TL;DR

Data Engineer: Designing, building, and maintaining a modern, cloud-based data platform with an accent on scalable data pipelines, data integrity, and CI/CD processes. Focus on implementing robust data models, ensuring data governance, and supporting advanced analytics and reporting.

Location: York, 4x per week onsite

Salary: Up to £65,000 per annum

Company

%hirify_global% is a growing organisation investing heavily in its data capabilities.

What you will do

Design, implement, and maintain cloud-based data pipelines and ETL processes
Build scalable data models to support analytics, reporting, and data products
Collaborate with stakeholders to translate data requirements into technical solutions
Ensure data integrity, security, governance, and compliance
Implement data observability, monitoring, metadata, and lineage tracking
Develop and maintain CI/CD pipelines for data engineering workloads

Requirements

Location: York, 4x per week onsite
Proven experience building and maintaining data pipelines and ETL in cloud CI/CD environments
Strong SQL and Python skills
Experience troubleshooting complex data issues
Strong attention to detail and commitment to data quality
Ability to manage workload and meet deadlines

Nice to have

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