Senior FinTech Data Engineer - AWS Pipelines & Timeseries

Client Server Limited; Greater London; On-site; GBP 110,000 - 135,000; Full time

Benefits offered by this job

£120k+ bonus

Work anywhere 3 weeks/yr

25 days holiday

Pension 9%

Healthcare

Cycle to Work

Employee Assistance Program

Job summary

Client Server Limited in London is seeking a Senior Data Engineer to drive the design and evolution of a modern, AWS-based data platform used for investment research.

You will build scalable pipelines, ingest data, optimize PostgreSQL and TimescaleDB, and collaborate with the Data Platform Engineer to ensure reliability and governance across the data ecosystem. This hands-on role offers significant impact, competitive benefits, and a chance to shape how data informs investment decisions.

Qualifications

• Finance/FinTech data experience required.
• Strong SQL and Python coding.
• AWS data lakes and S3 experience.
• Experience with large-scale data pipelines.
• Experience with PostgreSQL.
• Timeseries data experience preferred.

Responsibilities

• Design and maintain data pipelines, ingestion frameworks and processing workflows.
• Collaborate with Data Platform Engineer on platform design, data modelling and database optimisation.
• Onboard new data sources and ensure data quality and governance.
• Manage PostgreSQL/TimescaleDB environments and ensure platform reliability, performance and scalability.

Skills

SQL

Python

AWS

TimescaleDB

PostgreSQL

Dagster

Airflow

Data pipelines

FinTech experience

Communication

Tools

Dagster

Airflow

Job description

Client Server Limited in London is seeking a Senior Data Engineer to drive the design and evolution of a modern, AWS-based data platform used for investment research.

You will build scalable pipelines, ingest data, optimize PostgreSQL and TimescaleDB, and collaborate with the Data Platform Engineer to ensure reliability and governance across the data ecosystem. This hands-on role offers significant impact, competitive benefits, and a chance to shape how data informs investment decisions.