• Build and maintain robust data pipelines processing large volumes of data • Analysis of large data sets using tools such as Python & SQL • Update and optimize our data platform for speed, scalability and cost • Coordinate with different functional teams to understand and meet their data needs • Develop processes and tools to monitor and analyze model performance and data accuracy • Solve general data-related problems • Setting up new pipelines for the full stream/enrichment/curation process • Upkeep of source code locations • Investigating and utilising ML & AI to improve the cloud offering • Development of junior staff members

• Leitung komplexer Data & AI-Projekte im SAP-Umfeld • Umsetzung von der Anforderungsanalyse bis zum Go-Live • Steuerung der Projekte über den gesamten Lebenszyklus • Qualität und Wirtschaftlichkeit der Delivery sicherstellen • Leiten und Entwickeln von Projektteams • Schulungen und Wissenstransfer bei internen und externen Events

• Diseñar arquitecturas de datos modernas, escalables y orientadas a negocio • Liderar la preventa técnica y la defensa de soluciones ante clientes • Traducir tecnología en valor (storytelling + ROI) • Ejecutar assessments, consultoría técnica y PoCs • Actuar como puente entre preventa y delivery • Explorar nuevas tendencias (GenAI, Data Stack moderno, etc.)

• Engage with stakeholders, both internal and external, to understand business requirements, provide strategic guidance, and ensure that data solutions meet their objectives • Support the design, development, and implementation of data architectures that meet the needs of our clients, ensuring alignment with security, performance, and scalability requirements • Utilise extensive experience with AWS tooling and other cloud providers to architect and deploy secure, cloud-native solutions for batch and real-time data processing • Provide technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security, and cloud computing • Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems • Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data • Ensure all data solutions comply with industry standards and government regulations, maintaining the highest levels of data security and integrity • Monitor technical deliverables against the designs, manage and report on design divergences • Support the sales and pre-sales teams by providing expert advice and input on proposals, ensuring technical feasibility and alignment with client needs • Advise and support on breaches of data standards and make recommendations about how they should be resolved • Stay up to date with the latest advancements in cloud technologies, data architecture, and security practices, and apply this knowledge to continuously improve our offerings.