Payment Data Developer

Minimum requirements:

Responsibilities:

• Accountable for producing a consistent and easily accessible data layer that exposes accurate representations of business rules.
• Responsibilities will include ETL development Storage management Data Provisioning Database development and maintenance
• Develop high quality data retrieval storage & distribution design and architecture in a test driven & domain driven / cross domain environment
• Design and deploy solutions in conjunction with other business units to improve efficiency and consistency of delivery.
• Guide the process to maintain a reflexive and preemptive space with strong customer focus
• Create & Maintain Sophisticated CI / CD Pipelines (authoring & supporting CI/CD pipelines in Jenkins or similar tools and deploy to multisite environments supporting and managing your applications all the way to production)
• Take accountability for deeply understanding the technical landscape and bank wide architecture that is connected to or dependent on the business area supported in order to effectively design & deliver data solutions (architecture pipeline etc.)
• Leverage state of the art relational and NoSQL databases as well integration and streaming platforms do deliver sustainable business specific data solutions.
• Strategically & operationally monitor the performance of data products and services ensuring ongoing optimization & cost to value for our businesses (think bank wide)
• Automate tasks through appropriate tools and scripting technologies e.g. AWS tools SQL tools
• Debug existing source code and polish feature sets.
• Assemble large complex data sets that meet business requirements & manage the data pipeline
• Build infrastructure to automate extremely high volumes of data delivery and Creatively solve data volume and scaling challenges
• Ensure designs & solutions support the technical organisation principles of selfservice repeatability testability scalability & resilience
• Apply general design patterns and paradigms to deliver technical solutions
• Inform & support the infrastructure build required for optimal extraction transformation and loading of data from a wide variety of data sources.
• Responsible for the smooth running of data ingestion and provisioning thereof working on conjunction with channel managers to ensure smooth flows of data.
• This will include the development of short term solutions and the subsequent migration onto permanent mass storage across multiple technologies.
• Continuously optimise improve & automate data retrieval storage & distribution processes
• Work across the value chain and in particular with QA & CSO to define and implement quality assurance routines & processes
• Collaborate with data science teams & broader business & technical stakeholders to analyse customer data requirements & leverage analysis to identify & accurately spec / frame & set the appropriate data architecture for the business area
• Leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem
• Meaningfully contribute & ensure solutions align to the design & direction of the Group Architecture & in particular data standards principles preferences & practices.
• Short term deployment must align to strategic long term delivery.
• Stay ahead of the curve on data retrieval storage & distribution technologies & processes (global best practices & trends) ensuring best practice.
• Ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLAs IAAS PAAS SAAS DAAS Containerisation etc.
• Adhere to Business data storage requirements as well as an legislation
• Provide consulting and learning to other areas to continually create a fertile area for data centric thinking. Knowledge sharing Mentoring
• Take one stop shop accountability for the retrieval storage processing & distribution of data across a business area (data ecosystem)
• Perform all other duties as reasonably assigned.