Senior Data Platform Engineer
SKILLS
FULL DESCRIPTION
Senior Data Platform Engineer
Primary location: Salford (M50 3SP) or Staines (TW18 3DZ) or London (EC2R 7HJ)
Flexible / Hybrid working options.
Permanent
Salary Negotiable depending on experience & location
10% Bonus+ fantastic benefits
Full time 37.5 hours
We consider all types of flexibility, including locations, hours and working patterns.
We make health happen
At [Employer hidden — view at passion-project.co.uk], we're passionate about technology. With colleagues, customers, patients and residents in mind you'll have the opportunity to work on innovative projects and make a real impact on their lives. Right from the start you'll become part of our digital & data strategy, joining us on our journey and developing yourself along the way.
Job Description:
Join our team as a Senior Platform Engineer, where you'll contribute to the design and operation of a scalable, secure enterprise data platform supporting advanced analytics and business intelligence in a healthcare and insurance setting. You'll work with high autonomy, mentor junior engineers, and drive technical excellence while ensuring compliance and performance. This is a key role in shaping a robust, automated data platform that powers better patient care and smarter insurance services.
Please note: this is a Platform Engineering role rather than a Data Engineering position. We welcome applications from data engineers who also bring strong platform engineering experience - for example, working with IaC, Terraform, or similar tooling.
How you'll help us make health happen:
- Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components.
- Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments.
- Build and optimize CI/CD pipelines using Azure DevOps and GitHub Actions to support rapid, reliable deployments.
- Implement observability practices including logging, metrics, and alerting using observability tools.
- Collaborate with the Lead Engineer and Architects to align implementation with platform standards and patterns.
- Provide technical guidance and mentorship to mid-level engineers, promoting best practices in automation and. monitoring
Key Skills / Qualifications needed for this role:
- Extensive experience in platform engineering, with a strong emphasis on Azure-based data solutions.
- Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric.
- Proven experience with infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions.
- Strong grasp of observability practices, including logging, metrics, alerting, and performance optimization.
- Deep understanding of cloud security, with experience applying secure-by-design principles in Azure and/or Snowflake (e.g., network isolation, IAM, data protection).
- Proficiency in scripting and automation using PowerShell, Bash, or Python.
- Collaborative mindset, with a proven track record of working effectively across engineering, data science, and business teams.
- Clear communicator, capable of documenting technical designs, contributing to platform standards, and presenting solutions to stakeholders.
- Leadership experience, including mentoring junior engineers and fostering a culture of continuous improvement and knowledge sharing - highly desirable.