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Senior Azure Databricks Developer (ID: 3819)

STAFIDE

Amsterdam
Full-time
5-10 years experience
On-site

Key Skills

Azure Databricks
Python
PySpark
SQL
Azure DevOps
YAML
ARM Templates
Bicep
CI/CD
Infrastructure as Code
Data Modeling
Distributed Data Processing
Agile
Batch Processing
Streaming Data Pipelines
Cloud Data Architecture

Job Description

As a Senior Azure Databricks Developer, you will:
  • Design, develop, and maintain scalable data processing solutions using Azure Databricks.
  • Build and optimize batch and streaming data pipelines using Python, PySpark, and SQL.
  • Design and implement robust data models within the Databricks ecosystem.
  • Manage multiple parallel data processing workloads on shared datasets while ensuring performance and reliability.
  • Collaborate with cross-functional teams to deliver high-quality data solutions aligned with business requirements.
  • Implement CI/CD pipelines using Azure DevOps and YAML-based deployment frameworks.
  • Utilize Infrastructure as Code (ARM/Bicep) to automate cloud resource provisioning and management.
  • Participate in Agile ceremonies and contribute to continuous improvement initiatives.
  • Ensure solution quality, maintainability, scalability, and adherence to engineering best practices.
  • Make informed technical decisions within a complex and evolving cloud data architecture.
What You Bring to the Table:
  • 6–8 years of overall experience in software engineering, data engineering, or cloud data platform development.
  • Strong hands-on experience with Azure Databricks as a primary development platform.
  • Deep expertise in Python, PySpark, and SQL for large-scale data processing.
  • Proven experience building and managing both streaming and batch processing solutions.
  • Solid experience with Azure cloud services and CI/CD implementation using YAML pipelines.
  • Hands-on experience with Infrastructure as Code tools, particularly ARM Templates and/or Bicep.
  • Strong understanding of distributed data processing concepts and performance optimization.
  • Experience working in Agile development environments.
  • Exposure to end-to-end data platform architectures is an added advantage.
You Should Possess the Ability to:
  • Design reliable and scalable data processing frameworks within Azure Databricks.
  • Handle complex data transformation and processing requirements efficiently.
  • Optimize data workloads for performance, scalability, and cost-effectiveness.
  • Manage concurrent processing pipelines and shared data dependencies.
  • Identify, troubleshoot, and resolve technical issues proactively.
  • Communicate technical concepts effectively to stakeholders and team members.
  • Balance engineering best practices with practical business requirements.
  • Drive continuous improvement initiatives and reduce technical debt.
  • Deliver maintainable, production-grade solutions with a strong focus on quality.
What We Bring to the Table:
  • Opportunity to work on large-scale cloud-native data platforms and modern data engineering initiatives.
  • Exposure to cutting-edge Azure and Databricks technologies.
  • Collaborative Agile work environment focused on innovation and continuous learning.
  • Challenging technical projects that encourage ownership and professional growth.
  • A culture that values quality engineering, pragmatic problem-solving, and teamwork.
  • Opportunities to contribute to architecture decisions and influence technical direction.
  • Dynamic and supportive team environment focused on delivering impactful solutions.
Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.
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Recruiter: Giftson Paul Davidson
Phone: +31 20 369 0609 ; Extn : 146
E-mail: [email protected]
LinkedIn: https://www.linkedin.com/in/giftsonpauldavidson

Core Responsibilities

Design, develop, and maintain scalable data processing solutions and pipelines using Azure Databricks. Implement CI/CD pipelines and automate cloud resource provisioning using Infrastructure as Code.

Requirements

Requires 6-8 years of experience in software or data engineering with deep expertise in Python, PySpark, and SQL. Must have proven experience with Azure cloud services, YAML pipelines, and ARM/Bicep templates.

Benefits

  • Exposure To Cutting-edge Azure And Databricks Technologies
  • Collaborative Agile Work Environment
  • Professional Growth Opportunities
  • Influence Over Technical Direction

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.

Added 3 months ago