Data Engineer - Azure Data Factory, Power BI & Lakehouse in Duxford

Data Engineer - Azure Data Factory, Power BI & Lakehouse in Duxford

Duxford Bachelor 50000 - 65000 £ / year (est.) No working from home possible
Hexcel

At a Glance

  • Tasks: Design and deliver end-to-end data solutions using Azure and Microsoft Fabric.
  • Company: Join Hexcel, a leader in innovation and technology.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on innovation and excellence.
  • Why this job: Make an impact by optimising data solutions and working with cutting-edge technologies.
  • Qualifications: Bachelor's degree in Computer Science and experience in data engineering.

The predicted salary is between 50000 - 65000 £ per year.

Hexcel is currently seeking a Data Engineer for our Duxford, UK location. The selected individual will be responsible for designing and delivering end-to-end data solutions across Azure and Microsoft Fabric platforms, as well as developing and optimizing Power BI semantic models.

This role requires a Bachelor's degree in Computer Science or equivalent, along with strong experience in data engineering and Azure Data Factory. Join Hexcel and contribute to our innovative team!

Data Engineer - Azure Data Factory, Power BI & Lakehouse in Duxford employer: Hexcel

Hexcel is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Data Engineers to thrive. Located in Duxford, UK, employees benefit from a supportive work environment that prioritises professional growth and offers opportunities to work with cutting-edge technologies like Azure and Power BI. Join us to be part of a dynamic team where your contributions will directly impact our success and drive meaningful change.

Hexcel

Contact Details:

Hexcel Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer - Azure Data Factory, Power BI & Lakehouse in Duxford

Get Involved in Data Science Communities

Join online platforms like Kaggle, GitHub, or local meetups focused on data science. Contributing to open-source projects or competing in data challenges can really boost your visibility and showcase your skills to potential employers like Hexcel.

Utilise University Career Services

Tap into your university’s career services for internships or early-talent programmes specifically tailored for data science students. They often have connections with companies like Hexcel who are on the lookout for fresh talent, so don’t miss out on those opportunities!

Show Off Your Projects

Create a portfolio that highlights your data analysis projects, especially any real-world applications. Sharing your projects on platforms like GitHub or even a personal website allows recruiters at places like Hexcel to see what you can achieve beyond your degree.

Be Active on LinkedIn

Don’t just use LinkedIn to connect; share your insights on data trends or engage with posts from industry leaders. This can really help you stand out when applying for roles at companies like Hexcel.

We think you need these skills to ace Data Engineer - Azure Data Factory, Power BI & Lakehouse in Duxford

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Engineering
API Integration

Some tips for your application 🫡

Show Off Your Technical Skills!:When applying for a data science internship like the one at Hexcel, make sure your CV highlights relevant technical skills such as programming languages (like Python or R), data visualisation tools, and statistical analysis. Include projects or coursework that illustrate your hands-on experience with these skills—this grabs our attention!

Include Your Side Projects:Data science is all about practical application, so don’t be shy about showcasing any side projects or personal initiatives—like a cool data analysis you did or a Kaggle competition you joined. This is the perfect way to demonstrate your passion for the field and your ability to apply what you’ve learnt.

Craft an Engaging Cover Letter:This isn’t just another application; it’s your chance to tell us why you’re all about data science! In your cover letter, reflect on why this internship excites you and how it fits into your learning journey. Let us see your enthusiasm and potential for growth in this field—it's a huge plus!

Keep It Clean and Professional:While we love creativity, keeping your CV and cover letter clear and professional is super important. Make sure they're easy to read with a nice layout. Use bullet points to highlight key achievements—this makes it easier for us to find the juicy bits quickly. And seriously, don’t forget to apply through our website!

How to prepare for a job interview at Hexcel

Master the Tech Stack

As we're diving into data science for an internship level, brush up on the key tools and languages like Python, R, and SQL. You might be asked to demonstrate your knowledge through practical coding exercises, so ensure you can confidently run through basic algorithms or data manipulation tasks during your interview.

Portfolio Power

Make sure your portfolio shines! Bring examples of projects you've worked on, showcasing your data analysis and visualisation skills. Especially for an internship, having real-world applications of your coursework or personal projects can really set you apart and spark great conversations.

Explain Your Thought Process

Data science isn't just about crunching numbers; it's about communicating insights too. Prepare to explain your methodologies clearly. For instance, if asked about a project, outline how you approached the problem, what data you collected, and what insights you derived. This shows your analytical thinking and problem-solving skills.

Show Your Curiosity

For a bachelor's level position, the interviewers will be keen to see your enthusiasm and willingness to learn. Think of ways to discuss how you stay updated with the latest trends in data science or any online courses you've taken. This reflects not just your technical skills, but your passion for the field, which is crucial for an internship position.