At a Glance
- Tasks: Design and manage scalable ETL pipelines and cloud-native data lakes for trading operations.
- Company: Goldman Lloyds, a leading firm in financial markets data.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work in Central London with a collaborative and innovative culture.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of finance.
- Qualifications: 5+ years in data engineering with a focus on financial datasets.
The predicted salary is between 70000 - 90000 £ per year.
Goldman Lloyds is seeking a Senior Data Engineer to join their team in Central London. This role will involve designing and managing scalable Python-based ETL pipelines and cloud-native data lake solutions to support quantitative research and trading operations.
The ideal candidate should have over five years of experience in data engineering within a financial context, with a strong focus on data integrity and quality assurance across various financial datasets.
This position is hybrid, requiring three days on-site work per week.
Senior Data Engineer - Financial Markets Data & Low-Latency employer: Goldman Lloyds
Goldman Lloyds is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Central London. With a strong commitment to employee growth, we provide ample opportunities for professional development and advancement within the financial sector. Our hybrid work model ensures a balanced approach to work-life integration, making it an ideal environment for talented individuals looking to make a meaningful impact in financial markets data engineering.
