data engineer in banking

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

Описание:

Nordea is a Nordic bank and technology employer that develops secure financial solutions, supports the Nordic economies, and safeguards customers’ personal data and wealth.

Задачи:

• 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;
• Consider cost, latency, and determinism when designing AI features;
• 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.

Требования:

• 8+ Years of experience in data engineering 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;
• Comfortable working across the full delivery lifecycle;
• Genuine fluency with LLMs and understanding of their capabilities and limitations;
• Nice to have: Agentic frameworks such as LangGraph and Claude Agent SDK, Streamlit in Snowflake, LLM evaluation frameworks such as LLM-as-judge, golden sets, and prompt regression testing, financial services or banking domain knowledge including credit risk, finance, or regulatory data.

Условия:

• Hybrid working model;
• Career development and learning opportunities in a large Nordic bank;
• Diverse and inclusive working environment;
• The recruitment process includes preliminary CV selection, a recruiter phone conversation, an online interview with the hiring leader, and a background check;
• Security clearance will be performed for candidates selected in Finland;
• Candidates in Poland must include the specified GDPR personal-data processing permit in their CV.