Data Engineers

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY Malta supports leading organisations, including financial services clients, in delivering large-scale data transformation programmes. As a Data Engineer, you will play a key role in designing, building and optimizing robust and scalable data pipelines and modern cloud-based data platforms. These platforms will enable trusted, high-quality data across the organization, for reporting, analytics and operational decision-making. You will work as part of a multidisciplinary team spanning data engineering, architecture, data governance and business domains to contribute to complex, high-impact engagements across regulated and data-intensive environments. Key Responsibilities Design, build and maintain scalable data pipelines Ensure data quality, governance and auditability Work with stakeholders to deliver data-driven solutions Optimise data flows and ETL processes Support cloud-based data platform development Skills And Attributes Bachelor’s and/or master’s degree in computer science, engineering, mathematics, or another relevant subject 3+ years of experience in data engineering, data platforms or ETL development Strong proficiency in SQL and relational databases Experience with ETL tools and data pipeline development Experience with Python or another scripting language Knowledge of data modelling and data warehousing concepts Experience with cloud platforms such as Microsoft Fabric and Azure Databricks Familiarity with data governance, data quality and lineage concepts Ability to work with structured and unstructured data across modern and legacy platforms