• Lead the development of scalable, robust analytical models using DBT. • Ensure the implementation of modeling standards (dimensional and/or relational) and analytics engineering best practices. • Create, test and document transformations, ensuring data quality, reliability, traceability and governance. • Develop and maintain complex data pipelines using Airflow (or equivalent orchestration tools), applying versioning, modularity, observability and DataOps best practices. • Integrate different data sources (structured and unstructured), ensuring efficient, resilient and monitorable processes. • Optimize queries, structures and costs in cloud Data Warehouses (such as BigQuery, Redshift, Snowflake or similar), applying advanced performance tuning techniques. • Ensure governance, security, access control (IAM), partitioning, clustering and dataset versioning. • Collaborate with Data Analysts and Data Scientists to enable the consumption of reliable, well-documented and semantically organized datasets. • Evangelize technical standards, transformation best practices and governance across the organization. • Create and support dashboards and analytical products using BI tools (Looker, Power BI, Tableau or similar). • Work with Engineering, Product, Business and Data Governance teams to ensure data integration, consistency and quality. • Participate in defining and evolving modern cloud data architecture (GCP or AWS), proposing continuous improvements.

• Provide on-site support during implantation and follow-up procedures involving Class III medical devices. • Troubleshoot technical issues during procedures and provide immediate, clinically sound recommendations. • Act as the subject matter expert (SME) on device function and clinical applications. • Educate physicians, nurses, and allied health professionals on device functionality, therapy benefits, and procedural workflows. • Conduct in-service trainings, workshops, and ongoing clinical education for new and existing users. • Support collection of clinical data and user feedback to support regulatory submissions, product development, and continuous improvement efforts. • Document field interactions in compliance with quality and regulatory standards. • Work closely with R&D, Regulatory, Safety, and Commercial teams to relay device deficiencies, clinical insights and support product refinements. • Assist with investigational device trials, product evaluations, and site initiation visits (as applicable).

• Lead the design and development of internal tools that support game development, build pipelines, and developer workflows • Design, implement, and maintain build systems and CI/CD pipelines as first-class tools used daily by the engineering team • Develop robust, maintainable tools and automation using C#, Python, and Bash • Gather requirements from engineers and other disciplines, translate them into practical tooling solutions, and iterate based on feedback • Improve and optimize existing tools, build processes, and pipelines for reliability, performance, and usability • Work with command-line–driven build systems, including Unity batch mode, Xcode CLI, and similar tooling • Design and maintain cloud-backed tooling and infrastructure using AWS CDK and CloudFormation where appropriate • Take ownership of critical shared tools and systems, ensuring they remain stable, well-documented, and easy to evolve • Provide technical leadership and mentorship to other engineers, particularly around tooling, build systems, and CI/CD best practices. • Identify systemic workflow or productivity issues and propose well-thought-out tooling solutions • Participate in and help guide code reviews, architectural discussions, and engineering best practices • Collaborate with all departments to ensure our tools and systems make teams efficient and our games great

• Oppstart og testing av større generatorer • Stillstands kontroller • Ringprøve av statorblikk samt beregning av denne • PD/tangens delta målinger