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 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. Located at the heart of one of the UK's most ambitious infrastructure projects, we provide our Data Engineers with unique opportunities to shape the future of data management while enjoying a supportive and inclusive culture.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 and problem-solving techniques, as this will help you shine during technical interviews.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it gives you a chance to explore all the benefits we offer, including that sweet flexible benefits fund!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data flows, integration design, and any relevant technologies you've worked with. 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. Don't forget to mention any specific projects or achievements that showcase your skills.
Showcase Your Problem-Solving Skills:In your application, be sure to include examples of how you've tackled data-related problems in the past. We love seeing candidates who can think critically and come up with innovative solutions!
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, you can check out more about our company culture and benefits while you're there!
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 life-cycle of data projects, from gathering requirements to implementation. Be ready to discuss specific tools and technologies you've used in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled data-related problems in previous roles. Highlight your approach to identifying issues and implementing solutions, especially in databases and data processes. This will demonstrate your analytical thinking and technical prowess.
✨Familiarise Yourself with Emerging Technologies
Stay updated on the latest trends and tools in data engineering. Be prepared to discuss how you can apply innovative data tools to improve processes. Showing that you're proactive about learning will impress interviewers.
✨Emphasise Collaboration and Communication
Since this role involves working with various stakeholders, be ready to talk about your experience collaborating with teams. Share examples of how you've engaged with product owners and IT colleagues to deliver successful data solutions.
