Senior Data Engineer – AI & LLM in Banking (Hybrid)

Enfint; Warszawa; Hybrid; PLN 200,000 - 320,000; Full time

Benefits offered by this job

Hybrid working model

Career development opportunities

Diverse and inclusive environment

Job summary

Enfint is seeking an experienced data/ML engineer to lead AI initiatives in a hybrid Warsaw-based role. You will define data-driven AI processes, own end-to-end implementations, and build LLM-powered features inside a Snowflake-powered platform.

You will collaborate across teams to design robust pipelines, leveraging Snowflake Cortex, LLM APIs, and CI/CD to deliver scalable, compliant solutions for financial services data.

Qualifications

• 8+ years of experience in data or ML engineering with production Snowflake experience.
• Strong SQL and Snowpark skills with Python or Scala.
• At least 1 year of production experience with LLMs, including API integrations, structured outputs, tool use, and retrieval.
• Good understanding of MCPs, Context Engineering, and tools supporting LLM integrations.
• Experience with productionized Agentic AI solutions and market or industry standards decision-making agents.
• Practical experience with Snowflake Cortex, Anthropic API, OpenAI API, or Azure OpenAI.
• Experience with Airflow, Bitbucket, and CI/CD.

Responsibilities

• Define and establish AI processes around data, identify valuable use cases, design approaches, and own implementation.
• Build LLM-powered features into the Streamlit-in-Snowflake platform, including natural-language query interfaces, anomaly detection, and schema explanations.
• Work with Snowflake Cortex, including LLM functions, Cortex Search, and Cortex Analyst.
• Design RAG pipelines over structured and semi-structured data, including metadata catalogs, transformation configurations, and code repositories.
• Develop AI-assisted tooling such as SQL review assistants, documentation agents, and test generators.
• Contribute to team AI practices, including Copilot usage, context maintenance, and output quality evaluation.
• Build and maintain Snowflake transformation pipelines using stored procedures, Snowpark, and Dynamic Tables.
• Engage in requirement analysis and understand domain and data context before building solutions.
• Own CI/CD for deliverables end-to-end.
• Work across the full delivery lifecycle from analysis and development to testing and deployment.
• Track AI tooling developments, new models, coding assistants, Snowflake Cortex updates, and agentic frameworks.
• Maintain context files and prompt standards for team-wide AI tooling.
• Review, test, and own committed AI-generated output.

Skills

SQL

Snowpark

Python

Scala

LLMs

API integrations

Tools

Snowflake Cortex

Anthropic API

OpenAI API

Airflow

CI/CD

Job description

Enfint is seeking an experienced data/ML engineer to lead AI initiatives in a hybrid Warsaw-based role. You will define data-driven AI processes, own end-to-end implementations, and build LLM-powered features inside a Snowflake-powered platform.

You will collaborate across teams to design robust pipelines, leveraging Snowflake Cortex, LLM APIs, and CI/CD to deliver scalable, compliant solutions for financial services data.