Who we are looking for:

We're looking for a talented, experienced QA Automation Engineer in Data with solid technical skills and a passion for writing and testing software to drive automated testing of our FX trading platform. In this role, you will take primary responsibility for the building Test Frameworks in Python in collaboration with development team. You will work closely with Data Engineering team and review requirements, create test plans that effectively evaluate very complex data pipelines and data processing algos

Why this role is important to us:

You will be joining State Street Digital, our new division that combines advanced trading technology, best execution and servicing expertise with proprietary market research and insights to support clients in decentralized financial markets. Together with other teams across our company, you will be working on the evolution of our award-winning GlobalLink technology platform into a multi-asset solution that will include crypto, central bank digital currency, blockchain and tokenization.
Join us if making your mark in the digital asset servicing industry is a challenge you are up for.

As a Automation Engineer in Data, you will:

• Build, enhance and maintain an automated test infrastructure for validating data pipelines and ETLs. Ability to examine data at different stages in different forms.
• Evaluate product functionality and create test strategies and test cases to assess product quality and automate the tests.
• Integrate with SCM infrastructure to establish a continuous build and test cycle using CICD tools - Jenkins or Teamcity.
• Comfortable working on Linux environment
• Establish processes and tools set to maintain automation scripts and generate regular test reports.
• Review Code and provide feedback to other SDITs in the team.

These skills will help you succeed in this role:

• Analytical - data-driven, intellectually curious, and consistently seek to understand how things work the way they do and why.
• Object-oriented design and coding skills in Python
• Very good understanding and ability to work with popular data formats like AVRO and Parquet
• Coding experience with automated testing frameworks, tools, services, and physical devices
• Knowledge of workflow management and distributed systems
• Ability to effectively articulate technical challenges, troubleshooting/debugging and solutions
• Deal well with ambiguous/undefined problems ability to think abstractly
• Self-starter - highly motivated, driven, and able to work effectively both independently and in a team/collaborative environment.
• A critical thinker-who uses logic to identify alternatives, evaluate, and present approaches to solve complex problems
• Team Player- comfortable and able to work within a team dynamic to meet goals and objectives.

Education & Preferred Qualifications:

• Bachelor's degree in computer science, Computer Engineering or similar technical field
• 4-8 years of experience as a Automation Data QA
• Strong understanding and coding experience in Python
• Experience in SQL
• Experience with creating test automation frameworks for large scale data projects using Python
• Experience working with Databricks delta lake is good to have
• Experience with Linux OS scripting (Shell/Bash)
• Experience with testing methodologies (Unit, Integration, System) and API testing
• Knowledge of Java is a plus but not mandatory
• Knowledge of AI/ML or GenAI tools to enhance test automation, data validation, and quality engineering processes within data platforms is a plus.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at

Read our