Senior Data Engineer

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. Project Overview : 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.