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

📌 Senior databricks engineer (España)
🏢 Randstad Digital Belgium
📍 España