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Data Engineer
Job summary
A prominent hedge fund in London is looking for a talented Data Engineer to join their team. Candidates should have 5-10+ years of experience in financial services with hands-on skills in Python, SQL, and AWS. The role involves building data pipelines and ETL processes, and experience with Databricks is preferred. Excellent communication skills are a must, and the job offers a hybrid work model with competitive salary and performance bonuses.
Benefits
Qualifications
- 5-10+ years of experience working as a Data Engineer in financial services.
- Specific hands-on experience with Python, SQL, and AWS.
- Knowledge of various asset classes is preferred.
Responsibilities
- Join the data engineering team in the London office.
- Interact with various teams and stakeholders within the organization.
Skills
Education
Our client is a hedge fund with offices in London and New York City. They are currently looking for a talented Data Engineer to join their team in the London office. Qualified candidates will have 5-10+ years of professional experience working as a Data Engineer in the financial services industry.
Qualified candidates will have specific hands‑on experience with Python, SQL, AWS, building data pipelines, ETL processes, and any exposure to Databricks would be a plus. Financial services experience is required, and knowledge of various asset classes is preferred. BSCS or advanced degree required.
Applicants must have excellent communication skills and be able to interact with various teams and stakeholders within the organization. This role is hybrid on‑site in London. Competitive base salary and performance‑based bonus as well as comprehensive benefits. Send a resume to nyjobs@cypressg.com for consideration.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.