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- Tasks: Design and implement data pipelines, develop APIs, and build scalable data solutions.
- Company: Join a leading rail software company transforming the industry with data.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact in the rail industry while honing your data engineering skills.
- Qualifications: Experience with ETL pipelines, backend development, and cloud platforms is a plus.
- Other info: Collaborative team environment with a focus on learning and innovation.
The predicted salary is between 28800 - 48000 £ per year.
This business is a rail software and consulting company with a growing team and a solid foundation of project-based revenue. It works with leading organisations across the UK rail industry, helping them harness data to solve complex operational challenges.
Data Engineers are key to this mission - building robust data infrastructure and tooling that powers insights, analytics, and software products used across the rail network.
As a Data Engineer, you will be part of a collaborative technical team, working across the data lifecycle: from designing ETL pipelines and integrating real-time data streams, to developing APIs and backend systems that deliver rail data securely and reliably. You will work closely with engineers, consultants, and project managers to translate real-world rail problems into scalable technical solutions. This role sits at the intersection of software engineering, data architecture, and delivery.
Key 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.
- Help shape end-to-end solutions — from ingestion and transformation to client-facing features and reporting.
- Write clean, well-documented, and tested code following engineering standards.
- Participate in design reviews, code reviews, and collaborative development sessions.
- Stay up-to-date with new tools and trends in the data engineering space.
- Contribute to internal learning sessions, tech talks, and shared documentation.
You might be a good fit if you have experience with:
- 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.
You don’t need experience in rail — just curiosity and a willingness to learn the domain.
Data Engineer in London employer: Chris Turner Recruitment Ltd
Contact Detail:
Chris Turner Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the rail industry or data engineering circles. LinkedIn is your best mate here – connect, engage, and don’t be shy to ask for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL pipelines or data APIs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and real-world scenarios. Practice explaining your thought process when solving problems, as this will demonstrate your analytical skills and collaborative spirit.
✨Tip Number 4
Don’t forget to apply through our website! It’s the quickest way to get your application in front of the right people. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the Data Engineer role. Use keywords from the job description to show us you understand what we're looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how your background makes you a great fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical examples of your skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Chris Turner Recruitment Ltd
✨Know Your Data Tools
Make sure you brush up on the data tools mentioned in the job description, like Kafka and dbt. Be ready to discuss your experience with these technologies and how you've used them to build ETL pipelines or manage data at scale.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where you designed data solutions or improved existing processes, and be ready to explain your thought process during the interview.
✨Understand Agile Methodologies
Since the role involves agile practices, it’s a good idea to familiarise yourself with agile principles. Be prepared to discuss your experience working in sprints, participating in reviews, and collaborating with cross-functional teams.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and the specific challenges they face in the rail industry. This shows your genuine interest and helps you assess if it's the right fit for you.
