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Morgan Stanley Data Engineer in Budapest, Hungary

We offer:

  • A supportive and vibrant multinational environment, we accept individual differences and believe in teamwork
  • Enriching challenges that provide opportunity for constant learning and advancement
  • To work with talented individuals to develop new ideas and solve some of the most complex business challenges
  • Contingent/Leased assignment working onsite at Morgan Stanley
  • Contract via 3rd party agency

You will:

**

  • Design and development of ETL and Hadoop/ Snowflake applications.
  • Undertaking end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of functional specifications and/or system designs, and ensuring that end-solution meets business needs and expectations.
  • Responsibilities around deployment support (late hour, weekend)
  • Development of new transformation processes to load data from source to target, or performance tuning of existing ETL code (mappings, sessions) and Hadoop/ Snowflake Platform.
  • Analysis of existing designs and interfaces and applying design modifications or enhancements
  • Coding and documenting data processing scripts and stored procedures.
  • Providing business insights and analysis findings for ad-hoc data requests
  • Testing software components and complete solutions (including debugging and troubleshooting) and preparing migration documentation.
  • Providing reporting-line transparency through periodic updates on project or task status;

You have:

**

  • 3 years of experience with the technical analysis and design, development and implementation of data warehousing / Data Lake solutions;
  • Strong SQL programming and stored procedure development skills;
  • 2 years of experience developing in Informatica or any other ETL tool;
  • Understanding/experience in Hive/Impala/Spark/Snowflake will be a plus.
  • 2 years relational database experience (experience with Teradata is a big plus);
  • Strong UNIX Shell scripting experience to support data warehousing solutions;
  • Process oriented, focused on standardization, streamlining, and implementation of best practices delivery approach;
  • Excellent problem solving and analytical skills;
  • Excellent verbal and written communication skills;
  • Experience in optimizing large data loads;

You may also have:

**

  • Should be a good Team player;
  • Exposure to an Agile Development environment would be a plus.
  • Knowledge about TWS Scheduler would an added advantage;
  • Strong understanding of Data warehousing domain;
  • Ability to architect an ETL solution and data conversion strategy;
  • Good understanding of dimensional modelling;

Team Profile:

Wealth Management and Investment Management Technology (WMIMT) is responsible for the design, development, delivery, and support of the technical platform behind the products and services used by the Business. Morgan Stanley Wealth Management (WM) is a product of the acquisition of Smith Barney from Citigroup, which was completed in June ‘13. Its core client base is individual investors, small- to medium-size businesses and institutions, and high net worth families and individuals.

AIDT under Management Technology provides consistent, trusted and integrated business information across all platforms and delivery channels within Morgan Stanley Wealth Management (MSWM) businesses. AIDT areas of expertise include but are not limited to Enterprise Data Warehouse (EDW) and Datalake (DL), cross-business-unit Information Management, Business Intelligence and more. AIDT team synthesizes and provisions a multitude of business-critical metrics and underlying detailed information in all Core areas of MSWM. Examples of essential data domains and metrics include Assets, Revenue, Account Demographics, Financial Advisor (FA) information, Securities and Cash Transactions, and so on.

As an integral part of AIDT, Data Integration & Delivery team is tasked with providing insightful and accurate business intelligence on Strategic Client Reporting (SCR), Account Performance metrics, Investment Insights, Trade Surveillance, Anti-Money Laundering and many other aspects of Wealth Management business. The candidate may be assigned to a single Legal and Compliance project or several projects. The role requires credibility, confidence and active participation with leadership teams, business units and technology groups across the project lifecycle. Specific assignments will depend on the size and complexity of the project.

About us:

At Morgan Stanley, we advise, originate, trade, manage and distribute capital for governments, institutions and individuals, and always do so with a standard of excellence. We are a leading global financial services firm that conducts its business through three principal business segments—Institutional Securities, Wealth Management (WM), and Investment Management. The Firm's employees serve clients worldwide from more than 1,200 offices in 43 countries. Our WM business is one of the largest in the world with more than $2 trillion in client assets, $73 billion in lending balances, and nearly 16,000 Financial Advisors in 600 offices across the U.S. Our Financial Advisors focus on delivering timely, customized solutions and services that help clients meet their financial and life goals. Our offering includes brokerage and investment advisory services, financial and wealth planning, access to credit and lending, cash management, annuities and insurance, and retirement services. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

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 maximise 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.

Job: *Wealth Management

Title: Data Engineer

Location: Europe, Middle East, Africa-Hungary-Budapest-Budapest

Requisition ID: 3252498

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