Senior Data Engineer, London - FinTech

Oliver Bernard

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

Oliver Bernard is seeking a Senior Data Engineer in London to design and evolve data infrastructure for financial services use cases. The role is hybrid with 3-4 days onsite per week.

You will bring strong Python and PySpark, advanced SQL, and experience with Snowflake or Databricks, plus AWS and data modelling expertise. Apply to join a fast-growing FinTech-focused delivery partner.

Qualifications

  • Strong Python and PySpark experience.
  • Advanced SQL skills for large datasets.
  • Knowledge of Snowflake or Databricks.
  • Strong data modelling and warehouse design.
  • Experience with AWS and orchestration tools.
  • Strong software engineering practices: testing, CI/CD, observability, clean code.

Responsibilities

  • Design, develop, and evolve modern data infrastructure to support critical financial services use cases.

Skills

Python
PySpark
SQL
Data Modeling
Warehouse Design
AWS
Orchestration
CI/CD
Testing
Observability
Clean Code

Tools

Snowflake
Databricks
AWS
Airflow

Job description

London - hybrid, 3 - 4 days onsite weekly

We’re partnered with a fast-growing FinTech who help leading financial institutions solve complex operational and compliance challenges through innovative SaaS solutions and expert-led technology delivery.

The Role

As a Senior Data Engineer, you’ll play a key role in designing, developing, and evolving modern data infrastructure that supports critical financial services use cases.

You’ll ideally have:

  • Strong commercial experience with Python and PySpark
  • Advanced SQL skills and experience working with large datasets
  • Knowledge of Snowflake or Databricks
  • Strong understanding of data modelling and warehouse design
  • Experience with modern cloud data platforms (AWS) and orchestration tools
  • Strong software engineering practices, including testing, CI/CD, observability, and clean code principles

London - hybrid, 3 - 4 days onsite weekly

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