Usamos cookies técnicas y el registro de visitas anonimizado de Zorky. Yandex Metrica (los datos se guardan en servidores en Rusia) solo se activa con tu consentimiento. Nunca vendemos datos. Más sobre cookies y estadísticas.
Zorky está en modo de prueba: todo es gratis. Los empleos y las páginas de empresas están abiertos a todos; los enlaces a las ofertas y tu selección personal se abren tras registrarte. Regístrate →
← Todos los empleos

Senior Data Engineer

SeniorremoteWarsaw, PL →hace 4 sem.
Análisis del mercado
📊 Data Engineering: salarios y demanda en el mercado
Stack
ERPSecuritySQLUse CasesArtificial Intelligence (AI)release managementCI/CDTestingGitMicrosoft Platformci/cddatabricks
Detalles
Experiencia
5+ años
Prácticas
CI/CD
Mostrar empresa y enlace
Gratis, tras iniciar sesión.
Postular
Sube tu CV: empleadores y reclutadores de distintos países que buscan tu perfil podrán contactarte directamente.
Enviar tu CV →
Descripción

We are looking for a Senior Data Engineer to join our Sustainability Data & AI team and help build and operate a modern Sustainability Data Foundation based on Databricks . You will develop scalable data products and pipelines supporting sustainability reporting, regulatory compliance and analytics , taking ownership from design through production. Workload: Full-time Work model: Remote Business Travels: YES (business trips to Denmark from time to time) Duration: 12 months + option for extension Start Date: 01/27 Your responsibilities: Design and develop data pipelines and data products using Databricks, Delta Lake and PySpark .

Build data models and transformation frameworks for large and complex datasets. Develop data quality controls, validation and reconciliation processes . Optimize pipelines for performance, scalability and cost.

Implement CI/CD, automated testing and deployment processes . Support data governance, lineage, security and access management. Work closely with Sustainability, Business, Product and Reporting teams.

Troubleshoot issues, perform root-cause analysis and ensure reliable production delivery. Develop Databricks-based tools to simplify data access and reporting.

Requirements

5+ years of experience in data engineering and data platforms. Strong production experience with Databricks . Expert knowledge of PySpark, SQL, data modelling and data pipeline design . Experience with CI/CD, Git, automated testing and deployment . Knowledge of data quality, g

Descripción completa, empresa y enlace para postular: después de iniciar sesión. Iniciar sesión
Los contactos del empleador (correo/teléfono/telegram) están ocultos en la vista previa pública. Envía tu CV para que los empleadores puedan contactarte directamente.
Denunciar esta oferta
¿Pregunta urgente? Escribe a @termdocs