At a Glance
- Tasks: Design and implement data flows for analytics and business intelligence systems.
- Company: Join HS2, a forward-thinking organisation focused on innovation and collaboration.
- Benefits: Competitive salary, flexible benefits fund, and a range of perks.
- Other info: Dynamic work environment with opportunities for growth and development.
- Why this job: Make a real impact by optimising data processes and driving efficiency.
- Qualifications: Experience in data engineering and problem-solving skills required.
The predicted salary is between 44380 - 52212 £ per year.
Base salary: £44,380pa to c.£52,212pa depending on skills and experience. In addition, we offer a flexible benefits fund of 15% paid on top of base salary, which is fully pensionable, along with a range of competitive benefits—see our website for details.
Job Purpose
This role is responsible for designing and leading the implementation of data flows to connect operational systems, data for analytics and business intelligence (BI) systems, ensuring the effective use of valuable information throughout HS2.
About The Role
- Overall accountability for the life‑cycle of specific data engineering projects, including identifying business needs, data gathering, specification, tool selection, analysis, deliverables and presentations.
- Engagement with Product Owners, Information Asset Owners, IT and business colleagues to elicit underlying causes of business problems and inefficiencies, supporting design objectives with insights.
- Inspiration of best practice for data products and services within the team and across HS2.
- Collaboration with other team members and the Senior Data Analytics Manager to identify, plan, develop and deliver data services.
- Accountability for designing, developing and deploying information and data management process‑flow systems through to implementation.
- Keeping up‑to‑date with progress in Data Engineering and emerging technologies across Government.
- Development of reusable Data Engineering models.
- Promotion and embedding of Equality, Diversity and Inclusion (EDI) in all work, and compliance with organisational initiatives, policies and procedures.
Skills
- Data development process – ability to design, develop and test complex or large‑scale data products and articulate team delivery.
- Data integration design – selecting and implementing appropriate technologies to deliver resilient, scalable, future‑proofed data solutions.
- Problem resolution (data) – identifying and responding to problems in databases, data processes, products and services.
- Programming and building – using standards and tools to design, code, test, correct and document programs and scripts from agreed specifications and iterations.
Knowledge
- Knowledge of a range of cloud‑based tools and technologies and of the role of data integration and process flow.
- Knowledge of innovative data tools and how these can be applied.
Type of Experience
- Experience developing fit‑for‑purpose, resilient, scalable and future‑proofed data services to meet user needs.
- Experience applying Data Engineering techniques.
- Experience producing reusable data models.
Data Engineer in London employer: HS2 (High Speed Two) Ltd
At HS2, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through our flexible benefits fund, competitive salary packages, and a strong focus on Equality, Diversity, and Inclusion. Join us in Birmingham, where you will have the opportunity to work on impactful data engineering projects that shape the future of transport in the UK.
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 industry, attend meetups, and connect with data engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this will demonstrate your analytical skills and approach to challenges.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining our team. Plus, it gives you a better chance to stand out!
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data integration, cloud-based tools, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Problem-Solving Skills:In your application, don’t forget to highlight your problem resolution skills. Share examples of how you've tackled data-related challenges in the past. We love seeing how you approach issues and find solutions!
Apply Through Our Website:We encourage you to apply through our website for the best experience. It’s super easy, and you’ll get all the info you need about the role and our company. Plus, we can’t wait to see your application!
How to prepare for a job interview at HS2 (High Speed Two) Ltd
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Understand the data development process, data integration design, and the tools commonly used in the industry. Being able to articulate these concepts clearly will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data-related problems in the past. Think about specific challenges you've faced, the steps you took to resolve them, and the outcomes. This will demonstrate your ability to identify issues and implement effective solutions, which is crucial for the role.
✨Familiarise Yourself with Emerging Technologies
Stay updated on the latest trends and technologies in data engineering. Be ready to discuss how you can leverage innovative tools to enhance data processes. This shows your commitment to continuous learning and your ability to adapt to new challenges.
✨Emphasise Collaboration and Communication
Since the role involves working closely with various stakeholders, highlight your teamwork and communication skills. Prepare to discuss how you've collaborated with product owners or IT teams in previous projects. This will illustrate your ability to engage effectively with others and drive projects forward.
