Senior Data Software Engineer with Databricks, dbt, Data Quality

We are seeking aSenior Data Software Engineer to support and strengthen a Data & Analytics program focused on scaling the Databricks platform and migrating data and workloads from Teradata. This role requires strong governance around data reconciliation, validation, CI/CD deployment controls, and production release readiness, along with a proactive approach to resolving incidents and improving the reliability of data pipelines.

Responsibilities

• Provide day-to-day support for the Data & Analytics team, triage and resolve incidents raised by stakeholders
• Diagnose and fix broken or failing dbt models, including compilation errors, test failures, schema drift, and stale dependencies
• Monitor, debug, and repair Databricks workflows and jobs, including failed runs, cluster issues, and scheduling problems
• Investigate data quality issues and pipeline failures to identify root cause and apply fixes
• Maintain and improve dbt tests, documentation, and model configurations
• Respond to ad hoc requests for data fixes, backfills, or re-runs
• Collaborate with data engineers and analysts to prevent recurring issues by improving alerting, adding tests, and refactoring fragile models
• Keep runbooks and support documentation up to date
• Escalate complex issues appropriately while owning resolution end-to-end

Requirements

• 3+ years of practical experience with dbt, including models, tests, macros, and debugging build/run errors
• Experience with Databricks, including notebooks, jobs/workflows, clusters, and basic troubleshooting
• Solid SQL skills with comfort reading and modifying transformation logic
• Familiarity with git-based workflows, including PRs and version control
• Strong troubleshooting mindset and ownership of issues through to resolution
• Good communication skills for working with technical and non-technical stakeholders
• Proficiency in English at a B2+ level