Senior Data Engineer

Cognite - AI for Industry; Malaysia; On-site; MYR 180,000 - 240,000; Full time

Job summary

Cognite is seeking a Senior Data Engineer to advance industrial data solutions using Cognite Data Fusion. You will lead scalable data pipelines, integrate data via connectors, and collaborate with data scientists, project managers, and solution architects to deliver high-impact outcomes.

You will apply Python, SQL, and Rest APIs in a distributed environment with Kubernetes and cloud services, contributing to productized data platforms and SDKs while mentoring teammates and shaping customer-ready

Qualifications

• Bachelor or Master degree in computer science or similar.
• Minimum 5+ years of experience 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 such as GCP and/or Azure.
• Have a DevOps mindset, and experience with Git, CI/CD.
• Enjoys working in cross-functional teams.
• Able to independently investigate and solve problems.

Responsibilities

• Lead the design and implementation of scalable and efficient data engineering solutions using Cognite Data Fusion®.
• Drive and manage integrations, exractions, 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.

Skills

Python

SQL

Rest APIs

DevOps mindset

Git

CI/CD

Cross-functional teamwork

Education

Bachelor or Master degree in computer science or similar

Tools

Kubernetes

GCP

Azure

Cognite Data Fusion

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. We challenge assumptions. We 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 $100B 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, all dedicated to deploying and optimizing digital solutions that empower our clients to make informed business decisions.

If you’re passionate about leveraging technology to solve tough problems and are eager to impact the way industries operate, we want to hear from you. Let’s build the future of industrial data together.

• 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.

TheImpact you bring to Cognite

• Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
• Minimum 5+ years of 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
• Domain experience/knowledge of data sources within oil and gas & manufacturing industry is a plus
• 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

Learn more about us

• Impact 2025
• Cognite’s Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans 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.