Data Engineer (Databricks)

TL;DR

Data Engineer (Databricks): Building and maintaining operational data pipelines and integrations for modern lakehouse platforms with an accent on scalability, security, and reliability. Focus on implementing foundational data systems on Databricks and delivering high-impact solutions for clients in healthcare and banking.

Location: Must be based in the Netherlands

Company

A global technology consultancy renowned for its expertise in delivering high-value Data and AI solutions.

What you will do

• Build and maintain operational data pipelines and integrations on Databricks lakehouse platforms.
• Implement foundational data systems to store, transform, and process data at scale.
• Design robust and scalable systems with a focus on security, reliability, and future growth.
• Collaborate long-term with clients in the healthcare and banking sectors.
• Align team members on design choices and guide clients in making informed data landscape decisions.

Requirements

• At least 3 years of relevant work experience in data engineering.
• Hands-on experience with Databricks, including Spark, Delta Lake, Unity Catalog, and workflows.
• Solid understanding of cloud providers (AWS, Azure, GCP) and their interaction with Databricks.
• Professional-level proficiency in Dutch is required.
• Must be based in the Netherlands.

Culture & Benefits

• Annual educational budget of 2.5K and an unlimited book budget.
• Choice of laptop (including MacBook) and mobile phone.
• Lease car or mobility budget.
• Pension plan and professional career strategy support.
• Free healthy lunches and snacks provided at the office.
• Sandbox environments in GCP, AWS, and Azure for testing and experimentation.