Senior Data Engineer
Budapest Millennium Tower III, Hungary
Morgan Stanley
We are seeking someone to join our One Risk Store Development Team as Senior Data Engineer to focus on developing systems serving as a data integration and feeding platform, ensuring that calculation results and other data initiated in our Division reaches our downstream clients and meeting all their requirements. The main challenges in this area are the volume of the data (feeding hundreds of gigabytes daily), interfacing with multiple other systems, being exposed to different financial products to a certain extent and being resilient to errors while keeping our SLA-s. The data we feed is critical in fulfilling the regulatory requirements set by the FED, PRA or BAFIN.
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 Engineering 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:
To work with some of the best professionals in the business - for a firm that values individual intellect as much as teamwork.
A supportive and vibrant multinational environment, which is leveraging technology to its highest potential. We accept individual differences and believe in teamwork.
An open door to have continuous dialogue with our senior leaders - an environment where you are truly listened to.
Professional development opportunities including access to Morgan Stanley's world-class internal trainings.
A competitive compensation and benefits package including eligibility for an annual bonus and flexible working arrangements (core hours / work-time cycle and opportunity to work from home)
What you'll bring to the role:
6-12 years of experience in designing and building highly resilient data platforms
Strong knowledge of data engineering, architecture, and data modelling
Strong analytical and problem-solving skills
Experience in platforms like Databricks, Snowflake and Kafka
Experience on building applications on cloud (AWS or Azure)
Strong programming skills (Python, optionally Java / Scala) with the willingness to pick up others languages
Willingness to understand and enhance other people's code
Being able to work in an environment where developers oversee and work on wider bucket
Prior experience in working with Git, Bitbucket, Jenkins, working with PR-s, using JIRA, following the Scrum Agile methodology is an advantage
Prior experience in developing data or computation intensive (e.g. grid based) backend applications is an advantage
Bachelors or Masters in any relevant field of IT/Engineering
Prior knowledge of financial products is an advantage
Morgan Stanley Budapest is an integral part of the Firm’s global business functions including Technology, Finance, Risk, Institutional Securities and Wealth Management. Morgan Stanley has been rooted in the Budapest community since 2006 and is considered a leading employer among the area’s highly skilled talent. Our innovative team delivers deep technical and mathematical expertise to support the Firm’s capabilities in quantitative analysis, data analysis, and risk management. Learn more about our unmatched culture in Morgan Stanley Budapest.
#LI-RV1 #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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Bitbucket Data analysis Databricks Data pipelines Engineering Finance Git Java Jenkins Jira Kafka Machine Learning Pipelines Python Scala Scrum Snowflake
Perks/benefits: Career development Competitive pay Flex hours Salary bonus
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