Point your AI agent at freehire and let it find you a job.

Get the CLI →

Client Server

NewBe an early applicant

Senior Data Engineer - Finance Data

Posted 1 view
Discussion

Summary

Senior Data Engineer at a scaling investment-research fintech in London, owning AWS-based data pipelines, ingestion frameworks and processing workflows. Day to day centres on PostgreSQL and time-series data (TimescaleDB), migrating datasets into a unified architecture, and improving data quality, governance and platform reliability.

Overview

As a Senior Data Engineer in a scaling Investment Research tech company, you design and operate a modern, scalable AWS-based data platform. You will own the data pipelines, ingestion frameworks and processing workflows, migrating datasets into a unified architecture while collaborating with the Data Platform Engineer. Your work focuses on PostgreSQL and time-series data management, data quality, governance and ensuring platform reliability at scale. This role offers hands-on delivery, strong collaboration, and the opportunity to shape data infrastructure in a fintech environment.

Pay / Benefits
  • salary up to 120k + bonus
  • 3 weeks per year anywhere
  • 25 days holiday (30 with tenure)
  • pension 9% (company 5%, employee 4%)
  • healthcare for you and family
  • Cycle to Work scheme
Responsibilities
  • Design and maintain data pipelines, ingestion frameworks and processing workflows
  • Support migration of existing datasets into a unified data architecture
  • Collaborate with Data Platform Engineer on platform design, data modelling and database optimisation
  • Onboard new data sources
  • Manage and optimise PostgreSQL and time-series databases (TimescaleDB or similar)
  • Improve data quality, governance, and platform reliability, performance and scalability
Key requirements
  • Experience as a Data Engineer in financial data / 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 equivalent)
  • Experience with orchestration platforms (Dagster or Airflow)
  • Collaborative with good communication skills
  • collaborative
  • strong communication
  • Python
  • SQL
  • AWS (Data Lakes, S3)
  • PostgreSQL

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
Apply

See also

Data Engineering jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.