Salary: £42,000 - 50,400 per year Requirements: 6 years of experience with ETL, data pipelines, and data warehouse production environments Strong expertise in troubleshooting ETL/ELT processes using tools such as Matillion, Informatica, ODI, or SSIS Experience in cloud-based data platforms like Snowflake Proven ability to analyze job failures, perform root cause analysis, and implement permanent fixes Hands-on experience with monitoring, alerting, and logging tools Familiarity with incidents, problem, and change management processes in ITIL-based environments Strong SQL programming and debugging skills with relational and cloud databases Experience with traditional and non-traditional forms of analytical data design (Kimbal, Inmon etc) Excellent communication skills to interact with business users, analysts, and cross-functional technical teams Domain knowledge in the area of finance data is preferred Experience with SAP Systems and Databases is a plus Knowledge of data visualization tools, such as PowerBI or Tableau is a plus Responsibilities: Monitor and support daily ETL processes, data pipelines, and batch jobs to ensure timely and accurate data delivery. Troubleshoot and resolve production issues, job failures, and performance bottlenecks across ETL and data warehouse systems. Work closely with the Data platform team to resolve data load issues. Perform root cause analysis of recurring issues and implement permanent fixes. Collaborate with development teams to transition projects smoothly into production and ensure operational readiness. Implement and maintain monitoring, alerting, and logging solutions for proactive issue detection. Ensure data quality, consistency, and availability through ongoing validation and health checks. Apply best practices for production support, including incident management, change management, and problem management. Work closely with business users, data analysts, and other stakeholders to resolve data-related queries. Document runbooks, support procedures, and knowledge base articles to streamline production operations. Continuously optimize processes for reliability, performance, and scalability in production environments. Ensure compliance with data security, access controls, and audit requirements in production systems. Check system dashboards, logs, and alerts for failures or anomalies. Verify data quality and integrity checks (row counts, duplicates, missing data, schema changes). Review ETL/ELT job runs, data pipeline executions, and batch processes. Validate data loads into staging, warehouse, and downstream systems for critical tables. Monitor real-time and scheduled jobs to ensure SLAs are met. Investigate and resolve production issues (job failures, data inconsistencies, performance delays). Collaborate with business users to resolve data access or reporting issues. Coordinate with development/engineering teams for fixes, hot patches, or re-runs of failed jobs. Track and document incidents, resolutions, and preventive measures in ticketing systems. Participate in daily/weekly operations meetings to report status and highlight issues. Handover critical ongoing issues to on-call/offshore support (if applicable). Enhance existing models with the addition of fields as per the requirements. Help with deployments and initial loads during Go-live. Perform root cause analysis for recurring or high-severity incidents. Fine-tune ETL workflows and SQL queries to improve performance. Implement monitoring scripts and automation to reduce manual intervention. Restructure the load plans to improve efficiency. Review security and access controls to ensure compliance. Update documentation (runbooks, troubleshooting guides, SOPs) for operational continuity. Technologies: Cloud Data Warehouse ETL Informatica Support ITIL ODI SAP SQL Security Snowflake SSIS Tableau JIRA ServiceNow More: We are seeking a Senior Data Engineer to join our dynamic team where we leverage data analytics to provide insights and recommendations that drive strategic decision-making. Our ideal candidate will be responsible for monitoring, maintaining, and supporting critical ETL processes, data pipelines, and data warehouse environments. We offer a collaborative work environment with opportunities to work with cross-functional teams in Finance, Accounting, Operations, and HR. This role is essential in ensuring the datas availability, accuracy, and reliability in our cloud-based data platforms. Join us in this exciting opportunity to enhance our data capabilities! last updated 8 week of 2026