Senior & mid-level Data Platform Engineers

We are working with a global healthcare and insurance organisation who are making a real difference to people's lives.

We require experienced senior or mid-level Data Platform Engineers to join the AI and Data Platform teams.

70,000 - 100,000 + Bonus + Excellent Benefits

Fully remote with occasional travel to one of their offices.

Expert Terraform knowledge is an absolute must so if you have the certifications and 5 years+ experience then this could be the role for you.

You will 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.

Role

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 optimise 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 optimisation.

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.

This is majority remote based although you will need to attend the office in either London or Manchester when needed.

This company look after their employees and you can expect a large bonus plus some excellent benefits.

We are interviewing currently so apply now for immediate consideration for the Senior or mid-level Data Platform Engineer positions or contact Stuart Barnes at ITSS Recruitment for further information.