• Develop and maintain robust ELT pipelines and transformation models. • Support and optimise our Snowflake data warehouse performance. • Build and maintain dbt models, ensuring associated documentation is current. • Monitor and troubleshoot failures across data pipelines, Airbyte connectors, schema changes, and ingestion issues. • Support critical Tableau reporting datasets and meet downstream reporting requirements. • Drive improvements in reliability, governance, and observability across the entire data platform. • Support Finance and commercial reporting needs, including revenue recognition, P&L, and margin analysis. • Work closely with stakeholders across Finance, Commercial, Product, and Operations. • Contribute actively to initiatives focused on data quality, metric consistency, and documentation.

Role Description With decades of expertise, RadNet is leading radiology forward. When you join RadNet as a Data Discovery Engineer, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders—patients, providers, payors, and regulators—to achieve the best clinical outcomes. You Will: - Partner with data stewards, governance teams, and business leaders to ensure data is well-defined and properly cataloged. - Work closely with business users to understand how data is used and ensure documentation reflects real-world applications. - Act as a liaison between technical and business teams, translating data needs into cataloging and governance priorities. - Support data literacy initiatives, ensuring that teams can confidently access and use data. - Build and maintain a trusted data catalog, providing clear definitions, business context, and lineage tracking. - Define and enforce metadata standards to ensure consistency across the organization. - Ensure that cataloged data is accurate, up-to-date, and aligned with business processes. - Improve data accessibility by refining documentation, making it easy for users to search and understand. - Align data cataloging efforts with the organization’s data governance and compliance frameworks. - Work with governance teams to establish policies that ensure data integrity and responsible usage. - Support data quality initiatives by ensuring metadata includes ownership, accuracy, and classification details. - Promote strong data stewardship practices, ensuring accountability for data management. - Ensure business terms, metadata, and catalog definitions are structured to enhance AI-driven data retrieval. - Collaborate with technical teams to improve data discoverability through advanced search and intelligent recommendations. - Work with governance and security teams to ensure AI-enabled data access aligns with compliance and security policies. - Develop a deep understanding of business processes and key datasets, ensuring that data is properly contextualized. - Work with business users to translate data needs into cataloging requirements, making data easier to find and use. - Provide training and support to help teams effectively navigate and leverage the data catalog. - Act as a trusted resource, ensuring that the relationships between data elements are well-documented and easily understood. Qualifications - Experience working with data governance frameworks and metadata management. - Strong ability to engage with both business and technical stakeholders, ensuring alignment. - Excellent analytical skills, with the ability to understand and document complex business processes. - Ability to drive data stewardship initiatives, ensuring accountability and proper classification. - Strong written and verbal communication skills, with experience in documentation and training. - Familiarity with modern data discovery techniques, including AI-driven search. - Experience with enterprise data catalog tools and metadata management platforms. - Familiarity with data governance best practices and regulatory compliance standards. - Previous experience in business intelligence, analytics, or data management roles. - Exposure to AI-driven query generation and intelligent search solutions. Benefits - Comprehensive Medical, Dental and Vision coverages. - Health Savings Accounts with employer funding. - Wellness dollars. - 401(k) Employer Match. - Free services at any of our imaging centers for you and your immediate family. Pay Range $85,000.00 - $130,000.00 per year

• Own and streamline data pipelines from ingestion to delivery, ensuring they are reliable, scalable, and efficient. • Implement and maintain dbt best practices, data standards, and quality controls. • Build self-service tooling and write clear documentation to empower cross-functional teams (Engineering, Revenue Operations, Growth, and others) to independently meet their data needs. • Create AI agents to serve data questions for others.

Role Description We’re looking for a Data Engineer to join our growing EMEA team. This is an exciting opportunity for a hands-on engineer who enjoys building scalable data pipelines, working with modern cloud technologies, and delivering solutions that directly support sports, live events, venues, and operational environments. You’ll work closely with Data Engineering Leads, Analytics, Product, and Platform teams to help turn raw data into reliable, analytics-ready assets that power reporting, operations, AI initiatives, and customer-facing products. This is a delivery-focused role where your work will have real visibility and impact across global projects and clients. What You’ll Do - Build and maintain modern data pipelines across ingestion, transformation, validation, and serving layers - Work with APIs, databases, files, event streams, and third-party data sources - Support reliable batch and near real-time data processing workflows - Develop reusable transformation logic and trusted datasets for analytics and reporting - Collaborate with Product Owners, Analysts, QA, DevOps, and Engineering teams to support smooth delivery - Contribute to strong engineering standards across testing, CI/CD, monitoring, documentation, and code reviews - Support troubleshooting, optimisation, and operational support across cloud-based environments - Help improve data quality, observability, scalability, and long-term maintainability of solutions - Contribute to reusable engineering patterns, delivery standards, and continuous improvement initiatives across EMEA teams - Support a product-aware engineering mindset focused on usability, reliability, and business value Qualifications - Strong SQL skills and experience building production-ready data pipelines - 3–6 years’ experience in Data Engineering, ETL/ELT development, Analytics Engineering, or related technical roles - Experience with cloud platforms such as AWS, Azure, or GCP - Familiarity with tools such as dbt, Spark, Airflow, Dagster, or similar orchestration and transformation technologies - Experience working with data warehouses, lakehouse platforms, or distributed data environments - Good understanding of software engineering practices including Git, testing, CI/CD, and code reviews - Experience working with APIs, files, databases, and third-party data sources - Exposure to data quality, lineage, monitoring, and operational support practices - Strong problem-solving skills and attention to detail - Strong communication and collaboration skills - Experience in consulting, client-facing, or distributed delivery environments is beneficial - Right to live and work in the relevant European hiring location is required Nice to Have - Experience within Sports, Entertainment, Stadiums, or Live Events - Exposure to real-time or event-driven data architectures - Experience supporting analytics, AI, or operational reporting initiatives - Familiarity with modern DevOps and cloud deployment practices - Interest in building reusable data products and trusted reporting datasets - Passion for sports, live environments, and technology-driven experiences Benefits - Growth: Scale your career with diverse projects and continuous learning. - Flexibility: Embrace a work-life balance with flexible hours and remote work opportunities. - Impact: Your work directly transforms the venue experience for millions. - Culture: Collaborate with a passionate team in a dynamic, innovative environment. - Benefits: Competitive compensation, fun team events and opportunities for personal and professional growth.