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- Tasks: Design and implement high-level data reporting solutions for the energy and defence sectors.
- Company: Global tech provider shaping the future of nuclear power.
- Benefits: Up to £62,000 salary, 18% pension, and private medical insurance.
- Why this job: Join a brand-new team and make an impact in cutting-edge technology.
- Qualifications: Strong Power BI, Python, and SQL skills required.
- Other info: Hybrid working model with excellent career growth opportunities.
The predicted salary is between 43200 - 62400 £ per year.
Data Engineer Opportunity - Bristol (Hybrid) - Salaries up to £62,000 + 10% Employer Pension Contribution.
Hays have partnered with a global technology & solutions provider that specialises in delivering cutting-edge solutions to the energy and defence sectors worldwide. Their newest business unit has been formed specifically to help shape the global future of nuclear power. They are looking for a skilled and enthusiastic Data Engineer to join this brand-new team, and help with the design, development, and implementation of high-level data reporting / processing solutions.
This is a permanent role, aimed at Data professionals local to Bristol, comfortable working in a hybrid working capacity from their site in Aztek West (3/2). We are interested in speaking to candidates with a strong Power BI skill set, proficiency in Python development for data processing and automation, and solid knowledge of SQL / Oracle database systems.
Our client can offer the following package:
- Basic salaries of up to £62,000, dependent on experience and skill set
- Bespoke career pathways for more junior applicants
- Up to 18% Pension (10% company, 8% employer)
- 25 days annual leave with the option to buy and sell
- Certifications / Education Allowance
- Private Medical Insurance / Dental Scheme
- Electric Car Scheme
Desired Skills and Experience: Data Engineer, Data, Power BI, Business Intelligence, ETL, Data Analyst, Data Architect.
Data Engineer employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 Power BI projects, Python scripts, and any SQL databases you've worked with. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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’re always looking for talented individuals like you to join our team!
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 Power BI skills, Python experience, and SQL knowledge. We want to see how your background fits 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 data engineering and how you can contribute to our new team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from a previous job, we love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Hays
✨Know Your Tech
Make sure you brush up on your Power BI, Python, and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools, as this will show your practical experience and understanding of data engineering.
✨Understand the Company
Research the company’s focus on nuclear power and their role in the energy and defence sectors. This knowledge will help you tailor your answers and demonstrate your genuine interest in their mission and how you can contribute.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or describe how you would handle certain data challenges. Practise articulating your thought process clearly, as this will showcase your analytical skills and problem-solving abilities.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, the technologies they use, or the future projects they have in mind. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
