At a Glance
- Tasks: Design and build data platforms and pipelines for advanced analytics and AI-driven decisions.
- Company: Biffa, a forward-thinking company transforming data usage across its business.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and data excellence.
- Why this job: Make a real impact in a data-driven future while solving complex challenges.
- Qualifications: 5+ years in data engineering, strong SQL and Python skills, and experience with Azure technologies.
The predicted salary is between 63000 - 77000 £ per year.
- Data Engineering
- Hybrid Role - 2 days office based
- Mon-Fri 37.5 hours per week
At Biffa, we're transforming how data is used across our business, moving beyond traditional reporting towards advanced analytics, automation, and AI-driven decision making.
As a Data Engineer, you'll play a key role in designing and building the data platforms, pipelines and architecture that underpin critical business insights across operations, customer services, finance and commercial functions.
Working with Microsoft Fabric, Azure Data Lake, Azure SQL and modern cloud technologies, you'll help create reliable, scalable and high-quality data solutions that enable better decisions, improve efficiency and unlock business value.
If you're passionate about data engineering, enjoy solving complex challenges, and want to make a real impact in a business that's investing heavily in its data future, we'd love to hear from you.
- Your core responsibilities
- Design, build and maintain scalable data pipelines and data integration solutions.
- Develop and support data ingestion, transformation and storage processes.
- Work with business, analytics and application teams to deliver trusted data products.
- Ensure data is reliable, secure, performant and available for reporting and analytics.
- Support data quality, monitoring, troubleshooting and issue resolution.
- Contribute to data architecture, standards and engineering best practices.
- Produce technical documentation and provide knowledge transfer to internal teams.
- Our essential requirements
- 5+ years' experience in data engineering or related data platform roles.
- Strong understanding of data warehousing, lakehouse and analytical data architectures.
- Expertise in SQL, Python and data modelling techniques
- Experience with Azure Data Factory, Microsoft Fabric and/or Azure Data Services.
- Proficiency in data transformation and orchestration technologies.
- Experience working with structured, semi-structured and large-volume datasets.
- Knowledge of data governance, security and data quality practices.
- Strong troubleshooting, optimisation and performance tuning skills.
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Data Engineer in High Wycombe employer: Biffa Waste Services
At Biffa, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technologies in a hybrid environment, allowing for a balanced work-life experience. Join us in our mission to revolutionise data usage, where your contributions will directly impact our operations and drive meaningful change in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in High Wycombe
✨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 Biffa Waste Services!
✨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 Biffa Waste Services.
✨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 Biffa Waste Services.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Biffa Waste Services, 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 in High Wycombe
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 Biffa Waste Services, 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 Biffa Waste Services. 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 Biffa Waste Services
✨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 Biffa Waste Services!
✨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.
