Data Engineer - Support
Cognite
Job Summary
Cognite is seeking a Support Data Engineer with a strong blend of data and software engineering skills to support production environments, troubleshoot customer deployments, and implement proactive monitoring and operational improvements. This role requires deep technical capabilities and a customer-first mindset, focusing on resolving issues efficiently, maintaining system stability, and driving continuous improvement. You will be responsible for investigating and debugging complex customer-reported issues related to data pipelines, integrations, data models, and Cognite Data Fusion functionality. You will also serve as the technical point of contact for high-priority issues, perform in-depth diagnostics, engage in case reviews and root cause analyses, and participate in on-call rotations for 24/7 coverage. Additionally, you will create documentation and knowledge base articles to aid issue resolution and relay customer feedback to product and engineering teams. The role involves working with industrial data systems and requires strong problem-solving skills and excellent English communication.
Must Have
- 3-5 years in data-intensive, customer-facing role
- Technical support in SaaS or Data platform
- Strong Python and SQL programming skills
- Experience working with REST APIs
- Strong problem-solving skills
- Customer-centric mindset
- Excellent English communication skills
Good to Have
- Familiarity with cloud platforms (Azure, GCP)
- Experience with Kubernetes
- Experience with CI/CD tools
- Experience maintaining production-grade data pipelines
- Knowledge of industrial data systems (Oil & Gas, Power, Manufacturing)
- Experience with Grafana, Power BI, or GraphQL
Perks & Benefits
- High-impact role supporting enterprise customers
- Work closely with global teams and cutting-edge technology
- Exposure to advanced enterprise support practices
- Growth opportunities into technical leadership, solution architecture, or platform reliability roles
- Work in a modern and fun environment with a sublime culture
- Flat structure with direct access to decision-makers
- Opportunity to work with ambitious projects across industries
- Hybrid work environment
Job Description
Issue Troubleshooting & 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.
Skills & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
- 3–5 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.
What We Offer
- A high-impact role supporting enterprise customers using industry-leading data infrastructure.
- The opportunity to work closely with global teams and cutting-edge technology.
- Exposure to advanced enterprise support practices including SLAs, proactive diagnostics, and strategic alignment.
- Growth opportunities into technical leadership, solution architecture, or platform reliability roles.