Data Engineer (Python, SQL, Spark) - Azure Databricks

Data Engineer (Python, SQL, Spark) - Azure Databricks

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Client Server

At a Glance

  • Tasks: Transform raw data into insights for trading and investment teams using Python, SQL, and Spark.
  • Company: Join a dynamic team at Client Server in the heart of London.
  • Benefits: Competitive salary, opportunities for growth, and a collaborative work environment.
  • Other info: Exciting opportunity to work with cutting-edge technologies like Azure Databricks.
  • Why this job: Make a real impact in finance by delivering valuable data insights.
  • Qualifications: STEM degree, finance experience, and strong skills in Python and SQL required.

The predicted salary is between 60000 - 80000 Β£ per year.

Client Server is seeking a Data Engineer (Python, SQL, Spark, Azure Databricks) in London.

You will join a small team transforming raw data from multiple vendors for the trading desk and investment quants, delivering insights and visualisations.

The role requires a first-class STEM degree, finance industry experience, and strong Python/SQL skills, with Spark/Azure Databricks experience preferred.

#J-18808-Ljbffr

Data Engineer (Python, SQL, Spark) - Azure Databricks employer: Client Server

Client Server is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With competitive salaries, comprehensive benefits including life assurance and a wellness package, and the flexibility to work from home, employees are empowered to thrive both personally and professionally. Join a highly profitable Hedge Fund where your skills will be valued, and you will have ample opportunities for career progression in a senior role.

Client Server

Contact Details:

Client Server Recruitment Team

We think you need these skills to ace Data Engineer (Python, SQL, Spark) - Azure Databricks

Python
SQL
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Data Engineering
API Integration