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