Senior Engineer, Data Engineering

Senior Data Engineer Location: Remote from Spain (an indefinite Spanish employment contract)Role is urgent , so candidates with quick notice will be prioritized. As a Data Engineer on a Digital Healthcare Team, you will be responsible for the development and implementation of data solutions serving consumer-centric and healthcare professional-focused digital tools aimed at enhancing medication adherence and achieving optimal health outcomes. This role requires strong cross-functional collaboration and technical expertise to ensure the successful delivery of initiatives while optimizing program performance and alignment with business objectives. The mission is to chase the miracles of science to improve people's lives. The client is a company that's on the rise. We are expanding in multiple directions, across borders and, most of all, in the way we think. We're building a team of brilliant individuals to drive the success of a new healthcare business to transform healthcare for all. People are the most critical ingredient to our success. The Digital Healthcare Team seeks a skilled and driven Data Engneer to drive and support the development and launch of innovative digital care and life management programs targeting diabetes and other chronic conditions. We are building a comprehensive digital health platform that empowers patients with chronic conditions and their informal caregivers to manage health journeys more effectively together. Our platform combines multiple modular services into a seamless ecosystem that bridges the gap between clinical care and daily life management. Requirements: ~ Proven experience as a Data Engineer with an understanding of data architecture principles, practices, and technologies. ~6+ years of overall development experience. ~4+ years of experience with AWS , DWH services & cloud storages ~ Experience with Databricks ~ Experience with at least one programming language (Python, Java, etc.)~ Experience building DWH and data lakes, designing ELT / ETL processes ~ Strong knowledge of Big Data, NoSQL, and RDBMS. ~ Understanding of data governance, data management, and data quality concepts. ~ Excellent analytical and problem-solving skills, with the ability to analyze complex data requirements and translate them into practical data architecture solutions. ~ Proficiency in data modeling tools. ~ Strong communication and collaboration skills to effectively interact with business stakeholders and technical teams. ~ At least B2 level of English. Will be a plus: Experience with DataOps, data mesh etc. Experience in developing data science, analytics, and AI/ML solutions with Databricks. Clinical HealthCare experience in the US market Responsibilities: Development of federated data management and federated learning systems to support the scalability of our digital health platform and to support patient ownership and control of healthcare data. Design and create conceptual, logical, and physical data models. Follow data standards, data governance policies, and data management processes to ensure data quality, consistency, and security throughout the organization. Implement data security and access controls to protect sensitive data and ensure compliance with data privacy regulations. Document data architecture artifacts, including data models, data flow diagrams, and system integrations. Collaborate with business stakeholders, data analysts, and technical teams to understand and analyze data requirements and translate them into data architecture solutions. Collaborate with product, engineering, clinical, and behavioral science teams to develop actionable insights and intelligent features within patient- and caregiver-facing digital tools. Stay up to date with emerging data technologies and trends and evaluate their potential impact on the organization's data architecture.