T-Systems is a global leader in information technology and digital transformation services, operating as the enterprise IT subsidiary of Deutsche Telekom. The company provides a wide range of integrated solutions, including cloud services, cybersecurity, digital connectivity, and industry-specific software, particularly for the healthcare, public sector, and manufacturing industries. With a global workforce of approximately 27,000 employees, it serves multinational corporations and public institutions worldwide.

In Spain, T-Systems Iberia is one of the country's largest IT employers, maintaining a significant presence in major technology hubs like Barcelona, Madrid, and Granada. The company is known for its multicultural environment and its role as a strategic partner for both the Spanish public administration and the private sector. For international professionals, T-Systems offers a stable environment with opportunities to work on large-scale digital transformation projects, often utilizing English as a primary language for international accounts and cloud-native technologies.

T-Systems was founded in 2000 as the IT services arm of Deutsche Telekom following the acquisition of debis Systemhaus. It has evolved from a traditional infrastructure provider into a global leader in digital services and multi-cloud management.

For international professionals

Operates major delivery centers across Spain, including a significant innovation hub in Granada and large offices in Barcelona and Madrid.
Offers flexible work models and 'Work from Anywhere' policies for many technical and consultancy roles within the Spanish territory.
Provides extensive internal training and certification paths for high-demand technologies including SAP, AWS, Azure, and Google Cloud.
Frequently recruits for international projects where English is the primary working language, facilitating the integration of non-Spanish speakers.
Strongly involved in the digitalization of the Spanish healthcare system and public administration, offering high-impact career opportunities.

Senior Data Engineer Databricks (m/f/d)

T-Systems Iberia

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

Company Description

T-Systems is part of the Deutsche Telekom group, with approximately 30,000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers' experience.

We trust people: we offer autonomy, continuous support, and a collaborative environment to grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.

Job Description

Responsibilities:

Definition, design, and evolution of the data platform's ETL/ELT processes, ensuring alignment with business requirements.
Design and implement data ingestion, transformation, and persistence processes in Data Lake, Data Warehouse, or Lakehouse environments.
Establish and ensure data quality assurance, defining controls, validations, business rules, and traceability mechanisms.
Define technical standards, best practices, and development patterns for data pipelines.
Ability to act as the technical lead for the Data Engineering team, providing expert support, code review, and mentoring.
Direct communication with the client in a technical expert role, participating in design decision-making and the definition of the data strategy.
Coordinate with architects, analysts, BI teams, and data science teams to ensure the consistency of the data ecosystem.
Optimize the performance, scalability, and reliability of data processes in production environments.
Document the architecture, data flows, and critical processes of the platform.

Requirements

Essential:

More than 6 years of experience in Data Engineering and data integration projects.
Extensive experience in the definition and implementation of complex ETL/ELT processes.
Advanced proficiency in Databricks, as well as Python, SQL, and distributed processing with Spark / PySpark.
Experience in designing modern data architectures (Data Lake, Data Warehouse, Lakehouse).
Solid knowledge of data quality assurance (validations, controls, reconciliations, data lineage).
Experience working in cloud environments (Azure, AWS, or GCP).
Knowledge and use of CI/CD and version control with Git applied to data pipelines.
Ability to technically lead teams.
Communication skills and ability to interact with technical and business profiles.
Experience working with agile methodologies.

Desirable:

Databricks Data Engineering Certification
Experience with orchestration tools
Knowledge of DataOps and advanced pipeline automation.
Cloud or data engineering certifications (Azure / AWS / GCP Data Engineer).

Additional Information

What do we offer you?

Environment and flexibility

International, dynamic, and collaborative environment
T-Social: social initiatives (sports, community, health, ...)
Hybrid work model (remote/on-site)
Flexible schedule
4 weeks of remote work per year

Professional development

Tailored training: access to Coursera so you can learn what you want, when you want
Weekly language classes (English, Spanish, and German)
Global Mentoring sessions and Experience Days

Compensation and benefits

Flexible compensation plan (health insurance, restaurant vouchers, childcare, transport)
Telemedicine
Life and accident insurance
Social fund

Well-being and free time

More than 26 working days of vacation per year
Free access to specialists (health, well-being, and legal advice)
100% of salary in case of medical leave

And many more advantages of being part of T-Systems!

If you are looking for a new challenge, feel free to send us your CV. Join our team!

T-Systems Iberia will only process CVs of candidates who meet the requirements specified for each offer.

View original advert (Spanish)

Descripción de la empresa

T-Systems es parte del grupo Deutsche Telekom, con unos 30.000 empleados en todo el mundo. Creamos tecnología con propósito para generar un impacto positivo en la sociedad. Buscamos talento curioso, con ganas de aprender, asumir retos y aportar ideas que transformen la experiencia de nuestros clientes.

Confiamos en las personas: ofrecemos autonomía, apoyo continuo y un entorno colaborativo donde crecer sin límites. Somos un solo equipo global, guiados por el respeto, la integridad y la pasión por hacerlo mejor cada día.

Descripción del empleo

Responsabilidades:

Definición, diseño y evolución de los procesos ETL/ELT de la plataforma de datos, garantizando su alineación con los requisitos de negocio.
Diseñar e implementar procesos de ingesta, transformación y persistencia de datos en entornos Data Lake, Data Warehouse o Lakehouse.
Establecer y velar por el aseguramiento de la calidad del dato, definiendo controles, validaciones, reglas de negocio y mecanismos de trazabilidad.
Definir estándares técnicos, buenas prácticas y patrones de desarrollo para los pipelines de datos.
Capacidad para actuar como referente técnico del equipo de Data Engineering, proporcionando soporte experto, revisión de código y mentoring.
Interlocución directa con el cliente en rol de experto técnico, participando en la toma de decisiones de diseño y en la definición de la estrategia de datos.
Coordinarse con arquitectos, analistas, equipos de BI y de ciencia de datos para asegurar la coherencia del ecosistema de datos.
Optimizar el rendimiento, escalabilidad y fiabilidad de los procesos de datos en entornos productivos.
Documentar la arquitectura, los flujos de datos y los procesos críticos de la plataforma.

Requisitos

Imprescindibles:

Más de 6 años de experiencia en proyectos de Data Engineering e integración de datos.
Amplia experiencia en definición e implementación de procesos ETL/ELT complejos.
Dominio avanzado Databricks, asi como de Python, SQL y procesamiento distribuido con Spark / PySpark.
Experiencia en diseño de arquitecturas de datos modernas (Data Lake, Data Warehouse, Lakehouse).
Conocimiento sólido de aseguramiento de calidad del dato (validaciones, controles, reconciliaciones, data lineage).
Experiencia trabajando en entornos cloud (Azure, AWS o GCP).
Conocimiento y uso de CI/CD y control de versiones con Git aplicados a pipelines de datos.
Capacidad para liderar técnicamente a equipos.
Habilidades de comunicación y capacidad de interlocución con perfiles técnicos y de negocio.
Experiencia trabajando con metodologías ágiles.

Valorables:

Certificación Data Engineering de Databricks
Experiencia con herramientas de orquestación
Conocimientos de DataOps y automatización avanzada de pipelines.
Certificaciones cloud o de ingeniería de datos (Azure / AWS / GCP Data Engineer).

Información adicional

¿Qué es lo que le ofrecemos?

Entorno y flexibilidad

Ambiente internacional, dinámico y colaborativo
T-Social: iniciativas de carácter social (deportivas, comunitarias, de salud, ...)
Modelo de trabajo híbrido (teletrabajo/presencial)
Horario flexible
4 semanas de teletrabajo al año

Desarrollo profesional

Formación a tu medida: acceso a Coursera para que aprendas lo que quieras, cuando quieras
Clases semanales de idiomas (inglés, español y alemán)
Sesiones de Mentoría a nivel global y Experience Days

Compensación y beneficios