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.