Production Data Engineer — Pipelines & AI Platform

Citywire; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

25 days annual leave

Employee Assistance Programme

Pension Scheme

Tech scheme

Personal development time

Job summary

Citywire's data platform powers products across the company, from industry ratings to production AI systems. We’re hiring a Data Engineer to help build pipelines and data models at the heart of it - taking requirements from stakeholder teams and turning them into tested, scheduled, monitored production systems.

This is a growth role, working directly with the platform lead on architecture, production engineering discipline, and collaborating with AI coding agents at scale.

Qualifications

• Experience building production data pipelines with robust data contracts and tests.
• Strong knowledge of dbt, Python, and SQL in real projects.
• Hands-on AWS deployment and debugging experience.
• Familiarity with containerized workflows and CLI-driven development.
• Ability to translate analyst requirements into production-ready pipelines.

Responsibilities

• Production data modelling: translate requirements into robust dbt models with tests and scheduling.
• Decompose legacy engines into modern AWS event-driven pipelines using Spark on EMR.
• Design data models powering AI platforms across funds, share classes, CRM, and finance systems.
• Ensure observability with logging, metrics, DLQ tracking, and alerting.
• Collaborate with analysts and data quality teams from requirements to deployment.

Skills

dbt

Python

SQL

AWS

Spark

Prefect

CI/CD testing

Data modeling

Data quality

Tools

Spark on EMR

Prefect

Job description

Citywire's data platform powers products across the company, from industry ratings to production AI systems. We’re hiring a Data Engineer to help build pipelines and data models at the heart of it - taking requirements from stakeholder teams and turning them into tested, scheduled, monitored production systems.

This is a growth role, working directly with the platform lead on architecture, production engineering discipline, and collaborating with AI coding agents at scale.