Data Engineer: Scale Rail Data Pipelines & APIs – Equity Eligible

Chris Turner Recruitment Ltd; Greater London; On-site; GBP 55,000 - 85,000; Full time

Job summary

Chris Turner Recruitment Ltd. is seeking a Data Engineer in London to design and build robust data pipelines and APIs for rail data. The role blends software engineering, data architecture, and delivery within a collaborative tech team.

You'll work across the data lifecycle, from ETL design to real-time streaming, APIs, and backend services, enabling analytics and product features for rail clients. Prior experience with cloud data platforms and SQL is valued.

Qualifications

• Building ETL/ELT pipelines using tools like Kafka, dbt, or custom frameworks.
• Working with structured and unstructured data at scale.
• Backend development in Python (or similar), and familiarity with data APIs.
• Cloud data platforms (e.g., AWS Redshift, Azure Synapse).
• SQL and database design for analytics, reporting, and product use.
• Agile collaboration with cross-functional teams.

Responsibilities

• Design and implement robust data pipelines (batch and real-time) for ingesting, transforming, and serving rail-related datasets.
• Develop and maintain data APIs and services to support analytics, software features, and reporting tools.
• Build data models and storage solutions that balance performance, cost, and scalability.
• Contribute to codebases using modern data stack technologies and cloud platforms (e.g., Azure, AWS).
• Work with domain consultants and delivery leads to understand client needs and define data solutions.
• Participate in agile delivery practices, including sprint planning, reviews, and retrospectives.

Skills

ETL/ELT pipelines

Python

APIs

Agile collaboration

SQL

Tools

Kafka

dbt

AWS Redshift

Azure Synapse

Job description

Chris Turner Recruitment Ltd. is seeking a Data Engineer in London to design and build robust data pipelines and APIs for rail data. The role blends software engineering, data architecture, and delivery within a collaborative tech team.

You'll work across the data lifecycle, from ETL design to real-time streaming, APIs, and backend services, enabling analytics and product features for rail clients. Prior experience with cloud data platforms and SQL is valued.