Data Engineer (Python, SQL, AWS) – Hybrid Finance

Client Server Limited; Greater London; Hybrid; GBP 78,000 - 85,000; Full time

Benefits offered by this job

3 weeks per year work anywhere

25 days holiday (plus increases)

Pension 9% (employer 5%)

Healthcare for you and family

Cycle to Work scheme

Employee Assistance Program

Job summary

Client Server Limited is seeking a Data Engineer in London with strong Python and SQL skills to build scalable data pipelines in a finance/FinTech setting. The role focuses on AWS-based data platforms, data ingestion, and data governance.

You will join a team in the London office three days a week with flexible home working two days. The position offers a competitive salary and comprehensive benefits.

Qualifications

• Experience as a Data Engineer, preferably with financial data/FinTech environments.
• Strong SQL and Python coding skills.
• AWS experience including Data Lakes and S3.
• Experience building and supporting large-scale data pipelines.
• Experience with PostgreSQL.
• Experience with time-series data (TimescaleDB or similar).
• Experience with orchestration platforms such as Dagster or Airflow.
• Collaborative with good communication skills.

Responsibilities

• Design and maintain data pipelines, ingestion frameworks, and processing workflows.
• Support migration of datasets into a unified data architecture.
• Collaborate with Data Platform Engineer on platform design, data modelling, and database optimization.
• Onboarding of new data sources and ensuring data quality and governance.
• Manage and optimize PostgreSQL and time-series databases for performance and reliability.

Skills

SQL

Python

AWS

Data pipelines

PostgreSQL

TimescaleDB

Airflow

Dagster

Team collaboration

Tools

TimescaleDB

PostgreSQL

Airflow

Dagster

AWS

Job description

Client Server Limited is seeking a Data Engineer in London with strong Python and SQL skills to build scalable data pipelines in a finance/FinTech setting. The role focuses on AWS-based data platforms, data ingestion, and data governance.

You will join a team in the London office three days a week with flexible home working two days. The position offers a competitive salary and comprehensive benefits.