Snowflake Data Engineer — Hybrid, Pipelines & Analytics

Citi; Dublin; Hybrid; EUR 71,000 - 107,000; Full time

Benefits offered by this job

Hybrid working model

Professional development programs

Competitive salary and benefits

Global data engineering exposure

Job summary

Citi Dublin is seeking a Snowflake Data Engineer to design and maintain scalable data pipelines using Snowflake, SQL, and Python. You will transform raw data into analytics-ready assets, enable secure data sharing, and work with modern cloud data tools in a hybrid office setup.

You will collaborate with cross-functional teams, apply DevOps practices, and contribute to reliable data solutions across Citi's global network. A strong emphasis on data quality and performance is essential.

Qualifications

• Hands-on experience with Snowflake SQL and optimization.
• Experience building and maintaining Snowflake tasks/streams.
• Knowledge of Snowflake data sharing for secure data exchange.
• Proficient in Python for data transformation.
• Experience with GitHub version control and collaboration.
• Familiarity with DevOps practices and SDLC.

Responsibilities

• Design and build scalable Snowflake data pipelines.
• Write and optimize complex SQL queries and procedures.
• Develop and schedule Snowflake tasks and streams for automation.
• Configure Snowflake data sharing for secure exchanges.
• Use Snowpark and Python for advanced transformations.
• Analyze large datasets to identify patterns and data quality issues.
• Collaborate with teams via GitHub and ensure code quality.
• Apply DevOps practices to improve deployment reliability.

Skills

Snowflake

SQL

Python

GitHub

DevOps

Data pipelines

Tools

Snowflake Tasks/Streams

Job description

Citi Dublin is seeking a Snowflake Data Engineer to design and maintain scalable data pipelines using Snowflake, SQL, and Python. You will transform raw data into analytics-ready assets, enable secure data sharing, and work with modern cloud data tools in a hybrid office setup.

You will collaborate with cross-functional teams, apply DevOps practices, and contribute to reliable data solutions across Citi's global network. A strong emphasis on data quality and performance is essential.