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Data Engineer at EDF Energy – London | Jobyssey

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Data Engineer

EDF Energy · London, United Kingdom · 3 weeks ago

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Work mode: Hybrid
Category: Data engineering

agile analytics ci-cd data-engineering data-pipelines data-quality devops etl event-driven-architecture financial-reporting github java jenkins

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Data Engineer at EDF Energy building and maintaining data products and ETL pipelines that power financial insight within the Finance Systems and Analytics team. Day-to-day work involves large complex datasets, SQL/Snowflake, a server-side language (Python, Java, Kotlin or NodeJS), CI/CD tooling and agile/DevOps delivery, with hybrid working in London.

Overview

In this Data Engineer role within Finance Systems and Analytics, you design, build and maintain data products powering financial insight at scale. You’ll work at the heart of Finance to enable better decision-making across systems, applying modern engineering practices in a DevOps environment. You’ll tackle large, complex datasets and collaborate across cross-functional teams to deliver measurable commercial value. The position offers hybrid work, potential bonus, and opportunities to grow technical skills while shaping how data is used in Finance.

Pay / Benefits

competitive salary
annual bonus potential
flexible hybrid working
travel opportunities

Responsibilities

Build and maintain scalable data products delivering insights across finance systems
Design and optimise ETL processes to ensure data integrity and performance
Collaborate with engineers, analysts and business teams to deliver data solutions
Participate in agile delivery, including planning and retrospectives
Support operational performance, monitoring and reliability of data platforms
Work with large, complex datasets to support financial reporting and decision-making
Evolve data engineering practices to improve data quality and business value

Key requirements

Experience building and maintaining data pipelines and scalable data products with structured and unstructured data
Strong SQL knowledge, ideally in Snowflake
Experience with at least one server-side language (Python, Java, Kotlin or NodeJS)
Knowledge of event-driven, loosely coupled architectures and data processing patterns
Experience with CI/CD tools (Jenkins, GitHub, or Terraform)
Experience applying test driven development or behaviour driven development
Experience with automated testing techniques in data or software engineering environments
Ability to translate complex data concepts to non-technical stakeholders

clear communication
collaboration in agile teams
curiosity and problem-solving
data pipelines
SQL (Snowflake)
Python/Java/Kotlin/NodeJS

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