Lead Data Software Engineer with Cloud Services and Databricks

Responsibilities

• Lead the full engineering lifecycle for process mining use cases, from discovery to production support
• Analyze source systems and implement reliable data ingestion, transformation, and validation pipelines
• Design and develop scalable, reusable Databricks components and Databricks Apps
• Lead PoC migrations from Celonis, assess feasibility, and evolve successful solutions into production
• Establish team engineering practices covering development, unit and integration testing, code review, CI/CD, deployment, and monitoring
• Identify technical risks and dependencies, make design decisions, and collaborate with architects and stakeholders
• Apply AI tools across the SDLC, including requirements analysis, coding, testing, code review, documentation, troubleshooting, and knowledge transfer
• Ensure AI-assisted outputs meet quality, security, compliance, confidentiality, and maintainability standards
• Support engineers through code reviews, documentation, reusable patterns, and knowledge-transfer sessions
• Provide technical input to requirements, acceptance criteria, and delivery planning

Requirements

• 5+ years of hands-on experience with Python and data engineering
• Experience designing and implementing data ingestion and transformation pipelines
• Practical experience with Databricks, data modeling, data quality, and source-system integration
• Knowledge of, and ideally practical experience building and deploying, Databricks Apps
• Experience delivering data or analytics use cases through the complete development lifecycle
• Familiarity with AI-native ways of working and AI tools such as GitHub Copilot, Databricks Genie, and Claude Code
• Experience establishing engineering processes, CI/CD, testing, code review, and release practices
• Demonstrable hands-on experience using AI tools across the SDLC
• Ability to critically review and validate AI-generated code, tests, designs, and documentation
• Experience mentoring engineers and enabling knowledge sharing
• Proactive, independent working style with strong communication and stakeholder-management skills
• Awareness of data governance, security, compliance, data lineage, and privacy requirements
• Proficiency in English at a B2+ level