Senior Databricks Engineer

Your responsibilities:

• Provide technical and architectural leadership throughout the end-to-end data management lifecycle.
• Build and maintain scalable, metadata-driven frameworks using hands-on Databricks and Azure Cloud expertise.
• Develop robust data architectures that align with enterprise standards, security, and governance policies.
• Participate directly in development efforts and manage CI/CD pipelines and version control workflows.
• Collaborate with business stakeholders and cross-functional teams (Risk, Compliance, Security) to translate business needs into technical solutions.

Your profile:

• Deep, expert-level experience in Databricks, PySpark, Python, and the Azure Cloud ecosystem (ADLS, SQL DB).
• Proven track record in data engineering, platform administration, analytics, or scalable data architecture design.
• Strong background in data governance, master data management, metadata management, data quality, and security.
• Hands-on familiarity with CI/CD practices, Git, and agile delivery models; experience with ADF, Power BI, or Angular is a plus.
• Excellent communication, problem-solving, and cross-functional collaboration skills with a structured, pragmatic approach.

Our offer:

• Challenging projects and an entrepreneurial culture
• Guidance: we believe in the power of human connections, so we'll assign you a dedicated talent manager who will always have your back
• Career planning and professional development: our learning and development team is here to help you create your Data Consultant career path
• Team events & Learning from peers: as a technical expert, you will be part of our chapters: vibrant communities filled with colleagues who are passionate about a particular area of expertise