Azure Data Engineer
Postaladdress
Amsterdam, Netherlands
12 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Remote
Amsterdam, Netherlands
Tech stack
Azure
Big Data
Data Architecture
Information Engineering
ETL
Data Systems
Distributed Data Store
Graph Database
Python
Neo4j
Performance Tuning
Query Optimization
Systems Integration
Working Model 2D
Cloud Platform System
Data Ingestion
Azure
PySpark
Data Analytics
Data Management
Data Pipelines
Databricks
Job description
We are seeking an experienced Azure Data Engineer with strong Neo4j expertise to join a dynamic team in Amsterdam. In this role, you will design, build, and optimize scalable data pipelines while integrating graph database solutions within a modern Azure ecosystem., * Design and implement data pipelines using Azure services
- Develop and optimize graph data models using Neo4j
- Write efficient queries using Cypher and perform performance tuning
- Build scalable data ingestion and transformation processes using Python and PySpark
- Integrate Neo4j graph databases with Azure cloud data platforms
- Work with Azure Data Factory, Azure Databricks, and Azure Storage
- Collaborate with cross-functional teams to deliver data-driven solutions
- Ensure data quality, performance, and reliability across systems
Requirements
- Strong hands-on experience with Neo4j (Cypher, graph modeling, performance tuning)
- Expertise in Microsoft Azure:
- Azure Data Factory
- Azure Databricks
- Azure Storage
- Proficiency in Python and PySpark for data engineering tasks
- Experience integrating graph databases with cloud-based data platforms
- Solid understanding of data architecture and ETL processes
Experience Required
- 6-8 years of overall experience in Data Engineering or related roles
Nice to Have
- Experience working in distributed data environments
- Familiarity with modern data architectures and big data technologies
Why Join?
- Work on innovative data and graph-based solutions
- Collaborate with a highly skilled, international team
- Flexible hybrid working model
- Opportunity to work with cutting-edge Azure and data technologies