At a Glance
- Tasks: Design and deliver innovative data solutions using Azure and Microsoft Fabric.
- Company: Join Hexcel, a global leader in advanced composites technology.
- Benefits: Competitive salary, career growth, and a culture of continuous improvement.
- Other info: Dynamic work environment with opportunities for learning and collaboration.
- Why this job: Make an impact in a cutting-edge industry with exciting data engineering projects.
- Qualifications: Bachelor’s degree in Computer Science or equivalent, with strong data engineering experience.
The predicted salary is between 50000 - 65000 £ per year.
With our strong investment in research and development and our culture of continuous improvement, Hexcel is the industry leader in the manufacturing of advanced composite materials, including carbon fiber, woven reinforcements, resins, prepregs, honeycombs and additive manufactured parts. We invite you to join the Hexcel team at various manufacturing sites, sales offices and R&D centers around the globe. Become a part of the “strength within.”
Hexcel is currently seeking a Data Engineer for our Duxford, UK location. The selected individual will be responsible for but not limited to the following obligations:
- Design and deliver end-to-end data solutions across Azure and Microsoft Fabric platforms.
- Develop and optimise enterprise-grade Power BI semantic models and reporting solutions.
- Build and maintain scalable, high-performance data pipelines using Azure Data Factory and Fabric.
- Engineer lakehouse architectures using medallion layers (Bronze, Silver, Gold).
- Design and implement star schemas and analytical data models aligned to business needs.
- Develop and optimise data transformations using PySpark/Spark.
- Integrate data from on-premise and cloud systems into centralised platforms.
- Create reusable pipelines, datasets, and data components to improve delivery efficiency.
- Ensure data quality, performance, governance, and reliability across all data assets.
- Implement DataOps practices including CI/CD, monitoring, version control, and production support.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience, with proven experience in data engineering, analytics engineering, or a similar role.
- Strong experience with Azure Data Factory and modern data integration patterns.
- Advanced Power BI capability including semantic data modelling, DAX, and performance optimisation.
- Strong proficiency in SQL and data modelling for analytics-ready solutions.
- Experience with Azure cloud data platforms and modern data architectures.
- Knowledge or experience of Microsoft Fabric, including lakehouse/warehouse concepts and Power BI integration.
- Experience with PySpark/Spark-based data processing (e.g. Databricks or Fabric).
- Understanding of DataOps principles, including CI/CD, automated testing, monitoring, and data lifecycle management.
- Experience designing medallion (Bronze/Silver/Gold) architectures, lakehouse patterns, and batch/near-real-time processing.
- Awareness of enterprise data needs, including AI/ML enablement, governance, security, reusable data assets, plus strong problem-solving, collaboration, and continuous learning mindset.
Candidates must be eligible to work in the country where the position is based.
Data Engineer employer: Hexcel
Hexcel is an exceptional employer, offering a dynamic work environment in Duxford, UK, where innovation and continuous improvement are at the forefront of our operations. Employees benefit from a strong commitment to professional growth, with opportunities to engage in cutting-edge projects in data engineering and advanced composite materials. Our collaborative culture fosters creativity and teamwork, ensuring that every team member contributes to our mission of excellence in the aerospace industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hexcel!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Hexcel.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hexcel.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Hexcel, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hexcel, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hexcel. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hexcel
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hexcel!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
