Data Engineer Associate

We're seeking someone to join our Risk & Resiliency Management Team in a Data Engineer Associate role!

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 Risk & Resiliency Management position at Associate level, which is part of the job family responsible for identify, assess, and mitigate risks to ensure operational continuity and resilience in the face of potential threats or disruptions that could impact the organization, plus management of ongoing incidents.

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:

• We are seeking a skilled Data Engineer with hands-on experience in Apache Spark or Similar, Snowflake, No SQL , graph database and dbt to join our growing data team.
• You will be responsible for building scalable data pipelines, transforming data for analytics and reporting, and ensuring high data quality across the organization.
• This role is ideal for someone who thrives in a fast-paced environment and is passionate about delivering high-impact data solutions.

What you'll bring to the role:

• Proficient in languages like Python, used for scripting, ETL processes, and data manipulation and optimizations.
• Acquainted with implementing and consuming webservices and restful services.
• Skilled in Apache Spark (especially PySpark) or equivalent.
• Hands-on experience with Snowflake, including schema design, data loading, performance tuning, warehouse optimization, and access control.
• Experience with workflow orchestration tools like Airflow, Dagster, or similar.
• Solid understanding and hands-on experience with dbt for data transformation and modelling.
• Strong SQL skills and knowledge of data modelling techniques (star/snowflake schema, normalization).
• Monitor data pipeline health, ensure data quality, and troubleshoot data issues.
• Familiarity with Git, CI/CD, and version control best practices.
• Excellent problem-solving, communication, and collaboration skills.
• Familiarity with data governance, metadata management, or data catalog tools is added advantage.
• At least 2 years' relevant experience would generally be expected to find the skills required for this role

#BPTECH #LI-hybrid #LI-RK1

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.

Client-provided location(s): Budapest, Hungary

Job ID: Morgan-PT-JR023658

Employment Type: FULL_TIME

Posted: 2025-11-10T18:34:43