Senior Data Engineer

Greenhouse Software, Inc.; Malaysia; On-site; MYR 180,000 - 250,000; Full time

Job summary

Cognite invites a Senior Data Engineer to join a dynamic team pushing the boundaries of industrial data. In this role, you will design scalable data pipelines on Cognite Data Fusion, tackle data integrations, and deliver solutions for customers in energy, manufacturing, and utilities.

Collaborate with data scientists, solution architects, and project managers to deploy and optimize digital solutions that drive business decisions.

Qualifications

• 5+ years in a customer-facing data-intensive role.
• Experience building production-grade data pipelines with Python, SQL, and REST APIs.
• Experience with distributed computing (Kubernetes) and cloud services (GCP/Azure).

Responsibilities

• Lead the design and implementation of scalable data engineering solutions on Cognite Data Fusion.
• Drive integrations, data modeling, and analysis using connectors and Python/Java/REST APIs.
• Collaborate with data scientists, project managers and solution architects to deliver data products.
• Review code and promote best practices for high-quality software.
• Support customers and partners in data engineering tasks with Cognite products.
• Contribute to development of Cognite’s SDKs and tools.
• Work with Engineering and Product Management to translate customer needs into product priorities.

Skills

Data engineering

Python

SQL

REST APIs

DevOps mindset

Cross-functional collaboration

Education

Bachelor's or Master's degree in Computer Science

Tools

Kubernetes

GCP

Azure

Git

CI/CD

Job description

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.

The Impact 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
• We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

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.