Senior Data Engineer (AI)

Location: Krakow, Poland

Company

hirify.global develops an AI-powered banking platform and data products for banks worldwide.

What you will do

• Develop and maintain Data Lakehouse workspaces, objects, data pipelines, and data ingestion solutions.
• Process data from RDBMS, Change Data Capture, and streaming endpoints while ensuring accuracy, consistency, quality, and governance.
• Develop data-oriented solutions with SQL and Python and create data models for reporting, analytics, and AI models.
• Build custom visualizations, interactive dashboards, and reports with user experience designers.
• Design and deploy scalable AI-driven infrastructure, agent orchestration layers, evaluative frameworks, and MCP tools for querying documentation, API specifications, and release history.
• Collaborate with cross-functional teams, troubleshoot issues, optimize solutions, and document data models, reports, dashboards, and other solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data engineering, preferably with Databricks.
• Strong programming skills in Python and Java and database programming skills in SQL.
• Expertise in Data Lakehouse concepts and Delta Lake.
• Strong solution design and architecture skills, including understanding of data domains, regulations, and compliance requirements.
• Experience with cloud computing platforms such as AWS or Azure.
• Exceptional problem-solving skills and the ability to think critically under pressure.
• Excellent communication and collaboration skills, including the ability to explain concepts to colleagues.
• Excellent written and verbal communication skills in English.

Culture & Benefits

• Work in the Product & Platform Department in Krakow.
• Join a multinational, diversified, focused, and professional environment with a friendly atmosphere.
• Build data products with documented contracts, freshness and quality expectations, and controlled access.
• Use tested, reviewed, observable pipelines deployed through CI/CD and promoted across environments.