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.
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