Data Engineer - Value Support Engineering

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

The One Cognite Customer Support team is a globally distributed group of technical

experts including Support Data Engineers, Support Solution Architects, and Support

Specialists focused on ensuring customer support and success.

We deliver high-quality support across four tiers of enterprise-grade customer

support service from maintaining stable day-to-day operations to proactive

monitoring, strategic alignment, and customer cases/issue resolution. Our mission is to

enable customers to get the most value from Cognite Data Fusion by ensuring their

deployments run reliably and efficiently at scale.

About the Role

We are seeking a Data Engineer-Support with a strong blend of data and software

engineering skills. You will be responsible for supporting production environments,

troubleshooting customer deployments, and implementing proactive monitoring and

operational improvements.

This role requires both deep technical capabilities and a customer-first mindset, with a

focus on resolving issues efficiently, maintaining system stability, and driving continuous

improvement. You’ll play a critical part in supporting 24/7 operational readiness in

collaboration with global teams.

Troubleshooting Issues & Customer Support

• Investigate and debug complex customer-reported issues related to data pipelines, integrations, data models, and Cognite Data Fusion functionality.

• Work closely with customer teams to understand production incidents, reproduce issues, and implement reliable fixes or workarounds.

• Analyze data failures, system errors, and unexpected behaviours across API integrations, custom code, and third-party data sources.

• Maintain and improve the reliability and performance of existing data pipelines by proactively identifying bottlenecks, configuration mismatches, or usage anomalies.

• Collaborate with engineering and product teams to escalate platform issues, suggest improvements, and contribute to long-term resolutions.

Advanced and Enterprise-Level Support

• Serve as the technical point of contact for customer support cases, particularly complex and high-priority issues.

• Perform in-depth troubleshooting and diagnostics, including custom code reviews and third-party data source integrations.

• Engage in regular case reviews, root cause analyses, and progress updates aligned with customer SLAs.

• Participate in on-call rotations to ensure 24/7 coverage and rapid response to critical issues.

• Implement and manage proactive monitoring and alerting systems to detect and address issues before they escalate.

Customer Enablement & Knowledge Sharing

• Create clear documentation, “how-to” guides, and knowledge base articles to accelerate issue resolution and reduce repeat tickets.

• Work closely with internal product and engineering teams to relay customer feedback and prfioritize product improvements.

The Impact you bring to Cognite

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.

• 3+ years in a data-intensive, customer-facing role with experience in technical support in a SaaS or Data platform environment, ideally in a Tier 2/3 or engineering-focused support function.

• Strong programming skills in Python and SQL; experience working with REST APIs.

• Familiarity with cloud platforms (Azure, GCP), Kubernetes, and CI/CD tools.

• Experience maintaining production-grade data pipelines and workflows in live customer environments.

• Knowledge of industrial data systems or domains such as Oil & Gas, Power, or Manufacturing is a plus.

• Experience with tools like Grafana, Power BI, or GraphQL is a bonus.

• Strong problem-solving and troubleshooting skills.

• Excellent English communication skills and a customer-centric mindset.

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.