• Diseñar, desarrollar, probar y desplegar pipelines y plataformas de datos utilizando servicios AWS. • Implementar y mantener arquitecturas Data Lake, Lakehouse o Data Mesh. • Colaborar con equipos de Data Engineering, Analytics y DevOps para entregar soluciones alineadas a necesidades del negocio. • Asegurar el cumplimiento de políticas de gobierno, seguridad y gestión de datos. • Identificar, diagnosticar y resolver incidencias relacionadas con datos y apoyar procesos de gestión del cambio. • Asumir la responsabilidad completa de los proyectos desde su inicio hasta la entrega final.

Role Description Experienced YOGA / PILATES teachers wanted across all London postcodes for ongoing work. - Locations: SE, SW, Central, W, E, NW & NE - Freelance basis within our Expert partner network - Excellent hourly & daily rates - Opportunity to grow your client base on an ongoing basis - Work is varied and across all parts of London - Own transport or ability to travel to various locations is essential - Work often takes place in residential settings - Existing DBS certificate or a DBS check will be required - Insurance is a bonus - Upon application, you will complete an online form exploring additional services and trades in which you are experienced - You will then be contacted by a member of the team Qualifications - Experience in teaching Yoga and/or Pilates - Relevant certifications Requirements - DBS certificate or willingness to undergo a DBS check - Insurance (preferred) - Ability to travel across London Benefits - Excellent hourly & daily rates - Opportunity to grow your client base

• Design, build, and scale Banner Health’s next-generation data platform on the cloud • Lead the engineering of reliable, secure, and scalable data products and pipelines that power analytics, reporting, AI, and operational insights across clinical and business domains • Work closely with architects, analysts, data scientists, product teams, and business leaders to modernize how data is ingested, governed, transformed, and consumed across the organization • Design, build, and optimize scalable batch and streaming data pipelines for enterprise analytics and operational use cases • Contribute to the evolution of the enterprise data platform to support advanced analytics, self-service consumption, and AI/ML use cases • Lead the development of curated, high-quality data products across lakehouse, warehouse, and domain-oriented data architectures • Build and enhance cloud-native data solutions using modern platforms such as Databricks, Spark, Delta Lake, and AWS services • Establish and enforce engineering standards for code quality, testing, CI/CD, observability, lineage, and documentation • Drive best practices for data quality, schema evolution, performance tuning, reliability, and cost optimization • Partner with architecture, governance, security, and analytics teams to implement trusted and compliant data solutions • Support ingestion and transformation of complex healthcare and enterprise data sources, including structured, semi-structured, and high-volume event data • Mentor engineers, provide technical leadership, and contribute to solution design, estimation, and delivery planning • Translate business and operational requirements into scalable technical designs and production-ready data pipelines

• Define and execute the vision, roadmap, and operating model for Data Engineering in alignment with Banner’s broader data, analytics, and AI strategy • Lead and grow a high-performing organization of engineers • Build and scale governed, high-quality data products that support enterprise analytics, operational intelligence, machine learning, research, and AI-enabled use cases • Drive engineering standards for ingestion, transformation, testing, CI/CD, observability, documentation, lineage, reliability, performance, and cost optimization • Establish and evolve data modeling, semantic layer, and metrics-governance practices • Partner with Data Platform, AI/ML Platform, Architecture, Security, and Governance leaders to shape the enterprise data ecosystem and ensure scalable, compliant, and secure data access • Oversee the design and operation of both batch and streaming data pipelines • Translate business priorities into execution plans, measurable outcomes, team objectives, and delivery commitments • Drive platform and tooling decisions that improve developer productivity.