Azure Databricks Data Engineer

Avenga; Mos; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Avenga busca un Data Engineering Practitioner para unirse a proyectos en el sector salud, con foco en bases de datos, Talend y soluciones de datos a gran escala.

Deberá liderar el diseño, implementación y gobernanza de plataformas de datos, supervisando a la equipo y asegurando escalabilidad, resiliencia y seguridad de infraestructuras críticas.

Formación

• Experiencia liderando soluciones de data engineering en entornos complejos.
• Conocimiento profundo de ETL/ELT, arquitecturas de datos y gobernanza.
• Experiencia con plataformas en la nube (AWS) y herramientas de big data.

Responsabilidades

• Liderar el diseño y la construcción de arquitecturas de datos a gran escala.
• Guiar a ingenieros junior y establecer estándares técnicos.
• Resolver problemas de rendimiento y garantizar la seguridad de infraestructuras críticas de datos.

Conocimientos

Data engineering

ETL/ELT

Big Data

AWS

Talend

Arquitectura de datos

Liderazgo

Mentoría

Herramientas

Talend

AWS

Descripción del empleo

Descripción del trabajo

This is usAt Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and UI design, managed services, product development, and software development. This is the jobWe are actively seeking a Data Engineering Practitioner to join project in healthcare industry, focusing on Data Engineering, Database, and Talend-related tasks. In this role, you will lead the design and implementation of complex data engineering solutions, setting technical standards and mentoring junior team members. This position requires deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns, enabling you to architect scalable data warehouses and data lakes, troubleshoot intricate performance issues, and ensure the resilience and security of critical data infrastructure. You will drive technical excellence, contribute significantly to data governance, and influence the team's architectural decisions. This is youExtensive experience leading the design, implementation, and construction of complex data engineering solutions and large-scale data architectures. Proven track record of leading high-impact projects that shape enterprise-level data infrastructure and developing long-term data architecture strategies. Demonstrated experience contributing significantly to data governance and ensuring the resilience and security of critical data infrastructure. Expert proficiency in multiple programming languages and Big Data technologies. Knowledge of Talend. Deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns. Proven capability to architect scalable data warehouses and data lakes, and to troubleshoot intricate system performance issues. Strong AWS expertise. Strong Database expertise. Scrum Master expertise would be beneficial. This is your roleLead the design and construction of large-scale data architectures, overseeing and mentoring junior engineers while driving technical excellence and setting standards across the team. Solve highly complex data engineering problems and troubleshoot intricate performance issues, ensuring critical data infrastructure remains highly scalable, secure, resilient, and efficient. Liaise with senior leadership to align on data strategy and organizational needs, guiding and directing technical teams and influencing architectural decisions. Lead high-impact projects that significantly shape the organization's data infrastructure, developing long-term data architecture strategies and contributing to data governance initiatives. Manage enterprise-level data systems and infrastructure, designing and implementing advanced data processing frameworks, scalable data warehouses, and data lakes. Act as an expert in multiple programming languages and Big Data technologies, demonstrating deep understanding of distributed systems, cloud data platforms, advanced ETL/ELT patterns, and data architecture best practices.