-functional teamwork

Problem solving

DevOps mindset

Git CI/CD

Education

Bachelor's or Master's in Computer Science or related field

Tools

Cognite Data Fusion

Kubernetes

GCP/Azure cloud services

REST API integration tools

Job description

What Cognite is: Relentless to achieve.

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve 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.

We thrive in challenges, challenge assumptions, and execute with speed and ownership. If you view obstacles as signals to step forward — not backwards — you’ll feel right at home here.

Our moonshot is bold: unlock $100 B in customer value by 2035 and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together we will forge the path to a smarter, more connected industrial future.

How you’ll demonstrate Ownership

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 to deploy and optimize digital solutions that empower our clients to make informed business decisions.

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 to enable customers to achieve the full potential of our industrial data‑ops platform.
• Conduct code reviews and implement best practices to ensure high‑quality, 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 product pipeline.

The Impact you bring to Cognite

• Bachelor or Master degree in computer science or a related field; relevant experience can compensate for formal education.
• Minimum 8+ years of experience in a customer‑facing, data‑intense role.
• Experience delivering production‑grade data pipelines using Python, SQL, and REST APIs.
• Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure.
• Domain experience or knowledge of data sources within oil and gas or manufacturing is a plus.
• DevOps mindset with experience in Git, CI/CD, and deployment environments.
• Enjoys working in cross‑functional teams.
• Able to independently investigate and solve problems.
• Humility to ask for help and a desire to share knowledge with others.

Learn More About Us

• Impact 2025
• Cognite's Industrial AI: Moonshot
• Global presence spanning Phoenix, Houston, Oslo, Tokyo, Bengaluru, and Abu Dhabi.

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.