Volver a los resultados · Málaga

Oferta verificada hace 12 horas

Big Data Developer

Talan·Málaga
Salario no indicado
Resumen Vox
  • Rol principal: Desarrollar, mantener y optimizar soluciones de procesamiento de datos, construyendo pipelines robustos y asegurando la calidad y integración de datos en un entorno ágil.
  • Requisitos clave: Experiencia de 3+ años en ingeniería de datos o desarrollo de software, conocimientos sólidos en SQL, experiencia con Spark y programación en Scala, Python o Java.
  • Condiciones y beneficios: Posición híbrida en Málaga o remoto en España, contrato permanente a tiempo completo, oportunidades de desarrollo y trabajo en entornos internacionales y multiculturales.
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Descripción de la oferta

Company Description Join Us Why Talan For the 4th consecutive year Talan Spain has been recognized as a Great Place to Work This year were also celebrating our 2nd certification in Poland a significant milestone since opening our office there. Talan is an international advisory group specializing in innovation and transformation through technology with 5000 employees and an annual turnover of 600M. We offer our customers a continuum of services to support them at each key stage of their organizations transformation with four main activities - CONSULTING in Management and Innovation Supporting business managerial cultural and technological transformations. - DATA TECHNOLOGY Implementing major transformation projects. - CLOUD APPLICATION SERVICES Building or integrating software solutions. - SERVICE CENTERS of EXCELLENCE Providing technology innovation agility sustainability of skills and cost optimization. Talan accelerates its clients transformation through innovation and technology. By understanding their challenges and supporting them with technology innovation and data we enable them to be more efficient and resilient. Job Description We are looking for a Big Data Developer responsible for the development maintenance and optimization of data processing solutions within the Client Contribution platform. The role focuses on building robust data pipelines ensuring data quality and supporting data integration initiatives in a collaborative Agile environment. Key Responsibilities - Design develop and maintain ETL and data transformation processes - Implement and support Spark-based data pipelines - Contribute to data integration initiatives across the platform - Analyze and troubleshoot data-related issues - Experience in Reporting with Qlik sense. - Ensure data quality reliability and performance across systems - Work closely with functional and technical stakeholders to gather and analyze requirements - Collaborate in Agile teams and contribute to continuous improvement of data solutions - Participate in DevOps practices and CI/CD processes - Explore and leverage AI-assisted tools to improve data engineering and automation processes (nice to have) Qualifications Mandatory Skills Requirements - 3+ years of experience in data engineering or software development - Strong SQL knowledge (ANSI SQL Hive SQL Spark SQL) - Hands-on experience with Spark - Programming experience in at least one of the following Scala Python or Java - Experience with Big Data environments such as Azure Databricks Amazon EMR Hive or Cloudera - Familiarity with DevOps and CI/CD practices (Git GitHub Sonar Nexus) - Ability to work effectively in Agile teams - Strong analytical skills and ability to collaborate with cross-functional teams - English proficiency level B2 or higher Additional Information - Hybrid position based in Málaga Spain or remote within Spain. - Permanent full-time contract with career development opportunities. - Chance to work in a challenging multicultural environment with international projects. - Exposure to large-scale financial IT systems and cross-country operations. - Training opportunities to develop new skills in finance technology and data management. If you are passionate about development tech we want to meet you

Panel de transparencia

Fuente original
tecnoempleo
Publicada
14 jul 2026 · fecha real
Última verificación
hace 12 horas
Puntuación de calidad
35/100
Salario indicado0
Empresa identificada0
applyUrl0
postedAt15
Descripción completa20

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