Data Engineer - Finance Data | Hybrid/WFH

Client Server Limited

Greater London

Hybrid

GBP 80,000 - 85,000

Full time

5 hours ago
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Benefits offered by this job

Healthcare
Cycle to Work
Pension
Employee Assistance Program

Job summary

Client Server Limited is seeking a hands-on Data Engineer to build and evolve a modern AWS cloud data platform in London, with three days in the office and two remote per week. The role focuses on designing data pipelines, ingestion frameworks and processing workflows for financial data in a scaling fintech environment.

You will collaborate with the Data Platform Engineer on data modelling, database optimisation and onboarding of new data sources, while ensuring platform reliability and

Qualifications

  • Experience as a Data Engineer in FinTech or financial services.
  • Strong SQL and Python coding skills.
  • AWS experience with Data Lakes and S3.
  • Experience building 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.

Responsibilities

  • Design, build and maintain data pipelines and ingestion workflows.
  • Collaborate on platform design, data modelling and governance.
  • Optimise PostgreSQL and time-series data environments on AWS.
  • Ensure data quality, reliability, and scalable data architecture.

Skills

SQL
Python
AWS
Data pipelines
Collaboration
Timeseries data

Tools

PostgreSQL
TimescaleDB
Airflow
Dagster
S3 / Data Lake

Job description

Client Server Limited is seeking a hands-on Data Engineer to build and evolve a modern AWS cloud data platform in London, with three days in the office and two remote per week. The role focuses on designing data pipelines, ingestion frameworks and processing workflows for financial data in a scaling fintech environment.

You will collaborate with the Data Platform Engineer on data modelling, database optimisation and onboarding of new data sources, while ensuring platform reliability and

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