AWS Senior Data Engineer

Recruit Digital is now part of Salt, a global, award-winning digital recruitment agency, connecting people and businesses within Creative, Marketing, Sales, and Technology. Over 250 consultants are "Creating Futures" around the world and change the lives of 1000s of people each year by helping them to start new roles in some of the most exciting start-ups, scale-ups, agencies or large global powerhouses. We cover permanent as well as contract roles and have offices in Auckland, Cape Town, Dubai, Johannesburg, Hong Kong, Kuala Lumpur, London, Melbourne, New York, Singapore, and Sydney. Our services range from single hires to covering complete outsourcing solutions involving business change. We partner with our clients to find and place not only the best individual talent but also produce the most impressive and exciting digital teams across the globe. In New Zealand, our market coverage extends to Accounting & Finance, Business Support & Operations, and Supply Chain & Logistics. Salt also recently acquired APAC-based specialist digital, tech, media, and sales firm, Xpand to further increase our global talent services. Together with the new teams, we will have a stronger presence in the market as they join our vision in "Creating Futures" for our customers globally that will positively impact the digital economy. Qualifications Bachelor's Degree in Information Technology, Computer Science, Information Systems, Data Management, Engineering, Mathematics or related discipline. AWS Cloud Practitioner Certification as a minimum. Relevant Business Analysis, Agile and Data certifications will be advantageous. Experience Mandatory Minimum 8 years professional experience. Minimum 5 years experience within Financial Services. Minimum 5 years Business Analysis or Feature Analysis experience. Minimum 5 years Data Analysis experience. Experience working within Agile delivery environments. Experience engaging senior business and technology stakeholders. Functional Skills Requirements Elicitation and Management. Business Analysis. Feature Analysis. User Story Development. Acceptance Criteria Definition. Workshop Facilitation. Process Analysis. Data Analysis. Data Mapping. Data Modelling. Data Governance. Data Lineage. Data Quality Analysis. Stakeholder Management. Backlog Management. Agile Delivery Support. Testing Support and Validation. Technical Skills

SQL.

Data Profiling. Data Warehousing Concepts. Data Architecture Concepts. Metadata Management. Data Lineage Tooling. Reporting and Analytics Concepts. API and System Integration Understanding. Jira and Agile Tooling. Highly Advantageous Experience Foreign Exchange (FX) domain knowledge. Capital Markets experience. Treasury systems exposure. Front Office Trading environments. Regulatory Reporting. AWS Cloud Data Platforms. Data Migration Programmes. Enterprise Data Management frameworks. Financial Product Data Models. Key Success Criteria The resources shall be deemed successful when: Business and data requirements are documented and approved. User stories and acceptance criteria are production-ready. Target-state data models are documented and validated. Data lineage and ownership artefacts are completed. Critical data elements are identified and catalogued. Cross-stream dependencies are analysed and managed. Data quality issues are identified with remediation recommendations. Architecture and implementation decisions are supported through evidence-based analysis. Programme delivery milestones are supported without delays attributable to analysis activities.