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- Tasks: Build and maintain data pipelines for cutting-edge nuclear projects.
- Company: Vulcain Engineering, a global leader in sustainable engineering solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a team shaping the future of nuclear energy with innovative data solutions.
- Qualifications: Experience in data engineering and a passion for technology.
- Other info: Be part of groundbreaking projects like Hinkley Point C.
The predicted salary is between 36000 - 60000 £ per year.
Location: Hybrid – Bristol
About Vulcain Engineering
Vulcain Engineering, an international engineering consultancy, supports global industrial leaders in their transition to a more responsible and sustainable future. We support our customers in the design, construction, commissioning and operation of their complex infrastructure projects that will shape the world of tomorrow. With operations in 17 countries and employing over 6,000 staff worldwide, our business responds to the needs of our clients by delivering high-value engineering expertise tailored to our clients’ most complex challenges. In the UK, we have a key focus in the Nuclear sector, contributing to ground breaking projects, such as Hinkley Point C (HPC).
The Position:
The Data Engineer is responsible for building and maintaining robust data ingestion, transformation, and loading pipelines that underpin the analytics platform on Hinkley Point C (HPC). Working from designs and requirements defined within the data team, this role ensures the delivery of high-quality and reliable data to support business intelligence and analytical outcomes.
Some of the main responsibilities of the Data Engineer will include:
- Review and interpret requirements and solution designs to deliver scalable, maintainable data products.
- Understand solution architecture and business objectives, ensuring data products support monitoring of safety, quality, time, and cost.
- Design and implement data pipelines connecting operational systems to analytics and BI platforms.
- Develop and optimise ETL/ELT processes to deliver reliable, high-performing data flows.
- Document source-to-target mappings and transformation logic.
- Re-engineer manual data processes to enable automation, scalability, and reuse.
- Support the development and operation of batch and streaming data processing solutions.
- Build reusable BI datasets and semantic models to support reporting and analytics.
- Ensure data is high quality, accessible, and aligned with data standards and architectural principles.
- Apply agile delivery practices using Azure DevOps to manage work items, dependencies, and issues.
Preferred Profile: Alongside a commitment to our values of Care
Data Engineer (Nuclear) employer: Vulcain Engineering - UK
Contact Detail:
Vulcain Engineering - UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Nuclear)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Vulcain Engineering. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects related to data engineering, make sure to highlight them during interviews. We love seeing real-world applications of your expertise!
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of data pipelines, ETL processes, and Azure DevOps. Being able to discuss these topics confidently will definitely impress the hiring team.
✨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, it shows you’re genuinely interested in joining our team at Vulcain Engineering.
We think you need these skills to ace Data Engineer (Nuclear)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, ETL processes, and any relevant projects you've worked on, especially in the nuclear sector if applicable. We want to see how your skills align with 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 the role and how your background makes you a great fit. Don’t forget to mention your understanding of the importance of data quality and reliability in engineering projects.
Showcase Your Technical Skills: Be sure to list your technical skills clearly, especially those related to data ingestion, transformation, and loading. Mention any tools or technologies you’re familiar with, like Azure DevOps, as they’re super relevant to the position we’re hiring for.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Vulcain Engineering - UK
✨Know Your Data Inside Out
Make sure you’re well-versed in data ingestion, transformation, and loading pipelines. Brush up on your ETL/ELT processes and be ready to discuss how you’ve implemented these in past projects. Vulcain Engineering will want to see that you can deliver high-quality data products.
✨Understand the Nuclear Sector
Familiarise yourself with the specific challenges and regulations within the nuclear industry. Being able to speak knowledgeably about projects like Hinkley Point C will show that you’re not just a data engineer, but one who understands the unique context of their work.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you’ve tackled complex data challenges in the past. Vulcain Engineering values innovative solutions, so think about times when you’ve re-engineered manual processes or optimised data flows to improve efficiency.
✨Be Agile and Collaborative
Since the role involves using Azure DevOps and agile practices, be ready to discuss your experience with these methodologies. Highlight how you’ve worked in teams to manage dependencies and issues, as collaboration is key in delivering successful data solutions.
