Allwyn Lottery Solutions

Data Engineer

• To architect robust data ingestion streams for real time data processing, marketing technology and analytics
• Contribute to the platform logical and physical data models
• Develop ETL, ELT routines for structured analytics
• Develop a range of integrations to APIs, flat files and other external systems to support broader ecosphere
• Work with software developers to enhance gaming platform integration
• Support testing and deployment
• Develop automated monitoring, fault recovery and diagnosis
• Document output to a high level
• Mentor and train localised application support specialists
• Lead the development of AWS data solutions
• Lead adoption of new integration and data technologies
• Input into the AWS technology roadmap and strategy
• Champion best practice and standardisation of development
• Deliver best in class solutions in terms of robustness, recovery and resilience
• Deliver continuous improvement to development methodologies and automation

Senior Data Engineer

Backend Engineer

• **As part of your everyday responsibilities, you will:**
• - Develop high-quality software design
• - Identify, prioritize, and execute tasks in the software development life cycle
• - Develop tools and applications with clean, maintainable, and secure code and guide the rest of the team in doing so
• - Demonstrate excellent RDBMS skills (design, implementation, migration) working with large amounts of data in production systems
• - Conduct code reviews and provide feedback to help the team keep the code quality high
• - Review and debug code
• - Implement REST APIs
• - Deploy and maintain dev & production systems
• - Apply best practices in software engineering
• - Write Unit tests

Senior Software Engineer, Java

Analyst

• Maintain the integrated portfolio dashboard across all major initiatives.
• Ensure milestone confidence definitions are applied consistently across verticals.
• Reconcile data across tools (Jira, planning systems, BI platforms).
• Track schedule variance and delivery trend patterns.
• Reduce manual correction and narrative interpretation in reporting cycles.
• Consolidate team-level capacity into a portfolio-level capacity view.
• Track utilisation, saturation thresholds and structural overload indicators.
• Analyse estimation accuracy and identify recurring bias patterns.
• Support scenario modelling and trade-off discussions with structured data inputs.
• Help embed separation between sizing, estimation and capacity planning through clear reporting.
• Consolidate portfolio-level RAID themes across delivery verticals.
• Track risk ageing and mitigation follow-through.
• Highlight recurring cross-team dependency friction.
• Surface systemic risk patterns rather than isolated incidents.
• Support implementation and ongoing configuration of the portfolio toolset.
• Ensure status definitions and reporting standards are applied consistently.
• Improve automation and reduce manual reporting overhead.
• Support structured Front Door tracking and demand visibility.
• Identify trends in delivery predictability across teams.
• Highlight performance patterns that require attention.
• Provide structured data insight to support portfolio governance evolution.
• Shift conversations from anecdotal reporting to evidence-based insight.
• Portfolio data across major initiatives is reconciled and trusted.
• Key delivery metrics are consistently available and visible across teams.
• Capacity data is consolidated and accurately reflects current utilisation.
• The portfolio toolset is configured, stable and actively used.
• Reporting cycles require minimal manual correction or rework.
• Heads of Delivery have timely, accurate analysis to support day-to-day decisions.

Portfolio Analyst

SDET

• Close collaboration with Product owners, QAs, Dev, DevOps, and Security teams to ensure Test Automation best practices, code quality, increase the testability of code, and improve the quality of the deliverables by continuous regression testing.
• Ticket analysis and test planning
• Development of automation tests based on ACs
• Support/Implement the deployment process of test environments and be able to debug them
• Conduct code reviews following best engineering practices and coding standards
• Execute complete software development life cycle (SDLC)
• Responsible for the CI/CD (build, test, deploy)
• Set up and maintain test automation framework & infrastructure
• Assist in the setup & maintenance of the security pipelines (checkmark, nowsecure, etc)
• Responsible for generating Automated Test Reports
• Implement supporting scripts and tools for Developers and QA Engineers

Senior Data Engineer

Senior Software Engineer, Java

Portfolio Analyst

Senior Software Engineer in Test – Frontend