Data Engineer Python SQL AWS - FinTech

Client Server Ltd.; 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

London, Greater London | £78k - £85k per year

Data Engineer (Python SQL AWS) London / WFH to £85k

Do you have experience of building data pipelines within finance / Fintech environments?

You could be progressing your career in a hands-on Data Engineer role at a scaling Investment Research tech company with great benefits and perks.

As a Data Engineer you will be at the intersection of data engineering, database management and platform delivery. You will help build and evolve a modern, scalable AWS cloud based data platform.

Your focus will be on designing and maintaining data pipelines, ingestion frameworks and processing workflows, supporting the migration of existing datasets into a unified data architecture. Collaborating closely with the Data Platform Engineer, you will contribute to platform design, data modelling, database optimisation and the onboarding of new data sources.

You'll also assist with managing and optimising PostgreSQL and time-series database environments, improving data quality and governance and ensuring platform reliability, performance and scalability.

Location / WFH:

You'll join colleagues in the London office three days a week with flexibility to work from home the other two days.

About you:

• You have experience as a Data Engineer, ideally working with financial data / market data in a FinTech or financial services environment
• You have strong SQL and Python coding skills
• You have AWS experience, including Data Lakes and S3
• You have experience of building and supporting large scale data pipelines
• You have experience with PostgreSQL
• You have experience with times series data, they use TimescaleDB but other experience with similar platforms is fine
• You have experience with Orchestration platforms such as Dagster or Airflow
• You're collaborative with great communication skills

What's in it for you:

• Salary to £85k + bonus
• X3 weeks per year work anywhere
• 25 days holiday, increasing to 30
• Pension 9% (company contributes 5%, employee contributes 4%)
• Healthcare for you and your family
• Cycle to Work scheme
• Employee Assistance Program