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For Companies At a Glance
- Tasks: Design and implement data pipelines, develop APIs, and collaborate on innovative solutions.
- Company: Dynamic rail software company transforming the industry with data-driven insights.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a team making a real impact in the rail industry through cutting-edge data engineering.
- Qualifications: Experience in Python, ETL pipelines, and cloud platforms; curiosity is key!
- Other info: Collaborative environment with a focus on learning and development.
The predicted salary is between 45000 - 55000 £ per year.
Overview
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.
The Role
As a Data Engineer, you'll 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'll 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
- Data Engineering & Infrastructure
- 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).
- Collaborative Delivery
- 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.
- Best Practices & Growth
- 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.
The Candidate
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.
Python Data Engineer in City of 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 Python Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the rail industry or data engineering roles on LinkedIn. A friendly chat can open doors and give you insights that job descriptions just can't.
✨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 beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practise explaining your thought process when solving problems, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Python Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with ETL pipelines, Python, and cloud platforms like AWS or Azure. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working in the rail industry and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We’re interested in seeing how you’ve tackled data challenges and built solutions, so don’t hold back!
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. Plus, it shows you’re keen to join our team at StudySmarter!
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 Python Skills
Since backend development in Python is key for this role, prepare to talk about your projects involving Python. Bring examples of code you've written, especially focusing on data APIs and any relevant frameworks you've used.
✨Understand Agile Methodologies
Familiarise yourself with agile practices, as this company values collaboration and iterative development. Be prepared to discuss your experience in sprint planning and how you've contributed to team retrospectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and challenges in the rail industry. This shows your curiosity and willingness to learn, which is something they appreciate in candidates.