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DATA ENGINEER

Madrid - Madrid

Descripción de la oferta de empleo

Do you want to develop your career in a key area for the coming years? If so, keep reading.
We are looking for someone to join our Data & AI team.
We aim to expand our expertise in any of the major hyperscalers and need someone who enjoys developing data projects.
What will be your responsibilities? You will participate in data and artificial intelligence projects.
Some of your key tasks will include.
Developing Data Solutions.
Collaborate with internal teams and stakeholders to understand business requirements and develop effective, optimized, and scalable data solutions.
Implementing Data Pipelines.
Build robust data pipelines using Azure Data Factory, Databricks, Azure Fabric, or similar technologies, as well as advanced SQL and Python, with a focus on PySpark.
Creating Data Models.
Design and develop optimized data models to support advanced analytics and BI applications, ensuring data integrity and quality.
Optimizing Performance.
Identify and address performance bottlenecks in pipelines and databases, implementing optimization techniques to enhance efficiency and scalability.
Automating Processes.
Develop scripts and automation tools for deployment, monitoring, and continuous maintenance of data pipelines and processes, improving operational efficiency.
Collaborating with Cross-Functional Teams.
Work closely with development teams, data analysts, data scientists, and other stakeholders to understand their data needs and provide effective, business-driven solutions.
Providing Technical Support.
Offer technical guidance and support to team members in designing, developing, and maintaining cloud-based data solutions.
Proactive Learning.
Stay up to date with the latest trends and technologies in data engineering and cloud computing, participating in training and certification programs as needed.
Contributing to a Data-Driven Culture.
Promote a data-driven culture within the company, encouraging best practices in data management and usage for informed decision-making.
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Detalles de la oferta

Empresa
  • Sin especificar
Localidad
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 04/07/2025
Fecha de expiración
  • 04/01/2026
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