Data Engineer
Hace 2 días
Barcelona Catalonia, CT, España
TechYard
Trabajo remoto
Jornada completa
Gratis con email o Google
Guarda esta oferta y sigue tu búsqueda
Crea una cuenta gratis para guardar empleos, crear alertas y volver a esta oferta desde tu panel.
Gratis con email o Google
Al continuar, aceptas nuestros Términos & Política de Privacidad.
Databricks Data Engineer | Hybrid | Barcelona, Spain
📍
Location:
Barcelona, Spain 🏢 Work Model: Hybrid 💼
Job Type
Full-time
About the Role
We are looking for an experienced Databricks Data Engineer to join our growing data team in Barcelona. In this role, you will design, build, and optimise scalable data pipelines and data platforms using Databricks, Apache Spark, and cloud technologies. You will work closely with data architects, analysts, data scientists, and business stakeholders to transform complex datasets into reliable, high-quality data solutions that drive business value.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark.
- Build and optimise data processing workflows using PySpark and SQL.
- Develop and manage data lakehouse architectures using Delta Lake and the Databricks Lakehouse Platform.
- Integrate data from multiple sources, ensuring data quality, consistency, and reliability.
- Implement data transformation, orchestration, and workflow automation.
- Optimise pipeline performance, scalability, and cost efficiency.
- Apply data governance, security, and access control best practices.
- Collaborate with cross-functional teams to deliver robust, production-ready data solutions.
- Monitor, troubleshoot, and improve existing data pipelines and data platforms. Required Skills & Experience
- Proven experience as a Data Engineer working with Databricks.
- Strong proficiency in Python, PySpark, and SQL.
- Hands-on experience with Apache Spark and Delta Lake.
- Experience designing and implementing ETL/ELT data pipelines.
- Knowledge of cloud data platforms, preferably Azure, AWS, or Google Cloud.
- Experience with data modelling, data warehousing, and lakehouse architectures.
- Familiarity with Git, CI/CD, and data pipeline orchestration.
- Strong analytical, problem-solving, and communication skills.
- Ability to work effectively within an Agile, collaborative environment. Nice to Have
- Experience with Azure Databricks and Microsoft Azure data services.
- Knowledge of Delta Live Tables / Lakeflow Declarative Pipelines and Unity Catalog.
- Experience with Terraform, infrastructure as code, or automated deployment practices.
- Familiarity with Power BI, data analytics, or machine learning workflows.
- Relevant Databricks or cloud certifications.
What We Offer
- Hybrid working model based in Barcelona.
- Opportunity to work on modern data engineering and cloud transformation projects.
- Collaborative and international working environment.
- Opportunities for professional development and technical growth.
- Competitive compensation package, aligned with experience. Interested? If you're passionate about building scalable data platforms and working with modern cloud technologies, we'd love to hear from you 📩 Apply now or reach out directly to learn more about this opportunity.
Location:
Barcelona, Spain 🏢 Work Model: Hybrid 💼
Job Type
Full-time
About the Role
We are looking for an experienced Databricks Data Engineer to join our growing data team in Barcelona. In this role, you will design, build, and optimise scalable data pipelines and data platforms using Databricks, Apache Spark, and cloud technologies. You will work closely with data architects, analysts, data scientists, and business stakeholders to transform complex datasets into reliable, high-quality data solutions that drive business value.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark.
- Build and optimise data processing workflows using PySpark and SQL.
- Develop and manage data lakehouse architectures using Delta Lake and the Databricks Lakehouse Platform.
- Integrate data from multiple sources, ensuring data quality, consistency, and reliability.
- Implement data transformation, orchestration, and workflow automation.
- Optimise pipeline performance, scalability, and cost efficiency.
- Apply data governance, security, and access control best practices.
- Collaborate with cross-functional teams to deliver robust, production-ready data solutions.
- Monitor, troubleshoot, and improve existing data pipelines and data platforms. Required Skills & Experience
- Proven experience as a Data Engineer working with Databricks.
- Strong proficiency in Python, PySpark, and SQL.
- Hands-on experience with Apache Spark and Delta Lake.
- Experience designing and implementing ETL/ELT data pipelines.
- Knowledge of cloud data platforms, preferably Azure, AWS, or Google Cloud.
- Experience with data modelling, data warehousing, and lakehouse architectures.
- Familiarity with Git, CI/CD, and data pipeline orchestration.
- Strong analytical, problem-solving, and communication skills.
- Ability to work effectively within an Agile, collaborative environment. Nice to Have
- Experience with Azure Databricks and Microsoft Azure data services.
- Knowledge of Delta Live Tables / Lakeflow Declarative Pipelines and Unity Catalog.
- Experience with Terraform, infrastructure as code, or automated deployment practices.
- Familiarity with Power BI, data analytics, or machine learning workflows.
- Relevant Databricks or cloud certifications.
What We Offer
- Hybrid working model based in Barcelona.
- Opportunity to work on modern data engineering and cloud transformation projects.
- Collaborative and international working environment.
- Opportunities for professional development and technical growth.
- Competitive compensation package, aligned with experience. Interested? If you're passionate about building scalable data platforms and working with modern cloud technologies, we'd love to hear from you 📩 Apply now or reach out directly to learn more about this opportunity.