Data Engineer at EY Malta - EU Tech Role

Data Engineer at EY Malta - EU Tech Role — Remote This Data Engineer role at EY Malta is an on‑site position based in Msida, Malta — a small island nation in the Mediterranean. While EY mentions a “flexible environment,” this posting is tied to a specific Malta office and involves regulated financial services clients, which typically require in‑person presence for compliance and security reasons. This is not a remote‑first or async‑friendly role . Malta itself has some appeal for internationally mobile professionals: EU/EEA citizens can work freely in Malta without a visa, while non‑EU candidates would need a standard work permit sponsored by EY. Malta does not currently offer a dedicated digital nomad visa; it does offer a Nomad Residence Permit for remote workers employed by non‑Maltese companies — which would not apply here since EY Malta is the employer. Malta’s cost of living is moderate by EU standards: a single professional can expect ~€1,500–2,000/month in living costs (rent, food, transport), which is lower than cities like Amsterdam or Dublin. If you're seeking a location‑independent lifestyle, this role is not well‑suited for full nomadic travel. However, Malta’s central Mediterranean location, English‑speaking environment, and EU membership make it a practical base for professionals who want European stability with warm weather and manageable living costs. 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 Strong problem‑solving and communication skills Certifications (Optional) Microsoft certifications on Data Engineering / Fabric Databricks certification Snowflake certification What We Offer At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We empower you in a flexible environment and fuel your extraordinary talents in a diverse and inclusive culture of globally connected teams. If you’re ready to shape your future with confidence, apply today. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions, in more than 150 countries and territories. #J-18808-Ljbffr Cortes 23