Security Services Data Modelling and Engineering - Senior Associate

Build your career in Data Engineering & AI Transformation while working in the world’s most innovative bank that values creativity and excellence.

You are a strategic thinker passionate about driving solutions within the Securities Services Data Modelling and Engineering team. You have found the right team.

As a Data Engineer within our AI Transformation – Securities Services team, you will spend each day defining, refining, and delivering scalable data solutions that power business insights, OKR tracking, and AI enablement.

Job responsibilities

• Design, build, and optimize data pipelines and transformation workflows using Databricks, Python, and Spark
• Develop scalable and reusable datasets to support analytics, reporting, and AI use cases
• Collaborate with Data Architects and Business Analysts to create robust data models aligned with business needs
• Document data flows, transformation logic, and ETL processes clearly for transparency and reuse
• Implement data quality checks and validation frameworks to ensure accuracy and reliability
• Execute testing and monitoring processes to maintain data integrity across pipelines
• Track project progress and deliverables using tools such as Jira to ensure visibility and accountability
• Ensure datasets and pipelines are registered in required catalogues and comply with governance standards
• Support AI and analytics initiatives by providing clean, structured, and accessible data foundations

Required qualifications, capabilities and skills

• Demonstrate proven experience in developing data pipelines and ETL workflows
• Work hands-on with Databricks, Python, and Spark for data engineering tasks
• Apply strong understanding of data modelling concepts and data architecture
• Ensure high standards of data quality, validation, and governance practices
• Analyze complex datasets and translate them into structured data solutions
• Collaborate effectively with cross-functional teams including business and technology stakeholders
• Utilize tools like Jira or similar platforms for project tracking and delivery management
• Communicate effectively with strong verbal and written skills
• Adapt quickly in an agile and fast-paced environment
• Solve problems with strong analytical and debugging capabilities
• Hold a Bachelor’s degree in a relevant field

Preferred qualifications, capabilities and skills 

• Bring experience working in financial services or securities services domain
• Leverage experience supporting AI/ML or advanced analytics initiatives
• Work with data cataloguing and governance tools effectively
• Hold experience with cloud-based data platforms and distributed computing
• Possess an advanced degree in data engineering, analytics, or a related field