EMPLEO | Senior Data Engineer – EY wavespace AI & Data

EY wavespace – AI & Data CoE is offering a position as Senior Data Engineer at Madrid.

Join our Data & AI CoE, where you will have the chance to work in a vibrant and collaborative environment. You will engage directly with advanced data engineering, where you’ll leverage cutting-edge technologies to drive innovative data solutions and transform business insights. Our team supports your growth and development, providing access to the latest tools and resources.

Key Responsibilities:

• Design and implement scalable data pipelines using Databricks (PySpark, Delta Lake), Snowflake and/or Microsoft Fabric.
• Build robust ELT/ETL workflows that support batch and streaming data ingestion.
• Implement best practices for data quality, observability, lineage and metadata management.
• Implement and manage data integration processes, ensuring seamless data flow between various systems and platforms.
• Contribute to data modernization initiatives by ensuring that data is AI-ready.
• Conduct data profiling and cleansing activities to ensure high data quality and integrity across all data systems.
• Implement and manage stream systems to enable real-time data processing and analytics.

Qualifications:

• Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or any relevant field.
• Proven hands-on experience working with Databricks, Snowflake, Azure in professional setting.
• Experience delivering projects in MS/Databricks environment.
• Familiar with Data Governance, Unity catalog and/or MS Purview.
• Solid programming skills in Python and SQL
• Industry experience in Consulting or financial services is valued.
• Proficiency in English
• Deep understanding of distributed data processing, cloud data architectures and data warehouse principles.
• 3-5 years of relevant experience. 
• Strong communication and teamwork, and excellent problem-solving skills. 

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