Senior Data Engineer

Xcede

Greater London

Hybrid

GBP 81,000 - 99,000

Full time

14 days+

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Benefits offered by this job

Strong benefits
Progression opportunities

Job summary

A well-established financial services company in Greater London is seeking a Senior Data Engineer to join their growing data team. The role involves building and maintaining scalable data pipelines, improving data reliability, and collaborating with analytics and engineering teams. Candidates should have strong experience in data engineering using Python and SQL, along with knowledge of AWS and Databricks. The position offers a competitive salary of up to £90,000, a hybrid working model, and great progression opportunities.

Qualifications

  • Strong experience in data engineering using Python and SQL.
  • Experience with Amazon Web Services and Databricks.
  • Strong understanding of cloud data architecture.
  • Experience working in agile engineering teams.
  • Strong problem-solving and communication skills.

Responsibilities

  • Build and maintain scalable data pipelines and ETL processes.
  • Improve data reliability, performance and observability.
  • Collaborate with analytics and engineering teams on data needs.
  • Support migration and optimisation of cloud-based systems.
  • Contribute to engineering best practices and standards.

Skills

Data engineering with Python
SQL
Cloud data architecture
Problem-solving
Communication skills

Tools

Amazon Web Services
Databricks

Job description

Xcede are partnering with a well-established FS company looking for a Senior Data Engineer to join their growing data team and help scale their cloud data infrastructure.

This role is ideal for someone who enjoys building reliable, production-grade data systems in a modern cloud environment.

Key Responsibilities
  • Build and maintain scalable data pipelines and ETL processes
  • Improve data reliability, performance and observability
  • Collaborate with analytics and engineering teams on data needs
  • Support migration and optimisation of cloud-based systems
  • Contribute to engineering best practices and standards
Key Requirements
  • Strong experience in data engineering using Python and SQL
  • Experience with Amazon Web Services and Databricks
  • Strong understanding of cloud data architecture
  • Experience working in agile engineering teams
  • Strong problem-solving and communication skills
Package
  • Up to £90,000 base salary
  • Hybrid working (London)
  • Strong benefits and progression opportunities
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