Data Reliability Support Engineer
Our client is a growing organization dedicated to maintaining high standards of data accuracy and integrity. Known for fostering a collaborative and innovative culture, they value proactive problem-solving and continuous improvement. This role offers the opportunity to influence how operational data quality is managed across multiple enterprise systems, ensuring reliable data flows into key platforms such as Data Lake and analytics environments. You'll be integral in establishing controls, processes, and forums that uphold data consistency and quality, working closely with technology teams, source system owners, and Data Governance. If you enjoy tackling complex data issues and designing scalable operational solutions, this role provides a vital chance to make a significant impact within a dynamic environment.
Role Overview:
The Data Reliability Support Engineer is responsible for supporting the management and assurance of operational data quality across key source systems. This position ensures data meets defined standards for accuracy, completeness, and timeliness, enabling reliable analytics and decision-making organization-wide.
Key Skills & Experience:
• Data Quality experience
• Proven track record in data operations, data quality management, or data platform operations
• Strong understanding of data flows between enterprise systems such as ERP and CRM
• Experience setting and managing SLAs/OLAs for data quality and timeliness
• Ability to analyse data issues, schemas, and integrations
• Stakeholder management skills working with engineers, product owners, and business users
• Experience collaborating with Data Governance functions
• Proactive and process-driven in fast-changing environments
• Exposure to data quality or monitoring tools; interest in automation/AI (desirable)
Key Responsibilities:
• Support end-to-end operational data quality management for source systems contributing to the Data Lake
• Assist in defining and implementing SLAs/OLAs for data accuracy, completeness, and timeliness
• Collaborate with source system teams and business users to improve data capture processes
• Help design and monitor controls and checks to prevent data corruption
• Contribute to regular operational forums focused on data quality incident review and continuous improvement initiatives
• Develop tools, dashboards, and procedures for daily monitoring of critical data flows
• Support investigation and resolution of data quality incidents, driving root-cause analysis and fixes
• Work closely with Data Ops and Data Governance teams to ensure alignment on standards, rules, and ownership
If you are passionate about enhancing data quality at source and shaping operational data management practices, apply today to join a team committed to excellence in data reliability.
