Design, develop, test, deploy, maintain and improve software
Develop flowcharts, layouts and documentation to identify requirements & solutions
Write well designed & high-quality testable code
Produce specifications and determine operational feasibility
Integrate software components into fully functional platform
Apply pro-actively & perform hands-on design and implementation of best practice CI/CD
Coaching & mentoring of other Service Team members
Develop/contribute to software verification plans and quality assurance procedures
Document and maintain software functionality
Troubleshoot, debug and upgrade existing systems, including participating in DR tests
Deploy programs and evaluate customer feedback
Contribute to team estimation for delivery and expectation management for scope.
Comply with industry standards and regulatory requirements
Ensuring throughout project life cycle, the data component of the solution i.e. data management (data generation, standardisation, Integration, transformation, migration, delivery, etc) is aligned with the Data Architecture pattern/ principles/policies and working closely with the solution designers.
Identification and escalation of any potential gaps in the target data architecture, including likely impact of gaps
Responsible for ensuring the Data design will fit for business purpose and deliver expected benefits with minimal risk/data impact to the other business unit across the enterprise, who are users of the specific data. In addition, the data engineer to ensure the design caters for potential future usage of data by customers across the enterprise.
What will you bring:
3+ years technical experience (within financial services industry preferred)
Technical Domain experience (Subject Matter Expertise in Technology or Tools)
Solid experience, knowledge and skills in Data Engineering, BI/software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse/Lake House environment.
Hands on programming experience in writing Python, SQL, Unix Shell scripts, in a complex enterprise environment
Experience in configuration management using Ansible/Jenkins/GIT
Hands on experience working on relational Databases - Oracle or MS SQL or DB2 (SQL/PLSQL, Database design, Normalisation, Execution plan analysis, Index creation and maintenance, Stored Procedures)
Knowledge of Data Modelling techniques and practices used for a Data Warehouse/Data Mart application.
Quality engineering development experience (CI/CD Jenkins)
Experience with Source Control Tools Github or BitBucket
Skilled in querying data from a range of data sources that store structured and unstructured data
