Data Engineer

The Cypress Group; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

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

Competitive base salary

Performance-based bonus

Comprehensive 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

Python

SQL

AWS

Building data pipelines

ETL processes

Databricks

Excellent communication skills

Education

BSCS or advanced degree

Job description

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 [e-mail] for consideration.