Senior Data Engineer – Real-Time Data Platform (AWS, Spark)

Senior Data Engineer – Real-Time Data Platform (AWS, Spark)

Full-Time 60000 - 75000 Β£ / year (est.) No working from home possible
Oliver Bernard

At a Glance

  • Tasks: Lead the design and delivery of a cutting-edge data platform using AWS and Spark.
  • Company: Join a leading financial services firm with a focus on innovation.
  • Benefits: Attractive salary, flexible working, and opportunities for professional growth.
  • Other info: Hybrid work model with 3 days onsite in Canary Wharf.
  • Why this job: Make an impact in real-time data solutions while mentoring talented teams.
  • Qualifications: Experience in data engineering, architecture, and leadership skills required.

The predicted salary is between 60000 - 75000 Β£ per year.

Oliver Bernard is hiring a Senior Data Engineer to lead design and delivery of a modern, cloud-native data platform in a large financial services environment.

The role blends architecture, engineering leadership, and hands-on development across real-time and batch data platforms built on Python, AWS and Spark.

You will guide data governance, security, and audit-compliant solutions while mentoring multiple data engineering squads within a hybrid London-based setting (Canary Wharf 3 days onsite).

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Senior Data Engineer – Real-Time Data Platform (AWS, Spark) employer: Oliver Bernard

At Oliver Bernard, we pride ourselves on being an excellent employer that fosters innovation and collaboration in the tech space. Our hybrid work model allows for flexibility while still providing opportunities for meaningful face-to-face interactions in our London office. We are committed to employee growth, offering continuous learning opportunities and a supportive work culture that values creativity and teamwork, making us an ideal place for passionate Full Stack Engineers to thrive.

Oliver Bernard

Contact Details:

Oliver Bernard Recruitment Team

We think you need these skills to ace Senior Data Engineer – Real-Time Data Platform (AWS, Spark)

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