Senior Data Engineer (Python, Databricks)

Craftware is a technology company of over 500 experts, empowering large organizations to solve complex business challenges with modern IT solutions - from sales systems and automation to data platforms and AI. We operate where technology must be reliable, secure, and scalable. We deliver end-to-end projects: from analysis and architecture through implementation to development and maintenance. We are a trusted partner of industry leaders such as Salesforce, Veeva, UiPath, and Databricks.

Model: remote

Engagement:: full-time

Responsibilities

• Build and maintain DAB pipelines and YAML-based transformation configuration; migrate toward native Databricks Asset Bundle patterns
• Keep DEV / QAS / PRD environments consistent and drift-free across delivered markets
• Assess new data sources before sprint commitment - shape, volume, quality risks - and write feasibility notes that gate scope entry
• Develop PySpark transformations across Raw, Quality Integration, and Curated zones following CDA layer standards
• Define and run data reconciliation and acceptance criteria so business users aren't the primary quality gate at UAT

Requirements

• Azure Databricks & PySpark - senior hands-on: jobs, clusters, Unity Catalog, transformation logic, unit testing
• Delta Lake - schema evolution, MERGE, time travel; DAB - YAML config and bundle deployment
• SQL - advanced; able to read 10-year-old stored procedures without help
• CI/CD - Azure DevOps, Git branching strategy, PR discipline - practised, not theoretical
• Ability to profile source data, define acceptance criteria, and take a data problem from source assessment to UAT sign-off - without a BA intermediary
• Comfortable with incomplete documentation and evolving scope - you document decisions so others don't need a handover call

We offer

• B2B contract
• Fully remote service delivery
• Broad range of projects (internal, international) - genuine variety of clients and tasks
• Budget for skills development and certifications as part of the collaboration
• Regular collaboration reviews and discussion of project scope
• Additional benefits available as part of the collaboration
• Networking and team-building events for project teams