Staff Data Engineer, Data Platform & Solutions

Mirion Technologies is seeking a Staff Data Engineer to join their Data Platform team, where the role involves embedding within customer teams to build data solutions. The engineer will act as a technical leader, designing and deploying data pipelines and analytics solutions while mentoring junior engineers and improving the MEDIAN platform based on customer feedback.

Responsibilities:

• Act as a Solutions Architect, working with customer engineering teams to understand their data and analytics needs, then designing and building systems that meet those needs
• Design and build end-to-end data pipelines and analytics solutions using our in-house MEDIAN data platform (Databricks, Azure, etc.)
• Translate complex business requirements into technical architectures and implementation plans
• Write production-quality code and data models that serve as examples for other teams
• Troubleshoot complex data and integration issues, working across teams and systems
• Collect customer feedback and requirements, and provide your own experiences to feed insights back to the Data Platform team for roadmap prioritization of the MEDIAN platform
• Mentor junior engineers on the Data Platform Customer Success team and embedded teams on data engineering best practices
• Build and deliver training content and workshops to enable teams to use the data platform independently
• Establish technical patterns and reusable components for common data pipeline and analytics use cases
• Partner with the Product Owner to communicate customer needs and advocate for platform enhancements

Requirements:

• 5+ years of software engineering experience, with at least 3 years in data engineering, analytics, or solutions engineering
• Expert-level SQL and strong proficiency in Python or Scala
• Deep experience designing and building data pipelines, ETL/ELT systems, and analytics solutions
• Hands-on experience with modern data platforms (Databricks, Snowflake, BigQuery, etc.)
• Strong ability to communicate complex technical concepts to both technical and nontechnical audiences
• Proven ability to work independently and manage multiple projects simultaneously
• Experience mentoring junior engineers or working in a consulting/customer-facing role
• Understanding of cloud platforms (AWS, GCP, or Azure)
• Experience with Databricks and Delta Lake
• Background in solutions engineering, customer success, or consulting roles
• Familiarity with data modeling, dimensional design, and analytics best practices
• Experience with real-time data processing and streaming architectures
• Knowledge of data governance, data quality, and metadata management
• Experience in highly regulated industries or working with complex compliance requirements
• Ability to rapidly prototype and iterate on solutions
• Experience building internal platforms or enabling large teams of engineers