Data Engineer

About the role

EY Malta supports leading organisations, including financial services clients, in delivering large-scale data transformation programmes. As a Data Engineer you will design, build and optimise robust and scalable data pipelines and modern cloud-based data platforms that provide trusted, high-quality data for reporting, analytics and operational decision-making. You will work in a multidisciplinary team spanning data engineering, architecture, data governance and business domains on complex, high-impact engagements in 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

Required profile

• 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
• 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

Required skills

• Strong proficiency in SQL and relational databases
• ETL tools and data pipeline development
• Python or another scripting language
• Data modelling and data warehousing concepts
• Cloud platforms such as Microsoft Fabric and Azure Databricks

Certifications are optional: Microsoft Data Engineering / Fabric, Databricks or Snowflake.