Data Engineer
BRIO DIGITAL LTD
Leeds, UK
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£130,000.0
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Amazon Web Services
Amazon S3
Continuous Integration
Data as a Services
Data Architecture
Information Engineering
Data Governance
Extract Transform Load (ETL)
Data Systems
Python (Programming Language)
MongoDB
+16 more
NoSQL
Cloud Services
Standard Sql
SQL Stored Procedures
Sql Optimization
Fast Healthcare Interoperability Resources
Apache Spark
Kubernetes
Health Level Seven International
Data Management
Functional Programming
Terraform
Software Version Control
Data Pipelines
Docker
Databricks
Job description
Brio Digital are supporting a HealthTech consultancy who require a Data Engineer to support an ongoing transformation project across NHS data platforms. What You’ll Do
- Design and maintain end-to-end data pipelines within the AWS ecosystem
- Build reliable data solutions using Databricks, Python, and SQL
- Integrate and optimise data from diverse sources, including MongoDB
- Develop and maintain ETL processes for analytical and operational use
- Implement data quality, governance, and testing frameworks
- Collaborate with data analysts, scientists, and delivery teams to ensure accessible, trusted data
- Contribute to the evolution of scalable, cloud-native data architectures
Requirements
- Strong hands-on experience with Python for ETL and data engineering
- Advanced SQL skills across data modelling, optimisation, and stored procedures
- Experience with AWS Data Services (e.g., Glue, Redshift, S3, Lambda, Databricks)
- Familiarity with MongoDB or other NoSQL databases
- Understanding of modern data architecture and data governance principles
- Experience with CI/CD, version control, and agile project delivery
- Strong problem-solving and stakeholder collaboration skills
Nice-to-Have
- Exposure to NHS or healthcare data sources
- Knowledge of FHIR or other healthcare data standards
- Experience tuning Spark workloads in Databricks
- Familiarity with Docker, Kubernetes, or Terraform
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