HSBC is one of the world’s largest banking and financial services organisations. We serve millions of customers through our global businesses and functions, connecting people, ideas and capital to help build a thriving economy. In Data & Analytics, our teams are focused on delivering HSBC’s Data Strategy by recognising data as an asset—managing data risk and meeting standards and policies, using analytics and data science to unlock value, and implementing and maintaining modern data technologies.

In Sheffield, you’ll join a collaborative technology community where engineering quality, responsible delivery and continuous improvement matter—without losing sight that what we build impacts customers’ everyday lives.

What you’ll do

• Build, enhance and support data engineering solutions across the end-to-end data lifecycle (sourcing, ingestion, warehousing, refinery, big data and cloud migration).
• Develop and maintain robust code using modern languages and approaches (e.g., Python, Scala; algorithms and engineering best practices).
• Partner with Data Architects and Analytical Engineers to shape solutions that meet HSBC architecture standards and technology controls.
• Contribute to delivering resilient, compliant data platforms and services that support analytics and data science use cases.
• Help unlock business value from HSBC’s data by delivering trusted, well-managed, well-governed datasets and pipelines.

What you’ll need (skills & experience)

• Data Engineering, Data Management, Data Transformation, Data Operations, Data Services
• Strong development skills including Python and/or Scala, software coding, algorithm development
• Experience with big data and cloud technologies (cloud infrastructure / cloud technologies)
• Data lifecycle and platform experience: ingestion, data warehousing, data refinery, data marts, migration
• Data governance and controls: data standards, stewardship, retention, enterprise data management
• Data architecture and modelling exposure (working alongside architects; translating designs into build)

Tools/tech exposure:

• Teradata, Cloudera
• Collibra, Qlik, Quentexa