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a fast-growing global medical device company, developing and manufacturing innovative drug delivery and infusion solutions across the continuum of care- from the hospital to the home. We are seeking a BI Developer who is hands-on, analytical, and detail-oriented. Youll work across the data lifecycle, from pipeline design to dashboard delivery to support decision-making across the business. Reporting to: Business Applications Manager
Job Description In this role, youll design and maintain BI solutions that support business reporting and insights. You will build robust ETL pipelines, create data models and deliver insightful dashboards with Power BI. This position requires someone who is both a strong team player and an independent problem-solver, proactive, and eager to continuously grow. Job Responsibilities Develop and maintain ETL pipelines using Azure data Factory to support BI reporting. Design and implement data models: staging layers, fact and dimension tables, MRR tables. Build and optimize Power BI dashboards and analytical reports. Implement data monitoring and alerting to proactively identify and resolve issues (e.g., failed refreshes). Work closely with business users to gather requirements and deliver accurate, timely insights. Ensure data accuracy, availability, and performance across the BI environment. Contribute to BI best practices and documentation.

DRS RADA is looking for a Manufacturing Systems Implementer to join our Applications team. We are seeking a service-oriented individual with excellent interpersonal skills, a strong understanding of manufacturing processes, and the ability to work effectively across multiple interfaces. Experience with MES systems is an advantage but not required — the key requirement is a strong background in production and planning in a manufacturing environment. Key Responsibilities:
* Implement and configure manufacturing-related systems, including MES and ERP, according to company needs.
* Collaborate with production, planning, engineering, and quality teams to understand and translate manufacturing processes into digital solutions.
* Provide ongoing support and troubleshooting for MES and ERP systems.
* Conduct training sessions for end-users to ensure smooth adoption of new processes and systems.
* Develop and maintain documentation related to system implementation and usage.
* Support system integrations between MES, ERP, PLM, and other company platforms.
* Ensure data integrity and compliance with quality and security standards
*  Drive and manage MES - related projects from inception to completion.
* Contribute to continuous improvement initiatives to optimize production and planning processes.

DRS RADA is a global leader in cutting-edge radar solutions for active military protection, counter-drone systems, critical infrastructure security, and border surveillance. Our mission is to deliver reliable, innovative technologies that safeguard lives and assets. Role Summary: As the Quality Program Manager, you will spearhead the quality assurance strategy across R&D, Product, and Operations, ensuring our systems meet the highest standards of reliability, compliance, and performance. You will lead Quality team, define scalable processes, and drive a culture of continuous improvement in a fast-paced, Agile environment. Key Responsibilities: Strategic Quality Leadership
* Develop and execute the Quality Plan, aligning with program milestones and business objectives.
* Establish KPIs, metrics, and risk-based QA methodologies to monitor product reliability and process adherence.
* Lead internal/external audits and ensure compliance with defense industry regulations. Cross-Functional Collaboration
* Partner with R&D, Product, and Delivery teams to embed QA early in the development lifecycle (SDLC).
* Drive Agile/Scrum QA practices, including CI/CD pipelines, automated testing, and failure analysis.
* Mentor QA teams and engineers, fostering technical growth and accountability. Process Excellence & Innovation
* Design and optimize QA processes for hardware/software integration (e.g., radar systems, embedded software).
* Leverage statistical analysis(e.g., Weibull, MTBF) to predict and improve system reliability.
* Implement corrective/preventive actions (CAPA) based on field data and test results.