Senior Data Engineer (Azure + Databricks), hibrido
Empresa
GlobalSysInfo
Provincia
Barcelona
Ciudad
Barcelona
Tipo de Contrato
Tiempo Completo
Salario
Entre 30000 Euros y 45000 Euros Bruto/año
Descripción
Senior Data Engineer (Azure + Databricks)
Senior Data Engineer (Azure + Databricks) Hybrid (Barcelona)
Company: GlobalSysInfo Services SL
Location: Barcelona (Hybrid 3 days onsite, 2 days remote)
Work Schedule: Full-time (Monday to Friday, 8 hours/day)
Language Requirement: English Expert level
Experience Required: Minimum 4 years
Role Overview
We are looking for a Senior Data Engineer with strong experience in Azure data services and Databricks to join a strategic data and analytics project. The role involves designing, building, and optimizing scalable data pipelines and supporting modern data platform initiatives.
Required Skills
Azure Data Lake Storage
Azure Data Factory
Databricks platform
Apache Spark (job and cluster optimization)
Databricks workflows and jobs
Delta Lake
Medallion architecture
Data modelling
Python and PySpark
Advanced SQL
Version control and CI/CD best practices
Nice-to-Have Skills
Scala programming
Other cloud platforms (AWS or GCP)
ETL development using third-party APIs
Data streaming technologies (Spark Streaming)
Infrastructure as Code (IaC)
Data governance frameworks
Education Requirements
Degree in Computer Science, Mathematics, or a related technical discipline
Working Model
Hybrid setup (Barcelona area required)
3 days onsite / 2 days remote
No travel required
No on-call support required
Standard business working hours
What We Offer
Opportunity to work on large-scale data platform initiatives
Hybrid working environment
Collaborative international team
Long-term project stability
Azure Data Lake Storage, Data Factory, Databricks, Spark, Python, PySpark
Senior Data Engineer (Azure + Databricks) Hybrid (Barcelona)
Company: GlobalSysInfo Services SL
Location: Barcelona (Hybrid 3 days onsite, 2 days remote)
Work Schedule: Full-time (Monday to Friday, 8 hours/day)
Language Requirement: English Expert level
Experience Required: Minimum 4 years
Role Overview
We are looking for a Senior Data Engineer with strong experience in Azure data services and Databricks to join a strategic data and analytics project. The role involves designing, building, and optimizing scalable data pipelines and supporting modern data platform initiatives.
Required Skills
Azure Data Lake Storage
Azure Data Factory
Databricks platform
Apache Spark (job and cluster optimization)
Databricks workflows and jobs
Delta Lake
Medallion architecture
Data modelling
Python and PySpark
Advanced SQL
Version control and CI/CD best practices
Nice-to-Have Skills
Scala programming
Other cloud platforms (AWS or GCP)
ETL development using third-party APIs
Data streaming technologies (Spark Streaming)
Infrastructure as Code (IaC)
Data governance frameworks
Education Requirements
Degree in Computer Science, Mathematics, or a related technical discipline
Working Model
Hybrid setup (Barcelona area required)
3 days onsite / 2 days remote
No travel required
No on-call support required
Standard business working hours
What We Offer
Opportunity to work on large-scale data platform initiatives
Hybrid working environment
Collaborative international team
Long-term project stability
Azure Data Lake Storage, Data Factory, Databricks, Spark, Python, PySpark