Data Engineer

Job Title: Data Engineer

Location: York, 4x per week

Salary: Up to £65,000

Why Apply?

This is an opportunity to step into a high-impact Data Engineer role within a growing organisation that is investing heavily in its data capabilities. You'll play a central role in shaping a modern, cloud-based data platform that underpins analytics, reporting, and data products across the business.

You will drive business value by designing, building, and maintaining a scalable, secure data platform. Delivering robust data pipelines and trusted datasets that support advanced analytics and reporting.

Key responsibilities include:

• Designing, implementing, and maintaining cloud-based data pipelines and ETL processes
• Building scalable data models to support analytics, reporting, and data products
• Collaborating with stakeholders to translate data requirements into effective technical solutions
• Ensuring data integrity, security, governance, and compliance across all data assets
• Implementing data observability, monitoring, metadata, and lineage tracking
• Developing and maintaining CI/CD pipelines for data engineering workloads
• Troubleshooting and resolving data platform issues, minimising business impact
• Driving continuous improvement in data engineering standards, performance, and scalability
• Acting as a subject matter expert in data architecture and best practices

Requirements:

• Proven experience building and maintaining data pipelines and ETL processes in a cloud CI/CD environment
• Strong SQL skills and experience with relational and non-relational databases
• Proficiency in Python for data processing and automation
• Experience troubleshooting complex data issues and delivering robust solutions
• Strong attention to detail and commitment to data quality
• Ability to manage workload, prioritise effectively, and meet deadlines

Desirable:

• Experience with Azure or Microsoft Fabric data architecture
• Knowledge of data governance, data quality frameworks, and security best practices
• Familiarity with Agile delivery environments
• Experience preparing data for LLM or data agent readiness
• Exposure to data cataloguing tools and metadata management

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.