Data Support Engineer

Company Description

Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.

Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2024 were $331bn.

Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.

This Role is located in Houston, TX - In office 5x a week

Job Description

We are seeking a proactive and detail-oriented Data Support Engineer to join our dynamic Vision Data Engineering team in Houston, supporting mission-critical data pipelines in a fast-paced energy trading environment. As part of a global support team, you will provide Level 1 (L1) and Level 2 (L2) support, ensuring high availability, reliability, and performance of our data platforms. You will collaborate closely with application development teams, and business users across multiple regions to resolve and document incidents, manage service requests, and drive continuous improvement in support processes.

This role offers the opportunity to work in a collaborative, global environment at the intersection of technology and energy trading, with significant exposure to business operations and the latest data platform technologies.

Key Responsibilities:

• Provide L1 and L2 support for data pipelines, including incident triage, troubleshooting, and resolution.
• Monitor data pipeline health, performance, and data flows using monitoring tools and dashboards.
• Respond to and resolve user queries, issues, and service requests in a timely manner, maintaining high customer satisfaction.
• Escalate complex issues to L3 support or development teams, ensuring clear documentation and communication.
• Perform routine operational tasks such as data monitor digest failure notifications, vendor credentials management, batch job monitoring, and data integrity checks.
• Collaborate with business users to understand requirements and provide guidance on data related functionality and best practices.
• Maintain and update support documentation, knowledge bases, and runbooks.
• Identify recurring issues and contribute to root cause analysis and problem management.
• Support incident and change management processes in line with best practices.
• Participate in an on-call rotation and provide after-hours support as required.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience).
• 3+ years of experience in application support, preferably within the energy trading, financial services, or data-intensive industries.
• Strong understanding of L1/L2 support processes, incident management, and service desk operations.
• Experience supporting data flows & processes (e.g., data warehouses, ETL pipelines, reporting tools, or real-time data feeds).
• Ability to understand basic Python code and write scripts to automate data quality checks.
• Proficiency with SQL for data investigation and troubleshooting.
• Familiarity with Linux/Unix and Windows operating systems.
• Experience with monitoring tools such as Datadog, Splunk, Grafana, AppDynamics, or similar.
• Strong analytical and problem-solving skills, with the ability to work under pressure and prioritize effectively.
• Excellent communication skills, both written and verbal, with the ability to interact with technical and non-technical stakeholders.
• Customer-focused mindset with a commitment to delivering high-quality support.
• Ability to work effectively as part of a distributed, worldwide team.

Preferred:

• Experience in the energy trading sector or with trading platforms.
• Experience working with AI agents
• Familiarity with scripting languages (e.g., Python, Shell, PowerShell) for automation and troubleshooting.
• Exposure to cloud platforms (e.g., AWS, Azure) and data platform services.
• Experience with ticketing systems (e.g., ServiceNow, Jira Service Desk).

Additional Information

Comprehensive benefit coverage includes:

• Medical
• Dental
• Vision
• Paid Vacation
• 401k with company contributions
• Life insurance
• Short-term & Long-term disability

All your information will be kept confidential according to EEO guidelines.