Senior Cloud Data Engineer — Pipelines & Reliability

Xcede; Greater London; Hybrid; GBP 81,000 - 99,000; Full time

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

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.