Photon
Data Engineer | London, UK
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Role Summary
We are looking for experienced Data Engineers / Data Analysts to support a ledger migration and data clean-up initiative across the data lake, reporting and downstream feeds. The role will involve working on large-scale batch processing, data validation, regression testing and migration readiness activities within a financial services environment.
Key Responsibilities
- Support ledger migration activities, including data extraction, transformation, reconciliation and validation.
- Work on data lake clean-up, data quality checks, reporting pipelines and downstream feeds.
- Develop, enhance and validate SQL queries, batch jobs and data processing logic.
- Perform regression testing on batch processes to ensure data accuracy and completeness before and after migration.
- Collaborate with engineering, product and business teams to understand migration requirements and resolve data issues.
- Document data mapping, validation rules, test results and migration exceptions clearly.
- Support production readiness, defect triage and post-migration validation activities.
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Required Skills and Experience
- Strong hands-on experience with SQL and data analysis across large datasets.
- Experience with batch processing, batch regression testing and data reconciliation.
- Working knowledge of Spark or similar distributed data processing technologies.
- Experience working with data lakes, reporting platforms, feeds and data migration programmes.
- Ability to identify data inconsistencies, investigate root causes and support remediation.
- Strong understanding of data quality, controls, validation and auditability in enterprise environments.
- Good communication skills with the ability to work across engineering, business and product stakeholders.
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Preferred Experience
- Prior experience in financial services, banking, ledger systems or regulatory data environments.
- Experience supporting enterprise-scale migration, modernisation or platform transformation programmes.
- Exposure to reporting, dashboards, data views and operational data feeds.
- Ability to work in distributed teams across London, Bangalore and Singapore.
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