Data engineer

At Exerizon, we have redefined the traditional consulting model: we are not merely a service provider, but a partner who shares both the risk and the success with our clients. We are building a data team from the ground up—and you will help decide its direction. We work on modern data platform projects—Data Lakes, Data Lakehouses, and cloud data warehouses on Databricks or Snowflake—as well as AI-assisted data migrations. AI also supports us every day: we automate repetitive, tedious tasks, leaving you with the work that truly requires thought and decision-making.

• 2–4 years of experience (mid-level) or 4+ years (senior-level)
• Good knowledge of at least one of the platforms: Databricks or Snowflake
• Good knowledge of SQL and Python
• Knowledge of at least one database engine: Oracle, PostgreSQL, or MS SQL
• Good knowledge of data warehousing fundamentals: loading processes and layered architecture
• Knowledge of data modeling techniques (Kimball, Data Vault)
• Knowledge of data testing approaches and at least one tool such as dbt tests or Great Expectations
• Understanding of data lineage and data cataloging concepts
• Practical knowledge of process orchestration tools, e.g. Airflow, Dagster, dbt, or native platform mechanisms (Databricks Workflows, Snowflake Tasks)
• Basic knowledge of Azure or AWS in the context of data processing
• Ability to work with a Git repository
• Ability to create documentation for solutions you build
• Independence: managing your own tasks, their status, and priorities
• Curiosity when diagnosing data processing problems
• Openness to working with AI tools, e.g. Claude or GitHub Copilot
• Willingness to understand the business you provide data to—not just the technology you work with
• Будет плюсом: Knowledge of both platforms: Databricks and Snowflake; Practical knowledge of dbt as a transformation tool (beyond testing alone); Experience implementing solutions using CI/CD and infrastructure-as-code approaches, e.g. Databricks Asset Bundles (DAB), Snowflake CLI, Terraform, schemachange, Liquibase, or Flyway; Knowledge of open table formats (Delta Lake, Apache Iceberg); Basic knowledge of data product concepts; Knowledge of Row Level Security and Column Level Security mechanisms, along with the ability to implement them; Knowledge of reference standards for selected domains: BIAN (banking), ACORD (insurance), HL7/FHIR (healthcare)

• Full remote: Work from anywhere in Poland.
• Impact: A real opportunity to shape IT solutions for key market players without unnecessary corporate bureaucracy.
• Seniority culture: Work alongside experts with experience at the world's largest consulting and technology companies.
• Attractive compensation: At Exerizon, we value tangible results, so our rates reflect the highest market standards.