[Hiring] Senior AI/Data Engineer @Poland and Middle-Eastern Europe

Role Description

You will be:

• 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 the existing Snowflake implementation 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 appropriate 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 the client’s technical stakeholders and engineering teams to ensure the solution meets business and operational needs.
• documenting the architecture, implementation decisions, operating procedures, and common support scenarios.
• preparing knowledge-transfer materials to enable other engineers to handle future support requests.

Qualifications

• senior-level experience in data engineering, analytics engineering, or a 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 adapting or 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 such as MySQL.
• strong knowledge of Git and GitHub-based 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 mechanisms for AI-generated or AI-executed code changes.
• ability to work independently and take end-to-end ownership of technically complex solutions.
• strong problem-solving and troubleshooting skills.
• strong written and verbal communication skills in English.
• documentation-first mindset and ability to create practical technical and support documentation.
• ability to collaborate effectively with client stakeholders and engineering teams.
• Work from the European Union region and a work permit are required.

Requirements

• hands-on experience with Devin or other autonomous AI software engineering platforms.
• experience building tools that enable 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 internally developed engineering tools.
• experience mentoring engineers or transferring technical ownership of a solution to an internal team.

Recruitment Process

• CV review
• HR call
• Interview
• Client Interview
• Decision