Senior Data Engineer (Python + AWS) – FinTech, Remote/Hybrid

Client Server

Greater London

Hybrid

GBP 110,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

3 weeks work anywhere
25 days holiday (to 30)
Pension 9% (employer 5%)
Healthcare for you and your family
Cycle to Work
Employee Assistance Program

Job summary

Client Server in London is seeking a Senior Data Engineer to design and evolve a scalable AWS-based data platform for financial data.

You will build and optimise data pipelines, collaborate with the Data Platform Engineer, and help govern data quality while ensuring reliability and performance in a finance-focused environment.

The role offers hybrid work with three days in the London office and up to two days remote, alongside competitive benefits.

Qualifications

  • Experience as a Data Engineer with financial data / market data in FinTech or financial services.
  • Strong SQL and Python coding skills.
  • Strong 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.
  • Contribute to platform design, data modelling, database optimisation and onboarding of new data sources.
  • Manage and optimise PostgreSQL and time-series databases.
  • Improve data quality, governance, reliability, performance and scalability.

Skills

Data Engineer
SQL
Python
AWS
Data Lakes
S3
PostgreSQL
TimescaleDB
Airflow
Dagster
Team collaboration

Tools

Dagster
Airflow

Job description

Client Server in London is seeking a Senior Data Engineer to design and evolve a scalable AWS-based data platform for financial data.

You will build and optimise data pipelines, collaborate with the Data Platform Engineer, and help govern data quality while ensuring reliability and performance in a finance-focused environment.

The role offers hybrid work with three days in the London office and up to two days remote, alongside competitive benefits.

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