Data Engineer

Overview

In this Data Engineer role at Biffa, you’ll design and build scalable data pipelines and platforms that power analytics across operations, customer services, finance and commercial functions. You’ll work with cloud technologies to enable reliable, secure and high-quality data for decision making. You’ll collaborate with analytics and application teams to deliver trusted data products and maintain data quality and governance. This role sits at the heart of Biffa’s data-driven transformation, offering meaningful impact at scale. You’ll be part of a changing, data-led environment focused on AI-enabled decision making.

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 and issue resolution
• Contribute to data architecture, standards and engineering best practices
• Produce technical documentation and provide knowledge transfer to internal teams

Key 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

• SQL
• Python
• data modelling techniques
• Azure Data Factory
• Microsoft Fabric
• Azure Data Services