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Azure Data Engineer (ID:3995)

STAFIDE

Amsterdam
Full-time
10+ years experience
On-site

Key Skills

Azure Data Engineer
Databricks
PySpark
Azure Data Factory
Python
Data Pipelines
Data Governance
Data Quality
Data Lineage
Cloud Data Engineering
Data Processing
Workflow Optimization

Job Description

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

Core Responsibilities

Design, develop, and maintain robust data pipelines using Databricks, PySpark, and Azure Data Factory. Implement scalable data solutions with a focus on data governance, quality, and lineage.

Requirements

Requires 10+ years of experience in data engineering with strong hands-on skills in Databricks, PySpark, and Python. Proven ability to build scalable data pipelines and implement effective data governance practices is essential.

About STAFIDE

Industry: Staffing and Recruiting

Company size: 11-50 employees

Headquartered in the Netherlands, STAFIDE specializes in Niche Tech Recruitment across Europe, connecting top talent with outstanding opportunities in the IT sector. Our data-driven recruitment model ensures the ideal match between candidates and employers, enhancing both skill alignment and cultural fit. With a strong focus on Skill-Based Hiring, we provide candidates with an in-depth understanding of the organization—whether for permanent positions or temporary assignments (interim opdrachten) like secondment (detachering)—strengthening employer branding for our clients as a recruitment company (uitzendbureau). In today’s fast-evolving tech landscape, we recognize the unique challenges companies face in sourcing highly skilled talent. Our advanced, AI-driven talent intelligence system (ATS) is specifically designed to prioritize Skill-Based Hiring for niche IT roles, empowering organizations to address talent shortages by identifying professionals with the expertise to drive innovation and growth. Whether you’re a company in search of exceptional talent or a professional seeking your next ICT role, STAFIDE is your strategic recruitment (werving en selectie) partner. Our deep expertise in the Dutch market, combined with a steadfast commitment to excellence, makes us the preferred choice for all your recruitment needs.

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