Data Engineer: Build Pipelines & Insights in Banking

Data Engineer: Build Pipelines & Insights in Banking

Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
Perenna

At a Glance

  • Tasks: Build robust data pipelines and analyse raw data for business insights.
  • Company: Perenna, a growing banking firm in Greater London.
  • Benefits: Competitive salary, 30 days annual leave, healthcare, and pension contributions.
  • Other info: Enjoy a hybrid work model for flexibility and collaboration.
  • Why this job: Join a dynamic team and make an impact in the banking sector.
  • Qualifications: Strong expertise in Python and SQL required.

The predicted salary is between 50000 - 65000 Β£ per year.

Perenna, located in Greater London, is hiring a Data Engineer to support their growth. The role requires strong expertise in Python and SQL for building robust data pipelines and analysing raw data to support business reporting.

This position offers competitive salary, 30 days annual leave, and benefits including comprehensive healthcare and pension contributions. The workplace model is hybrid, balancing teamwork in-office and remote work for efficiency and collaboration.

Data Engineer: Build Pipelines & Insights in Banking employer: Perenna

As a Platform Engineer at our company, you'll be part of a dynamic and innovative team dedicated to enhancing our Azure-based platform. We pride ourselves on fostering a collaborative work culture that prioritises continuous improvement and employee development, offering extensive training opportunities and a comprehensive benefits package, including private healthcare and generous leave. With a hybrid working model based in Bloomsbury or Newcastle Upon Tyne, you will enjoy a supportive environment that encourages growth and the chance to make a meaningful impact on our platform services.

Perenna

Contact Details:

Perenna Recruitment Team

We think you need these skills to ace Data Engineer: Build Pipelines & Insights in Banking

Python
SQL
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Automation
Data Engineering