Senior Data Engineer / Data Scientist (Azure Databricks) - Global Company

Location: Amsterdam

Salary: Competitive + Excellent Benefits

Contract Type: Full-time, Permanent

About Us:

Join a world-leading global organization at the forefront of innovation and digital transformation. We are seeking a highly skilled Senior Data Engineer / Data Scientist with expertise in Azure Databricks to drive our data initiatives and develop scalable solutions that power our analytics and AI-driven insights.

Key Responsibilities:

• Design, develop, and optimize data pipelines and architectures on Azure Databricks.
• Implement best practices for data engineering, ETL, and data integration across diverse sources.
• Develop and deploy machine learning models and advanced analytics solutions.
• Collaborate with cross-functional teams to drive data strategy and governance.
• Ensure data quality, performance, and security within a cloud-based environment.
• Support real-time and batch processing use cases.
• Monitor and troubleshoot Azure Databricks workflows to ensure efficiency and scalability.
• Stay ahead of industry trends, evaluating new technologies and tools.

Key Skills & Experience:

• Strong expertise in Azure Databricks, PySpark, and SQL.
• Experience with big data technologies, data lakes, and cloud computing.
• Proficiency in Azure Data Factory, Azure Synapse Analytics, and Delta Lake.
• Hands-on experience in machine learning, AI, and predictive analytics.
• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure as code.
• Familiarity with data modeling, data governance, and security best practices.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and stakeholder management skills.#

Why Join Us?

• Work on cutting-edge data solutions for a global organization.
• Access to career development and training opportunities.
• A collaborative and inclusive work environment.
• Competitive salary and comprehensive benefits package.

If you are passionate about data engineering, cloud technologies, and AI-driven insights, and want to make an impact in a global business, we'd love to hear from you!