We’re seeking someone to join our team as a Data Engineer to provide specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Be part of the Morgan Stanley data ecosystem by leveraging industry leading tools to deliver data products on a scale you’ll struggle to find at many other places. Data is a true enabler for us, which we embrace across the organisation.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Data & Analytics Engineer position at Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

• Design, develop, and maintain robust data pipelines, ETL processes, and large-scale data warehouse solutions to support enterprise-level reporting and analytics initiatives.

• Drive automation of data workflows and reporting processes to improve efficiency and reduce manual intervention, leveraging modern tools and AI/GenAI solutions where possible.

• Enable and optimize cloud-based data platforms for scalable data storage, processing, and reporting.

• Collaborate with business stakeholders, data scientists, and engineering teams to understand requirements and deliver high-quality data solutions.

• Optimize and troubleshoot SQL queries, data models, and ETL scripts for performance and reliability.

• Ensure data integrity, quality, and security across all stages of the data lifecycle.

• Document data flows, processes, and technical solutions for ongoing support and knowledge sharing.

• Contribute to a culture of innovation, continuous learning, and agile delivery within the team.

What you'll bring to the role:

• 3–8 years of hands-on experience in data engineering, database development, or related roles.

• Strong expertise in SQL (query optimization, data modelling, and performance tuning).

• Proficiency with Snowflake (or similar cloud data platforms) and Python for data processing and automation.

• Experience with ETL tools, scripting (Shell/Python), and building scalable data pipelines.

• Solid understanding of data warehousing concepts and best practices.

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 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.