¡Activa las notificaciones laborales por email!

Chief Data Solutions Architect

beBeeDataEngineer

Santiago de Compostela

Presencial

EUR 50.000 - 70.000

Jornada completa

Hace 11 días

Descripción de la vacante

A leading data solutions company in Santiago de Compostela is seeking an experienced Data Engineer. The role involves establishing scalable data architectures, collaborating on data solutions, and leading technology adoption such as Microsoft Fabric. Candidates should have at least seven years in a similar role and strong skills in Azure Data Factory and SQL. Attractive pay and growth opportunities are offered.

Servicios

Attractive pay structure
Health Insurance
Life Insurance
Growth opportunities

Formación

  • Minimum of seven years of experience as a Data Engineer or similar role.
  • Expertise in Azure Data Factory for orchestrating data workflows.
  • Hands-on experience with Microsoft Fabric for modern data warehousing.
  • Proficiency in ETL / ELT development and performance optimization.
  • Strong background in designing scalable data pipelines.

Responsabilidades

  • Establish and maintain scalable data architectures for real-time and batch processing.
  • Collaborate with stakeholders for end-to-end data solutions.
  • Optimize existing processes and expand data pipelines.
  • Lead the adoption of emerging technologies.
  • Prepare and maintain documentation for data architectures.

Conocimientos

Cloud-based solutions
Azure Data Factory
Microsoft Fabric
Data modeling
ETL / ELT development
SQL
Python
API-driven data integration
NoSQL databases
Streaming data solutions

Descripción del empleo

Establish and maintain scalable data architectures for real-time and batch processing.

Collaborate with stakeholders to ensure efficient end-to-end data solutions.

Optimize existing processes and expand data pipelines to ensure scalability and future growth.

Lead the adoption of emerging technologies, especially Microsoft Fabric, to enhance data management and analytics.

Prepare and maintain comprehensive documentation for data architectures and processes.

Independently manage and deliver projects with minimal oversight.

Requirements:
  • A minimum of seven years of experience as a Data Engineer or in a similar role, with a strong focus on cloud-based solutions.
  • Extensive expertise in Azure Data Factory (ADF) for orchestrating data workflows and integrating data from platforms like MySQL, Oracle, and SQL Server.
  • Hands-on experience with Microsoft Fabric for modern data warehousing and processing environments.
  • Proficiency in data modeling, ETL / ELT development, and performance optimization in cloud-based architectures.
  • Strong background in Lambda and Medallion data architectures, designing scalable data pipelines for both real-time and batch processing.
  • Advanced SQL skills, including performance tuning, index optimization, and schema design.
  • Solid experience in Python for data engineering, automation, and integration tasks.
  • Knowledge of API-driven data integration and experience managing semi-structured and unstructured data using Azure Data Lake, Azure Blob Storage, and Azure Cosmos DB.
  • Familiarity with NoSQL databases and hands-on experience with streaming data solutions like Azure Event Hubs or Azure Stream Analytics.
  • Proven ability to work independently, manage multiple priorities, and deliver high-quality, scalable solutions.
  • Strong problem-solving skills to identify and resolve challenges in complex data environments.
  • Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
What We Offer:
  • Be part of a world-class organization that drives performance benefits.
  • Attractive pay structure.
  • Health Insurance coverage for you and your dependents.
  • Life Insurance.
  • Growth opportunities, including career progression, tuition assistance, language courses, training, and certifications.

J-18808-Ljbffr

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra un archivo en formato PDF, DOC, DOCX, ODT o PAGES de hasta 5 MB.