Job Description

Team Context

• Data Engineering is responsible for the central data platform that receives and distributes data across the bank.
• This is a multi-platform environment and leverages a blend of custom, commercial and open-source tools to manage and support thousands of critical data-related jobs.
• These jobs are supported and updated in line with changes across the landscape to avoid disruption to downstream data consumers.

Job Description

• In this role, you will be part of the Data Operations team that is responsible for supporting all the applications on the Hadoop ecosystem. This role expands in maintaining changes on datasets and optimisation activities on all applications, including new development. They therefore need to understand basic programming to enable them to manage Big Data and to transfer all data to Hadoop.
• Education: Bachelor’s degree in Computer Science, Information Systems or related field.

Job Experience & Skills Required:

• 2+ years’ experience working in Big data environment, optimising and building big data pipelines, architectures and data sets with e.g. Java, Scala, Python, Hadoop, Apache Spark and Kafka
• Familiarity with Hadoop ecosystem and its components
• Good knowledge of the concepts of Hadoop
• Solid experience in a working environment in Big Data development utilising SQL or Python
• Experience in Big Data development using Spark
• Experience in Hadoop, HDFS and MapReduce
• Experience in database design, development and data modelling

The following additional knowledge, skills and attributes are preferred:

• Good knowledge in back-end programming, specifically java
• Experience with development in a Linux environment and its basic commands
• Ability to write reliable, manageable, and high-performance code
• Should have basic knowledge of SQL, database structures, principles, and theories
• Knowledge of workflow/schedulers
• Strong collaboration and communication skills
• Strong analytical and problem solving skills

Responsibilities

• Support pipelines end to end
• Build enhancements and new developments
• Build and deploy new data pipelines
• Identify optimisation opportunities
• Improvement on recovery time in case of prod failures
• Test prototypes and oversee handover to the Data Operations teams
• Attend and contribute to regular team and User meetings
• Responsible for the actual coding or programming of Hadoop applications
• High-speed querying

Education

• Bachelor’s Degree: Information Technology

End Date: July 10, 2025