Strong proficiency in Python for building frameworks, automation tooling and reusable components
Hands-on experience with Databricks (including notebooks, workflows, jobs and Unity Catalog)
Strong SQL skills and experience with distributed processing frameworks such as Apache Spark
Deep experience with dbt Core, including project structure, models, tests, macros and deployment at scale
Proven experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, Azure DevOps or GitLab CI)
Experience with data engineering platform design, including scalable pipeline and workflow architectures
Strong understanding of software engineering principles (DRY, SOLID, modular design)
Experience working with version control systems and modern Git workflows
Experience with cloud platforms (preferably AWS) and infrastructure-as-code concepts (e.g. Terraform)
Experience implementing automated testing strategies (unit, integration, data quality)
Strong understanding of platform monitoring, logging and alerting practices
Experience writing technical documentation and developer-facing guidance
Experience working in complex engineering environments with multiple teams

Experience with Databricks Asset Bundles (DAB) or similar deployment frameworks
Experience integrating AI-assisted development tools (e.g. GitHub Copilot or similar) into engineering workflows
Experience defining AI coding standards, agent configurations or prompt engineering frameworks
Knowledge of Delta Lake and Lakehouse architecture patterns
Experience working on large-scale platform engineering or developer platform teams
Understanding of IAM, secrets management and security compliance in cloud environments
Experience driving adoption of engineering platforms across multiple teams
Strong communication and technical leadership skills

No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.

Valtech is hiring a Lead Data Engineer (Platform)