Senior AI/Data Engineer

Xebia is a global AI-first, digital transformation, and engineering partner with over 25 years of experience and a team of 5,000 professionals across 16 countries. In the Central and Eastern Europe (CEE) region, they have nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, and others. They work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake.

• Senior-level experience in data engineering, analytics engineering, or related field.
• Strong hands-on experience with dbt, including data modelling, testing, documentation, dependency management, and troubleshooting.
• Commercial experience with Databricks.
• Good understanding of Snowflake and experience migrating analytics workloads between data platforms.
• Strong SQL skills and experience designing data marts and analytical data models.
• Experience building and maintaining data ingestion pipelines and working with relational data sources like MySQL.
• Strong knowledge of Git and GitHub development workflows.
• Experience integrating tools through APIs, command-line interfaces, or automation frameworks.
• Experience developing AI-powered engineering tools, AI agents, or agent-based automation.
• Understanding of software engineering best practices, including automated testing, code reviews, CI/CD, logging, monitoring, and error handling.
• Ability to design reliable guardrails and validation for AI-generated or AI-executed code changes.
• Ability to work independently and take end-to-end ownership of complex solutions.
• Strong problem-solving and troubleshooting skills.
• Strong written and verbal communication skills in English.
• Documentation-first mindset with ability to create practical technical and support documentation.
• Ability to collaborate effectively with client stakeholders and engineering teams.

Nice to have:

• Hands-on experience with Devin or similar autonomous AI software engineering platforms.
• Experience building tools enabling AI agents to interact with repositories, data platforms, or development environments.
• Knowledge of agentic workflows, tool calling, prompt design, context management, and AI-agent evaluation.
• Experience implementing human-in-the-loop approval workflows for AI-driven changes.
• Familiarity with data contracts, data lineage, metadata management, and data quality frameworks.
• Experience with CI/CD pipelines for dbt and Databricks.
• Knowledge of Databricks Asset Bundles, Databricks Workflows, or Unity Catalog.
• Experience designing operational and support models for internal engineering tools.
• Experience mentoring engineers or transferring technical ownership to internal teams.

• Designing and developing an in-house AI-powered Analytics Agent running in Devin.
• Implementing agent capabilities supporting common analytics engineering tasks such as modifying data marts, ingesting additional data sources, and running dbt workflows.
• Integrating the agent with GitHub to support code changes and development activities.
• Adapting and configuring an existing dbt project to run reliably in Databricks.
• Analyzing and resolving compatibility differences between Snowflake and the new Databricks environment.
• Developing and testing new agent capabilities against the evolving dbt and Databricks setup.
• Defining safe and reliable workflows for AI-assisted changes to data models, ingestion pipelines, and analytics code.
• Applying engineering best practices around code quality, testing, code reviews, observability, security, and maintainability.
• Implementing validation mechanisms and guardrails for actions performed by the AI agent.
• Troubleshooting issues across Devin, GitHub, dbt, Databricks, Snowflake, MySQL, and related integrations.
• Collaborating with client technical stakeholders and engineering teams to align solutions with business and operational needs.
• Documenting architecture, implementation decisions, operating procedures, and common support scenarios.
• Preparing knowledge-transfer materials for future support requirements.

Work from the European Union region and a work permit are required.