Lead Data Engineer at Morgan Stanley

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Shell Programming, DevOps Automation, Hadoop Technologies, Spark, Linux Shell Scripting, Database/SQL, Postgres, DB2, Unit Testing, Integration Testing, CI/CD Tools, Artificial Intelligence, Machine Learning, Airflow, Scala, Java

Industry

Financial Services

Description

Encouraging and building automated processes wherever possible Python and shell programming in the context of DevOps automation Testing and debugging applications Developing back-end components 5+ years Python experience Knowledge on Hadoop Technologies, specifically Spark Linux Shell Scripting Database/SQL - preferably Postgres or DB2 Unit Testing, Integration Testing Gradle Build and release automation, CI/CD tools such as Jenkins, open stack, and Azure DevOps Artificial Intelligence/Machine Learning Python virtual environments Airflow or other scheduling technologies Scala/Java Jupyter Notebooks Azure/AWS Snowflake MLOps GenerativeAI experience Databricks 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

The Lead Data Engineer will encourage and build automated processes, focusing on Python and shell programming within the context of DevOps automation. Responsibilities include testing and debugging applications and developing back-end components.