Senior Data Engineer – Financial Data Platforms

EC1 Partners

Greater London

On-site

GBP 90,000 - 120,000

Full time

12 days ago

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Job summary

EC1 Partners is recruiting a Senior Data Engineer to build and scale financial data platforms used for analytics, reporting, and decision-making in a fintech environment.

You will own end-to-end data pipelines, work with large, business-critical datasets, and collaborate with analytics, product, and engineering teams to improve quality and observability.

Qualifications

  • This role requires strong Python and SQL experience.
  • Background in data engineering within fintech or financial services.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Proven ETL/ELT pipeline development experience.
  • Solid understanding of data quality and governance principles.

Responsibilities

  • Design, build, and maintain scalable data pipelines using Python and SQL.
  • Ingest, transform, and model complex financial datasets.
  • Partner closely with analytics, product, and engineering teams.
  • Improve data quality, reliability, and observability.
  • Contribute to cloud-based data architecture decisions.

Skills

Python
SQL
Data engineering
Fintech experience
Cloud platforms

Tools

dbt
Airflow

Job description

Role Overview

This is a high-impact Senior Data Engineer role focused on building and scaling financial data platforms that underpin analytics, reporting, and decision-making across a complex fintech environment. You’ll work with large, business-critical datasets, owning end-to-end data pipelines that support both operational and commercial use cases within financial services.

Key Responsibilities
  • Design, build, and maintain scalable data pipelines using Python and SQL

  • Ingest, transform, and model complex financial datasets

  • Partner closely with analytics, product, and engineering teams

  • Improve data quality, reliability, and observability

  • Contribute to cloud-based data architecture decisions

Required Experience
  • Strong experience with Python and SQL

  • Background in data engineering within fintech or financial services

  • Experience with cloud platforms (AWS, GCP, or Azure)

  • Proven ETL / ELT pipeline development experience

  • Solid understanding of data quality and governance principles

Nice to Have
  • Market or reference data exposure

  • Experience with dbt, Airflow, or similar tools

  • Regulatory or reporting data knowledge

Why Join
  • Work on business-critical financial data platforms

  • High ownership and technical impact

  • Clear progression within a growing data function

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