Snowflake Data Engineer for AI Platforms & Pipelines

Morgan-Stanley; Glasgow; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Morgan-Stanley is seeking a Data Engineering Specialist to join the Architecture & Modernization team in a hybrid UK-based role. You will build and maintain data pipelines, ETL processes, and data platforms for Data AI initiatives, collaborating with stakeholders to drive data-driven insights.

The role requires 8+ years of data engineering experience, strong Python and Spark skills, and hands-on experience with Snowflake and Databricks.

Qualifications

• 8 years+ of practitioner experience in data engineering or a related field.
• Proficiency in Python and data engineering tools.
• Experience with Snowflake and Databricks native solutions.
• Knowledge of data modeling, data warehousing, and data governance.

Responsibilities

• Develop and maintain data pipelines and ETL processes.
• Work with structured and unstructured data for accessibility and usability.
• Optimize data systems for performance and scalability.
• Implement data quality and data governance standards.
• Collaborate with stakeholders to translate data needs into technical solutions and provide data-driven insights.
• Contribute to documentation, training materials, and code reviews.
• Participate in knowledge sharing and development process improvements.

Skills

Python

SQL

NoSQL

Apache Spark

Kafka

Git

Jupyter

Data modeling

Data warehousing

AWS

Azure

Tools

Snowflake

Databricks

Snowflake Cortex

Job description

Morgan-Stanley is seeking a Data Engineering Specialist to join the Architecture & Modernization team in a hybrid UK-based role. You will build and maintain data pipelines, ETL processes, and data platforms for Data AI initiatives, collaborating with stakeholders to drive data-driven insights.

The role requires 8+ years of data engineering experience, strong Python and Spark skills, and hands-on experience with Snowflake and Databricks.