Snowflake Data Engineer: Build Pipelines & AI-Ready Systems

PowerToFly; 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. You will build and maintain data infrastructure for Data AI platforms, performing hands-on development, data pipeline creation, and cross‑functional collaboration to evolve data strategy.

In this Director-level Data & Analytics Engineering role, you will craft data models, implement governance, and drive scalable solutions using Snowflake, Databricks, Python, Spark, and cloud services.

Qualifications

• Experience with Snowflake and Databricks native solutions.
• Proficiency in Python.
• Experience with data processing frameworks like Apache Spark or Hadoop.
• Knowledge of SQL and NoSQL databases.
• Familiarity with AWS and Azure data services.
• Understanding of data modeling and data architecture principles.
• Experience with data warehousing concepts and technologies.
• Experience with message queues and streaming platforms (e.g., Kafka).
• Version control experience (Git).
• Daily use of Jupyter notebooks for data exploration and analysis.
• Excellent communication and collaboration skills.
• Ability to work independently and in distributed teams.
• 8+ years as a data engineering practitioner.

Responsibilities

• Develop and maintain data pipelines and ETL processes.
• Work with structured and unstructured data to ensure accessibility.
• Optimize data systems for performance and scalability.
• Implement data quality and governance standards.
• Collaborate with stakeholders to translate data needs into technical solutions.
• Create and maintain technical documentation and training materials.
• Participate in code reviews and improve development processes.
• Contribute to the broader data architecture community through knowledge sharing.

Skills

Snowflake

Databricks

Python

Spark

Kafka

SQL

NoSQL

AWS

Azure

Git

Jupyter

Data modeling

Tools

Snowflake Cortex

Hadoop

Data warehousing

Job description

Morgan Stanley is seeking a Data Engineering Specialist to join the Architecture & Modernization team. You will build and maintain data infrastructure for Data AI platforms, performing hands-on development, data pipeline creation, and cross‑functional collaboration to evolve data strategy.

In this Director-level Data & Analytics Engineering role, you will craft data models, implement governance, and drive scalable solutions using Snowflake, Databricks, Python, Spark, and cloud services.