Senior Data Engineer - EY wavespace Data & AI hub

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.

Tasks & Responsibilities:

• Lead the design and execution of Intelligence transformation projects, ensuring alignment with business goals and objectives.
• Drive transformation processes towards a data-centric culture, promoting best practices and innovative solutions.
• Collaborate with cross-functional teams, including risk management, business optimization, and customer intelligence, to deliver impactful data solutions.
• Architect, design, and implement robust technical solutions across various business domains, ensuring scalability and performance.
• Mentor and coach junior data engineers, fostering a culture of continuous learning and development within the team.
• Apply your extensive knowledge and experience to deliver key projects, providing strategic insights and technical guidance.

Key Requirements:

• Bachelor’s or Master’s degree in Computer Engineering (or related fields), Physics, Statistics, Applied Mathematics, Computer Science, Data Science, Applied Sciences, etc.
• Fluent in English; proficiency in Spanish or other languages is an asset.
• Expertise in one or more object-oriented languages, including Python, Scala, or C++
• Deep understanding of data-modeling principles and best practices.
• Extensive experience with relational databases and excellent SQL fluency.
• Proven experience working with big data technologies (Hadoop, Spark, Hive).
• Experience working with MS Fabric, Databricks, and/or Snowflakes.

Preferred:

• Hands-on experience with ETL products
• Strong background in developing microservices-based architectures and the technologies that enable them (containers, REST APIs, messaging queues, etc.).
• Experience with team collaboration tools such as Git, Bitbucket, Jira, Confluence, etc.
• Solid experience with unit testing and continuous integration practices.
• Familiarity with Scrum/Agile development methodologies and the ability to lead agile teams.
• Strong critical thinking capabilities, with the ability to see the ‘big picture’ while also diving into the details when necessary.