Python jobs in Spain
Data Integration Engineer — Industrial Data Pipelines
Qaracter - Beyond your Challenge
Django Python Developer — Hybrid Valencia
Adding Technology S.A.
Consultor / a SENIOR de Celonis
Avalora Tecnologías de la Información
Project Developer Power BI
MIGSO-PCUBED
Back-End / FullStack, hibrido
CAS TRAINING
Discover more opportunities than anywhere else. Find more jobs nowEspecialista de Soporte de Aplicaciones y Automatización
SETESCA
Técnico Implantador Software Opcenter Siemens
Geprom Connecting Industries | Part of Telefónica Tech
Software Engineer (Microsoft Dynamics 365)
Wizeline
Connect with headhunters to apply for similar jobsML Engineer: LLMs & AI Innovator (Hybrid, Relocation)
DeepRec.ai
Senior Design Verification Engineer
TechTeamz
Machine Learning Engineer
DeepRec.ai
Lead Quality Assurance Engineer
Nuitée
Líder Técnico de IA & Software
Nunsys
ML Engineer (MLOps - Remote)
Codesearch AI
Remote AI Engineer — Production-Driven LLM Agents
AddanEx
Consultor Senior Celonis: Líder de Proyectos y Datos
Avalora Tecnologías de la Información
Consultor / a SENIOR de Celonis
Avalora Tecnologías de la Información
Lead Quality Assurance Engineer
Nuitée
Remote Backend Engineer - AWS, Kubernetes & Microservices
VoltAI Innovations
Ingeniero / a Devops | Teletrabajo
Cobser Consulting
Senior Data Scientist - Genomics & Cloud ML
Xebia
Data Integration Engineer — Industrial Data Pipelines
Job summary
A global consulting firm is looking for a Data Integration Engineer to work on digital transformation projects in the utilities sector. The ideal candidate has over 3 years in data integration, strong Python and SQL skills, and familiarity with various ETL tools. Responsibilities include building and maintaining data pipelines, automating workflows, and troubleshooting data issues within industrial environments. Proficiency in Spanish and English is required for effective collaboration.
Benefits
Qualifications
- 3+ years of experience in data integration, engineering, or ETL processes.
- Strong Python skills and solid SQL knowledge.
- Experience with cloud data services (Azure, AWS, or GCP).
- Familiarity with industrial communication protocols.
Responsibilities
- Design, build, and maintain robust end-to-end data pipelines.
- Automate workflows and ensure data quality.
- Integrate with relational databases and modern data platforms.
- Troubleshoot typical industrial data quality issues.
Skills
Tools
* 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.