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Senior DBA & Data Modeller - (12 month Contract)
Job summary
Una consultora de selección busca un Administrador de Bases de Datos Senior en Barcelona para liderar iniciativas de transformación de datos. El candidato ideal debe tener experiencia en diseño de modelos de datos y administración de bases de datos, así como habilidades en ETL/ELT con herramientas como Databricks. Se ofrece un contrato de gestión interina y la modalidad de trabajo es híbrida.
Qualifications
- Experiencia en diseño y desarrollo de modelos de datos.
- Conocimientos en administración de bases de datos relacionales.
- Habilidades en optimización y calidad de datos.
Responsibilities
- Diseñar y desarrollar modelos de datos conceptuales y físicos.
- Administrar y optimizar bases de datos relacionales.
- Colaborar en el diseño de patrones de integración en la nube.
Skills
Tools
Engaged as a Senior Database Administrator & Data Modeller supporting enterprise data transformation initiatives. Responsible for designing scalable data models, administering operational databases, and enabling advanced analytical workloads across cloud platforms. Contributed to the delivery of robust data pipelines and modelling frameworks leveraging Databricks and cloud-native technologies, while ensuring system reliability, data quality, and strong governance.
- Designed and developed conceptual, logical, and physical data models to support core business applications and analytical workloads.
- Administered and optimised relational databases, ensuring reliability, performance, and compliance with regulatory requirements.
- Developed and optimised Databricks data models and ETL/ELT pipelines, leveraging Delta Lake architecture for scalable processing.
- Built reusable data assets within Databricks, including gold/silver/bronze layer tables, enabling reporting and ML consumption.
- Implemented data governance and quality frameworks across cloud platforms to ensure accurate, secure, and trusted data.
- Collaborated with Cloud Engineers, Data Engineers, and Architects to design cloud-based integration and storage patterns.
- Performed performance tuning at database, pipeline, and data model levels (indexing, partitioning, caching, compute scaling).
- Managed security and compliance standards, including IAM roles, encryption policies, auditing, and least-privilege access.
- Documented data lineage, data dictionaries, ERD models, and metadata to improve discoverability and cross-team collaboration.
- Supported business stakeholders in requirement analysis, data mapping, modelling, and solution design.
- Contributed to backup and DR planning to ensure business continuity across cloud environments.
- ETL / ELT: Databricks, Informatica, Talend, Airflow
- DevOps: Git, CI/CD frameworks
- Scripting: Python, Scala, SQL, Bash
- Delivered scalable Databricks data models and Delta Lake assets, improving end-to-end data processing speed and consistency.
- Reduced cloud compute costs by optimising Databricks cluster sizing, caching strategies, and query execution logic.
- Improved performance of mission-critical transactional systems through schema optimisations and advanced indexing.
- Defined modelling and documentation standards that strengthened data governance and platform usability across teams.
- Contributed to a more secure and resilient cloud data platform through structured IAM policies, auditability, and DR planning.
Tipo de contrato: Interim Management
Especialización: IT & Telecomunicaciones
Área: Data & Analytics
Sector: Telecomunicaciones
Banda salarial: Negotiable
Tipo de trabajo: Híbrido
Nivel de experiencia: Mando intermedio
Ubicación: Barcelona
CONTRACTOR
Referencia: OTC9Q7-A73D4BA4
Fecha de publicación: 10 de noviembre de 2025
Consultor/a: Ezequiel Moraglio
* 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.