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 you'll 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 you'll 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. Bachelor’s 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 that’s differentiated – and we’ve 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 - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll 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. There’s 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 https://www.morganstanley.com/about-us/global-offices into your browser. Certified Persons Regulatory Requirements: If t his 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.