Data & Analytics Engineer at Morgan Stanley

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

0.0

Posted On

07 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Pipelines, Data Models, Data Processes, Machine Learning, AI Techniques, SQL, Python, Shell Scripting, Data Warehousing, Data Visualization, MongoDB, SingleStore, Kafka

Industry

Financial Services

Description

We’re seeking someone to join our team as a Data & Analytics 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. 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: Work with multiple Business Departments and IT teams to deliver required objectives including but not limited to: Data product development, reporting related tasks, documentation, data warehouse development, data quality related tasks, visualisation, problem analysis, integration of data and components, delivery of code, performance analysis and tuning, testing, security validation, debugging, user support, AI and ML based solutions, data cleaning and other maintenance activities, related operational tasks, etc. Participate in releases, operations and maintenance as applicable to the team and project(s) – occasionally in the weekend and off hours also If applicable for the level of seniority, participates in design and selection of solutions, and leading of engineering teams. Adhere and uphold legal requirements, policy, functional and non-functional requirements during delivery Ensures that data and operational security and governance requirements are implemented and observed and when in doubt raises concern to manager or appropriate forum Document, maintain and improvement of product and business knowledge and related processes to make it accessible to all who requires and for future reference Actively and proactively identify risk, highlight issues and participate in their resolution Provides timely update of status and issues to team, delivery management and management hierarchy If applicable, Ensures that managed resources deliver according to requirements and policy, provide support and oversight during the delivery to said resources Carry out tasks related to the job in accordance with the instructions of the supervisor What you'll bring to the role: At least 3 years of hands on experience in any of such roles: Data Engineer, Technology business analyst , ETL developer, Data integrator, Reporting analyst, etc. Strong SQL knowledge and deep understanding of data warehousing concepts is a must and are core skills Python and Shell scripting knowledge with function relevant understanding on infrastructure related topics (e.g. authentication) Ability to work with visualisation tools is a plus MongoDB, SingleStore, or Kafka #LI-FT1 #BPTECH #LI-hybrid 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 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.

Responsibilities

The role involves collaborating with various business departments and IT teams to develop data products, optimize data processes, and implement machine learning solutions. Responsibilities also include documentation, data quality tasks, and ensuring data security and governance.