Senior Data Engineer - EY wavespace Data & AI hub 1

Ernst & Young Advisory Services Sdn Bhd; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading company in the tech sector is seeking a data engineer to join their Madrid Data & AI Hub. The successful candidate will work with advanced data engineering processes, utilizing cutting-edge technologies such as Snowflake and Databricks. The role involves data solution design, optimization, and the integration of various platforms, contributing to data modernization initiatives while ensuring data quality and governance.

Formación

• 3-5 years of relevant experience required.
• Experience in a consulting or financial services industry valued.
• Familiar with Data Governance, Unity catalog and/or MS Purview.

Responsabilidades

• Utilize Snowflake to design and optimize data solutions.
• Develop and manage data pipelines in Databricks.
• Ensure seamless data flow and manage integration processes.

Conocimientos

Python

SQL

Data Governance

ETL/ELT

Problem Solving

Communication

Teamwork

Educación

Bachelor’s or master’s degree in Computer Science

Degree in Information Technology or Data Science

Herramientas

Snowflake

Databricks

Azure

Descripción del empleo

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Location: Madrid

Other locations: Primary Location Only

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.
• 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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