Overview
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 h
Full job description
Full Job Description
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.
Changing the way people think about waste.
At Biffa, we love working with waste. Whether we’re turning it into sustainable power, finding new ways to recycle it or simply keeping it off the streets, we believe every day is an opportunity to improve the lives of millions. It’s a view that’s shared by our 11,000+ people around the country, who trust us to provide them with a career that’s always rewarding, often challenging, but never dull. And it’s why we’re the UK’s No. 1 choice for business waste management..
Dedicated to diversity.
Being inclusive is core to our culture at Biffa; we believe different ideas, perspectives and backgrounds are key to developing a creative and effective working environment that represents our communities and generates the best outcomes for colleagues, customers and stakeholders, which is why you’ll find us championing diversity, equity and inclusion at every turn.
Qualifications And Requirements
Mid-Senior level
Requirements & qualifications
Mid-Senior level
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