The Role
Design, develop, and maintain scalable data pipelines and processing workflows using Databricks, PySpark, Azure Data Factory, and Python. Implement data governance, quality, and lineage practices. Optimize and troubleshoot pipelines to ensure reliable, enterprise-grade data delivery.
Summary Generated by Built In
As an Azure Data Engineer, you will:
- Design, develop, and maintain robust data pipelines using Databricks, PySpark, Azure Data Factory, and Python.
- Implement scalable data solutions with a strong focus on data governance, data quality, and data lineage.
- Develop and optimize data processing workflows to support reliable and high-quality data delivery.
- Work with cloud-based data engineering technologies to build and maintain enterprise-grade data solutions.
What You Bring to the Table:
- 10+ years of experience in Data Engineering.
- Strong hands-on experience with Databricks.
- Strong experience with PySpark.
- Experience with Azure Data Factory (ADF).
- Strong Python scripting skills.
- Experience implementing data governance, data quality, and data lineage.
- Proven experience designing and maintaining robust data pipelines.
You should possess the ability to:
- Build scalable and reliable data pipelines.
- Apply data governance and data quality principles across data solutions.
- Implement effective data lineage practices.
- Develop efficient data processing solutions using PySpark and Python.
- Work effectively with Databricks and Azure Data Factory.
- Troubleshoot and optimize data pipelines and processing workflows.
What We Bring to the Table:
- Opportunity to work on large-scale data engineering solutions.
- Exposure to modern data technologies including Databricks, PySpark, Azure Data Factory, and Python.
- Opportunity to contribute to data governance, data quality, and data lineage initiatives.
- A professional environment focused on building robust and scalable data solutions.
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
- 10+ years of experience in Data Engineering
- Strong hands-on experience with Databricks
- Strong experience with PySpark
- Experience with Azure Data Factory (ADF)
- Strong Python scripting skills
- Experience implementing data governance, data quality, and data lineage
- Proven experience designing and maintaining robust data pipelines
- Ability to troubleshoot and optimize data pipelines and processing workflows
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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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