Experienced Data Engineer

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. We develop you with future-focused skills and equip you with world-class experiences through coaching and training programs as well as the use of advanced technology and AI.

Requirements

• A BSc or MSc degree in Computer Science, Mathematics, Engineering or other related, quantitative fields.
• At least 2 years of relevant professional experience.
• Knowledge of Data Management concepts & methodologies.
• Familiarity with at least one of the following: Data Warehouse, Data Lake, Lakehouse, Delta etc.
• Working experience in complex data querying (SQL, Spark).
• Experience in ETL/Pipelines design & development using industry tools (e.g. Azure Data Factory, Databricks, Airflow, dbt, Informatica Cloud Data Integration, etc).
• Experience with Cloud Data Platforms (Snowflake, Azure, AWS etc.) and streaming solutions (e.g. Kafka) will be considered a plus.

Benefits

• Ability to Shape your Future with Confidence by developing your professional growth,
• Dive into our innovative GenAI ecosystem, designed to enhance your EY journey and support your career growth.
• Empowering your personal fulfilment: We focus on your financial, social, mental and physical wellbeing.
• Our flexible working arrangement (hybrid model) is defined based on your own preferences and team’s needs,
• Our commitment to a sustainable way of operating, encourages volunteerism, promotes sustainable practices and offers opportunities for you to create a positive societal impact.