The Role
Design, build, and maintain scalable Azure data pipelines using ADF and Databricks. Develop Python-based ETL/ELT processes, ensure data quality, governance, performance optimization, and collaborate with architects and analysts in Agile teams to deploy and monitor enterprise data solutions.
Summary Generated by Built In
As an Azure Data Engineer, you will:
- Design, develop, and maintain scalable data pipelines and data integration solutions on the Microsoft Azure platform.
- Build and optimize ETL/ELT workflows using Azure Data Factory (ADF) and Azure Databricks (ADB).
- Develop robust data processing and transformation solutions using Python and Databricks.
- Design and implement batch and near real-time data ingestion pipelines from multiple enterprise data sources.
- Collaborate with data architects, business analysts, and development teams to translate business requirements into scalable data solutions.
- Develop reusable data engineering frameworks that improve reliability, performance, and maintainability.
- Optimize data pipelines for performance, scalability, cost efficiency, and reliability.
- Ensure data quality, governance, and security across the enterprise data platform.
- Troubleshoot and resolve issues related to data ingestion, transformation, and processing.
- Participate in Agile ceremonies and contribute to continuous improvement initiatives within the engineering team.
- Support deployment, monitoring, and maintenance of Azure-based data solutions.
What You Bring to the Table:
- 4–6 years of experience in Data Engineering or Cloud Data Platform development.
- Strong hands-on expertise in Python for data engineering and automation.
- Experience designing and developing data pipelines using Azure Data Factory (ADF).
- Strong experience with Azure Databricks (ADB) for data transformation and processing.
- Good understanding of ETL/ELT concepts, data integration, and data migration techniques.
- Experience working with structured and semi-structured datasets in enterprise environments.
- Knowledge of Azure data platform services and cloud-native data architectures.
- Familiarity with SQL and data modeling principles.
- Experience working within Agile development teams and collaborative delivery environments.
- Strong analytical, troubleshooting, and problem-solving skills.
You Should Possess the Ability to:
- Design scalable and efficient Azure-based data engineering solutions.
- Develop and optimize high-performance data pipelines using Azure Data Factory and Databricks.
- Build reusable Python components for data ingestion, transformation, and orchestration.
- Collaborate effectively with cross-functional teams to deliver business-driven data solutions.
- Analyze data processing challenges and implement robust, maintainable solutions.
- Ensure high standards of data quality, security, and operational excellence.
- Adapt quickly to evolving cloud technologies and enterprise data requirements.
- Deliver solutions within Agile methodologies while maintaining quality and performance standards.
What We Bring to the Table:
- Opportunity to work on modern Azure cloud data engineering and analytics initiatives.
- Exposure to enterprise-scale data platforms and cloud-native architectures.
- Collaborative environment with experienced cloud engineers, architects, and data professionals.
- Challenging projects involving large-scale data integration, transformation, and modernization.
- Opportunities for continuous learning, technical growth, and Azure cloud specialization.
- A culture that encourages innovation, collaboration, and engineering excellence.
Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Giftson Paul Davidson
Phone: +31 20 369 0609 ; Extn : 151
LinkedIn: https://www.linkedin.com/in/giftsonpauldavidson/
Skills Required
- 4-6 years of experience in Data Engineering or Cloud Data Platform development
- Strong hands-on expertise in Python for data engineering and automation
- Experience designing and developing data pipelines using Azure Data Factory (ADF)
- Strong experience with Azure Databricks (ADB) for data transformation and processing
- Good understanding of ETL/ELT concepts, data integration, and migration techniques
- Experience working with structured and semi-structured datasets in enterprise environments
- Knowledge of Azure data platform services and cloud-native data architectures
- Familiarity with SQL and data modeling principles
- Experience working within Agile development teams and collaborative delivery environments
- Strong analytical, troubleshooting, and problem-solving skills
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The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
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