At a Glance
- Tasks: Lead a data engineering team and design innovative solutions for impactful projects.
- Company: Join a forward-thinking tech company with a collaborative and dynamic culture.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Hybrid working model with excellent career advancement opportunities.
- Why this job: Make a real difference by mentoring developers and driving cutting-edge technology adoption.
- Qualifications: Experience in data engineering, software design, and team leadership required.
The predicted salary is between 63000 - 77000 £ per year.
Join us as a Lead Data Engineer. This is an opportunity for a driven Lead Engineer to join us and lead the technical delivery of a Data engineering team. You'll be responsible for leading solution design options and explaining the pros and cons to key stakeholders for appropriate decision making. Hone your existing technical skills and advance your career in this innovative and challenging role. You'll work from home some of the time, but you'll also spend at least twice a week working from our London office.
What you'll do:
- Mentor a team of developers and set the technical direction of the deliveries, applying the principles and methodologies of software engineering to the technical design, development, testing, and maintenance of applications and services.
- Take responsibility for the work quality of the data engineering team, ensuring it meets the technical standards for all services output, and implement a culture of concise and comprehensive technical documentation as a continuous process.
- Monitor the technical progress against plans, while safeguarding functionality, scalability and performance and providing updates to stakeholders.
- Support and mentor the team in the understanding of relevant software languages and technical domains.
- Drive the adoption of software engineering principles, processes and best practices.
- Liaise with engineers, architects, business analysts and other key stakeholders to understand the objectives, requirements and options.
- Design and develop high-volume, high-performance and high-availability applications using proven frameworks and technologies.
- Drive the adoption of AI based development across the team.
The skills you'll need:
- A background in data engineering, software design, database design and architecture, as well as experience in setting the technical direction and mentoring a team of developers.
- Experience of test-driven development and the use of automated test frameworks, mocking, stubbing and unit testing tools, along with knowledge of the key phases of the software delivery lifecycle and established software development methodologies.
- The ability to develop software in an SOA and micro-services paradigm.
- Development experience in SQL and Python.
- Experience of using industry recognised frameworks and development tooling, including git.
- A background of implementing programming best-practice, especially around scalability, availability and performance.
- Experience of working in an environment where products must be delivered to specific timescales.
Hours: 35
Job Posting Closing Date: 12/11/2026
Ways of Working: Hybrid
Lead Data Engineer employer: Royal Bank of Scotland
At NatWest Markets, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London. Our culture fosters collaboration and innovation, providing employees with ample opportunities for professional growth and development. With a focus on market insights and client relationships, we empower our team to excel in their roles while enjoying a supportive atmosphere that values diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Royal Bank of Scotland!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Engineer at Royal Bank of Scotland.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Royal Bank of Scotland.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Royal Bank of Scotland, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Royal Bank of Scotland, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Royal Bank of Scotland. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Royal Bank of Scotland
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Royal Bank of Scotland!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
