At a Glance
- Tasks: Build a cutting-edge data platform using Microsoft Fabric and collaborate with senior stakeholders.
- Company: Leading energy research firm based in Oxford with a focus on innovation.
- Benefits: Hybrid work model, valuable benefits, and opportunities for professional growth.
- Other info: Join a collaborative team and enhance your career in data engineering.
- Why this job: Make a significant impact on data strategy in a dynamic industry.
- Qualifications: Over 2 years of experience in data solutions and strong problem-solving skills.
The predicted salary is between 48000 - 72000 € per year.
A leading energy research firm based in Oxford is seeking a Senior Data Engineer to join the Business Data team. This role involves building a business data platform using Microsoft Fabric while collaborating with senior stakeholders to define functional specifications for business intelligence reports.
Ideal candidates will possess over 2 years of experience delivering data solutions, strong problem-solving skills, and expertise in technologies like Python and Power BI. This position offers a hybrid work model and valuable benefits, making a significant impact on data strategy.
Senior Data Engineer: Scalable Platform with MS Fabric in Oxford employer: Aurora Energy Research
As a leading energy research firm based in Oxford, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in the field of data engineering. With a hybrid work model and a commitment to professional development, we offer valuable benefits and growth opportunities that enable our team members to thrive both personally and professionally in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Scalable Platform with MS Fabric in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Python and Power BI. This will not only impress but also demonstrate your hands-on expertise.
✨Tip Number 3
Ace the interview by preparing for common questions related to data engineering and Microsoft Fabric. We recommend practising your answers with a friend or using mock interviews 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 noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer: Scalable Platform with MS Fabric in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data solutions and technologies like Python and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Data Engineer position and how you can contribute to our business data platform. Let us know what makes you tick!
Showcase Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Aurora Energy Research
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric, Python, and Power BI. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Understand the Business Context
Since this role involves collaborating with senior stakeholders, it’s crucial to understand the energy sector and how data impacts business decisions. Research the company’s recent projects and think about how your skills can contribute to their data strategy.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Prepare examples from your experience where you successfully delivered data solutions, highlighting your thought process and the outcomes achieved.
✨Showcase Your Collaboration Skills
This role requires working closely with various teams. Be ready to share examples of how you've effectively collaborated with others in the past, especially when defining functional specifications or delivering reports.
