Data Engineer II

We are seeking a Data Engineer to contribute to the development enhancement and maintenance of distributed data processing pipelines using Spark/Scala Python and Snowflake and to support reporting and data visualization through Power BI.

The engineer will work closely with senior developers to migrate legacy business logic to modern platforms assist in cloud data warehouse operations and support analytics teams with reliable well structured datasets. This role provides an opportunity to build foundational skills in cloud data engineering and enterprise grade analytics solutions.

The role sits within a technology team responsible for building scalable cloud ready data processing and reporting solutions. The team supports transformation initiatives including modernization of data pipelines migration of legacy reporting platforms and development of high quality analytics driven data products.

Since 1935 Morgan Stanley is known as a global leader in financial services always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What youll do in the role:

• Develop and enhance distributed data transformation jobs using Spark/Scala aligned with ongoing QlikView to Spark migration patterns.

• Write Python scripts to support automation ETL workflows data ingestion and reporting.

• Assist with loading modelling and optimizing datasets in Snowflake including staging copy commands SQL development and stored procedures.

• Support the development of Power BI dashboards and help implement visualization best practices including enabling access and exploring Snowflake backed reporting flows.

• Work collaboratively with senior engineers participating in Agile ceremonies code reviews and documentation.

• Commit code to Git based repositories ensuring adherence to engineering standards and version control practices used across Spark and Power BI repositories.

• Contribute to workflow orchestration tasks such as Airflow DAGs and scheduled data processes as required.

What youll bring to the role:

• Foundational programming experience in Scala or Java with willingness to work in Spark.

• Proficiency in Python for scripting automation and ETL workflows.

• Strong SQL fundamentals and interest in cloud data warehousing ideally Snowflake.

• Basic understanding of data visualization and BI concepts; familiarity with Power BI is preferred.

• Willingness to learn modern cloud data engineering tools and practices.

• Bachelors degree in computer science Engineering Information Technology or related discipline; or equivalent practical experience.

• Preferred exposure to distributed computing concepts (Spark) and data lake/data warehouse ecosystems and awareness of workflow orchestration tools (e.g. Airflow).

• Preferred understanding of CI/CD pipelines version control practices and cloud platform fundamentals.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley we raise manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll find an opportunity to work alongside the best and the brightest in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe please copy and paste into your browser.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds talents perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting developing and advancing individuals based on their skills and talents.