Descripción de la oferta
Location: Madrid
Other locations: Primary Location Only
Date: 10 Feb 2026
Requisition ID: 1678322
About Us
At EY wavespace Madrid - AI & Data CoE, 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 AI & Data CoE, where you will have the chance to work in a vibrant and collaborative environment. You will engage directly with building AI‑ready data solutions, 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
Lead and mentor a high‑performing data engineering team, fostering a culture of collaboration, innovation, and continuous improvement
Engage with internal and external clients to assess their needs, develop tailored solutions, and present strategic proposals that align with their business objectives
Oversee the design and implementation of scalable data pipelines using Databricks (PySpark, Delta Lake), Snowflake, and/or Microsoft Fabric
Identify and enforce best practices for data quality, observability, lineage, and metadata management
Drive data modernization initiatives, ensuring that data architectures are AI‑ready and capable of supporting advanced analytics
Supervise data profiling and cleansing activities to maintain high data quality and integrity across all data systems
Lead the implementation process of streaming systems to enable real‑time data processing and analytics
Qualifications
Bachelor's or master's degree in Computer Science, Information Technology, Data Science, or a relevant field
5 – 7 years of relevant experience
Proven track record in managerial role within data engineering, preferably in consulting or financial services
Strong hands‑on expertise in Databricks, Snowflake, and Azure, with a focus on delivering projects in MS/Databricks environments
Expertise in data processing, cloud data architecture, and data warehouse principles
Experience in data governance, Unity Catalog, and/or MS Purview, with the ability to guide teams in implementing best practices
Excellent programming skills in Python and SQL
Strong communication and interpersonal skills, with a demonstrated ability to engage clients, solve complex problems, and drive team success
Proficiency in English and Spanish, both written and spoken
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