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Senior Data Engineer & EY wavespace AI & Data hub
Job summary
A leading global consulting firm is seeking a skilled data professional to join their Data & AI Hub in Madrid. You'll work with state-of-the-art technologies, including Snowflake and Databricks, to develop and implement innovative data solutions. The ideal candidate will have 4-7 years of experience, a degree in Computer Science or a related field, and strong programming skills. This role offers growth opportunities and a collaborative environment.
Benefits
Qualifications
- 4-7 years of relevant experience required.
- Familiar with Data Governance, Unity catalog, and/or MS Purview.
- Industry experience in Consulting or financial services is desirable.
- Proficiency in English is necessary.
Responsibilities
- Utilize Snowflake to implement and optimize data solutions.
- Work with Databricks to manage data pipelines.
- Implement data integration processes for seamless flow.
- Contribute to data modernization initiatives.
- Develop batch processing workflows for data handling.
- Conduct data profiling and cleansing activities.
- Implement systems for real-time data processing.
Skills
Education
Location: Madrid
Other locations: Primary Location Only
Requisition ID: 1661668
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.
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.
- Utilize Snowflake to, 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.
- 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
- 4-7 years of relevant experience.
- Strong communication and teamwork, and excellent problem‑solving skills.
EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.