Azure Databricks Data Engineer - Build Data Pipelines

Eleven Vms; Madrid; Hybrid; EUR 42,000 - 64,000; Full time

Benefits offered by this job

Hybrid work options

Learning opportunities

Global team

Team events

Job summary

Eleven VMS, part of Mantu, is the European leader in Vendor Management Systems for Professional Services Procurement. Our AI-powered SaaS platform centralizes the Source-to-Pay cycle, leveraging AI, international compliance, and human support to ensure adoption and elevate procurement performance.

Eleven VMS is seeking a Data Engineer to design scalable data pipelines, develop data architecture, and implement governance.

Qualifications

• Master's degree in computer science, Engineering, IT, or related field.
• 3/4 years of experience in data engineering, data analytics, or related fields.
• Demonstrated experience with cloud-based data platforms preferably on Databricks.
• Proficiency in SQL, Python, PySpark.
• Strong background in data warehousing, ETL processes and data modelling.

Responsibilities

• Develop scalable and efficient data pipelines on Azure using Databricks.
• Collaborate with data and AI teams to ensure end-to-end delivery of analytics use cases.
• Support the AI team in deploying developments into production, empowering end-users to harness their full potential.
• Establish best practices and maintain data governance policies and data standards.
• Stay up to date on industry trends and incorporate them into the design of our data platform.

Skills

SQL

Python

PySpark

Data warehousing

ETL

Data modelling

Team collaboration

Entrepreneurial mindset

Databricks

Education

Master's degree

Tools

Databricks

Job description

Eleven VMS, part of Mantu, is the European leader in Vendor Management Systems for Professional Services Procurement. Our AI-powered SaaS platform centralizes the Source-to-Pay cycle, leveraging AI, international compliance, and human support to ensure adoption and elevate procurement performance.

Eleven VMS is seeking a Data Engineer to design scalable data pipelines, develop data architecture, and implement governance.