Senior Data Engineer at Morgan Stanley

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Processes, Data Pipelines, Data Models, Distributed Computing, Spark, Hadoop, Cloud Platforms, Data Governance, Data Security, Data Recovery, Technical Infrastructure, Collaboration, OOP, Algorithms, Data Insights

Industry

Financial Services

Description

Deliver data insights and key business metrics in the form of tools and reports to COOs, Business Management. Projects include maintenance and development of new features. Develop and maintain data pipelines, ETL processes, and data models to support business needs. Optimize data workflows for performance and reliability in distributed environments. Collaborate with cross-functional teams to design and implement scalable data solutions. Implement data governance, security, and recovery mechanisms. Support technical infrastructure for data engineering solutions. Education: CS or related education, knowledge of data structures, algorithms, OOP 5-8 years experience with data engineering and distributed computing Experience with distributed computing frameworks (e.g., Spark, Hadoop) or cloud platforms (SnowFlake, AWS) is an advantage. Experience in IT operations is an advantage. 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. 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. 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? Speak to our recruitment team to find out more. 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.

Responsibilities

Deliver data insights and key business metrics through tools and reports. Develop and maintain data pipelines, ETL processes, and optimize data workflows for performance and reliability.