Senior Data Engineer - EY wavespace Data & AI hub 1

EY; Madrid; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A prominent firm seeks talent for its Data & AI Hub in Madrid, where you will engage with innovative technologies and advanced data engineering solutions. Responsibilities include utilizing Databricks and Snowflake to deliver data solutions, ensuring data is AI-ready, and conducting high-volume data management. The ideal candidate will possess a strong educational background and relevant industry experience, thriving in a collaborative environment.

Formación

• 3-5 years of relevant experience required.
• Proficiency in English is necessary.
• Industry experience in Consulting or financial services is valued.

Responsabilidades

• Utilize Snowflake to design and implement data solutions.
• Manage data pipelines in Databricks focusing on governance.
• Conduct data profiling to ensure quality and integrity.

Conocimientos

Python

SQL

Data Governance

ETL/ELT

Communication

Teamwork

Problem Solving

Educación

Bachelor’s or master’s degree in Computer Science, Information Technology, Data Science

Herramientas

Databricks

Snowflake

Azure

Descripción del empleo

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.