At a Glance
- Tasks: Support ledger migration and data clean-up in a dynamic financial services environment.
- Company: Join a leading financial services firm with a focus on innovation and teamwork.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with global teams and enhance your career in a fast-paced industry.
- Why this job: Make an impact by ensuring data accuracy and quality in large-scale projects.
- Qualifications: Strong SQL skills and experience with data analysis and batch processing.
The predicted salary is between 55000 - 70000 £ per year.
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.
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.
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.
Data Engineer | London, UK employer: Photon Group
As a Consulting Analyst in London, you will thrive in a dynamic and collaborative work environment that values analytical thinking and innovation. Our company offers exceptional employee growth opportunities through continuous learning and mentorship, alongside a strong commitment to work-life balance and diversity. Join us to be part of a forward-thinking team that is dedicated to making a meaningful impact in the consulting space.
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We think you need these skills to ace Data Engineer | London, UK
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
