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Senior Data Engineer - EY wavespace Data & AI hub 1

Location:  Madrid
Other locations:  Primary Location Only
Salary: Competitive
Date:  12 Jun 2025

Job description

Requisition ID:  1616631

About Us

At EY wavespace Madrid - Data & AI Hub, we are a diverse, multicultural team at the forefront of technological innovation, working with cutting-edge technologies like Gen AI, data analytics, robotics, etc.  Our center is dedicated to exploring the future of AI and Data. 

 

What We Offer

Join our Data & AI Hub, 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:

  • Utilize Snowflake to design, implement, and optimize data solutions,
  • Work with Databricks to develop and manage data pipelines and analytics solutions, with a focus on MS/Databricks environment-related projects and data governance practices.
  • 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.
  • Develop and maintain batch processing workflows to handle large volumes of data efficiently.
  • 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.
  • 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.
  • Excellent programming skills: experience in languages such as Python, SQL
  • Industry experience in Consulting or financial services is valued.
  • Proficiency in English
  • ETL/ELT
  • 3-5 years of relevant experience. 
  • Strong communication and teamwork, and excellent problem-solving skills.

 

 

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