SiGMA World

Solutions Engineer

• Develop end-to-end solution architectures for key initiatives, ensuring designs are secure, scalable, and aligned with enterprise standards.
• Produce architecture artefacts (HLDs, integration diagrams, data flows, non-functional requirements).
• Ensure interoperability and performance across platforms, integrations, and digital products.
• Work with delivery teams throughout the SDLC to guide implementation and validate design adherence.
• Apply enterprise architecture principles, policies, and technology standards within solution designs to ensure consistency and long-term maintainability.
• Identify technical risks, design gaps, and dependencies early, proposing mitigation strategies.
• Collaborate with data science and platform teams to design solutions that incorporate AI capabilities such as recommendations, predictive analytics, and automation.
• Ensure AI-enabled solutions adhere to ethical, regulatory, and privacy requirements.
• Support integration and lifecycle requirements for model deployment and monitoring.
• Design data flows and integration patterns across internal systems, third-party platforms, and event-specific technologies.
• Ensure solutions support high-quality, reliable, and governable data pipelines suitable for analytics and AI use cases.
• Collaborate with DataOps and engineering teams to implement scalable, real-time data architectures.
• Ensure solution designs comply with security standards, privacy regulations, and responsible-gaming requirements.
• Embed secure-by-design principles and work closely with security teams to validate controls.
• Work closely with business stakeholders to understand requirements and translate them into actionable solution designs.
• Provide clear technical guidance to engineering, product, and delivery teams.
• Communicate architectural decisions, trade-offs, and solution options to both technical and non-technical audiences.

Solution Architect

DevOps Engineer

• Ensures the availability, performance, and resilience of production systems supporting live events and iGaming platforms.
• Builds and maintain monitoring, alerting, and observability systems to detect issues before they impact users.
• Conducts capacity planning, load testing, and performance tuning to support traffic spikes during major events.
• Leads incident response, root‑cause analysis, and post‑mortem processes.
• Develops automation for deployments, scaling, configuration management, and routine operational tasks.
• Implements Infrastructure‑as‑Code (IaC) to standardise and automate environment provisioning.
• Improves CI/CD pipelines to ensure fast, reliable, and repeatable releases.
• Reduces manual toil through scripting, tooling, and process optimisation.
• Introduces AI‑powered tools to enhance reliability and operational efficiency.
• Supports the deployment and scaling of AI‑enabled products and services across event and iGaming platforms.
• Collaborates with AI and data teams to ensure infrastructure supports model training, inference, and real‑time AI workloads.
• Manages cloud infrastructure (compute, storage, networking) with a focus on scalability and cost efficiency.
• Implements best practices for security, resilience, and compliance across cloud environments.
• Ensures systems are event‑ready, with robust failover, redundancy, and real‑time monitoring.
• Supports event operations teams with technical readiness, live‑event monitoring, and rapid issue resolution.
• Builds systems capable of handling unpredictable traffic patterns common in iGaming and live events.
• Implements secure‑by‑design principles across infrastructure and operations.
• Ensures compliance with data‑privacy regulations and responsible‑gaming requirements where applicable.
• Identifies and mitigates operational risks, vulnerabilities, and single points of failure.
• Works closely with engineering, product, data, and platform teams to ensure reliability is embedded throughout the development lifecycle.
• Provides guidance on best practices for performance, scalability, and operational readiness.
• Communicates system health, risks, and improvements to stakeholders.

Site Reliability Engineer – SRE

Product Manager

• Owns the mobile product vision, roadmap, and technical direction across iOS and Android.
• Defines mobile capabilities that support event engagement, exhibitor value, and iGaming‑specific user journeys.
• Ensures mobile features align with business goals, technical constraints, and long‑term platform evolution.
• Translates business needs into detailed technical user stories, acceptance criteria, and architectural considerations.
• Prioritises the mobile backlog based on impact, feasibility, and strategic value.
• Works closely with mobile engineers to ensure clarity, feasibility, and technical excellence.
• Supports API design, data flows, and integration requirements for mobile features.
• Leads the introduction of AI tooling into mobile workflows, including: AI‑assisted prototyping and UX testing automated QA and performance diagnostics intelligent analytics and reporting.
• Drives the development of AI‑powered mobile features such as: personalized event recommendations AI‑driven matchmaking between attendees and exhibitors automated content summaries, translations, and highlights conversational interfaces and chat‑based assistance.
• Ensures AI features follow responsible‑AI principles and comply with data‑privacy regulations.
• Develops mobile features tailored to live events and iGaming audiences, including: real‑time schedules, alerts, and session interactions interactive maps and navigation exhibitor dashboards and engagement tools live content feeds and gamified experiences.
• Ensures mobile apps remain stable, performant, and responsive during high‑traffic event periods.
• Collaborates with engineering, UX/UI, data, and event operations teams to deliver high‑quality mobile releases.
• Leads sprint planning, backlog refinement, and cross‑team coordination.
• Ensures mobile features are delivered on time, within scope, and aligned with quality standards.
• Supports go‑to‑market planning with marketing and commercial teams.
• Ensures mobile features follow secure‑by‑design principles.
• Works with security and data teams to ensure compliance with privacy, regulatory, and responsible‑gaming requirements.
• Acts as the primary point of contact for mobile product initiatives.
• Communicates product strategy, progress, risks, and trade‑offs to leadership and cross‑functional teams.
• Builds strong relationships with internal and external stakeholders, including exhibitors and partners.

Technical Mobile Product Owner

Machine Learning Engineer

• Builds, trains, optimises, and deploy machine learning models for use cases such as: personalised event recommendations, attendee behaviour prediction, exhibitor and sponsor performance forecasting, churn and retention modelling, anomaly detection for event operations
• Implements model monitoring, retraining pipelines, and performance optimisation.
• Introduces and integrates AI tooling that enhances engineering and operational workflows, including: automated model evaluation, AI‑assisted feature engineering, intelligent monitoring and diagnostics
• Works with platform and data teams to ensure infrastructure supports scalable ML workloads.
• Contributes to the development of AI‑powered internal tools and customer‑facing features.
• Collaborates with data engineers to build and maintain robust data pipelines for model training and inference.
• Ensures data quality, consistency, and availability across event systems, CRM platforms, mobile apps, and iGaming‑related tools.
• Develops ML solutions tailored to the unique dynamics of live events and iGaming audiences.
• Supports real‑time inference systems that handle high‑traffic spikes during major events.
• Builds models that enhance attendee engagement, exhibitor value, and partner insights.
• Ensures ML systems comply with data‑privacy regulations and responsible‑gaming requirements where applicable.
• Implements responsible‑AI practices, including bias detection, explainability, and ethical model usage.
• Collaborates with security teams to embed secure‑by‑design principles into ML workflows.
• Works closely with data scientists, data engineers, product managers, and platform teams to deliver end‑to‑end AI solutions.
• Translates business requirements into technical ML specifications.
• Communicates model performance, insights, and trade‑offs to technical and non‑technical stakeholders.

Data Scientist

• Analyses attendee, exhibitor, and event performance data to uncover trends, behaviours, and opportunities.
• Builds dashboards, reports, and visualisations that support decision‑making across the organisation.
• Conducts exploratory data analysis to identify patterns and inform product and business strategy.
• Develops, trains, and deploys machine learning models for use cases such as: attendee behaviour prediction, personalised event recommendations, exhibitor and sponsor performance forecasting, churn and retention modelling, anomaly detection for operational insights.
• Monitors model performance and continuously improve accuracy, reliability, and scalability.
• Supports the introduction of AI tooling across teams, including: automated analytics and reporting, AI‑assisted content generation, intelligent customer support tools, workflow automation.
• Contributes to the development of AI‑powered products and services such as: personalised event journeys, AI‑driven matchmaking between attendees and exhibitors, predictive event insights for partners and sponsors.
• Ensures AI solutions follow ethical, transparent, and responsible‑AI principles.
• Collaborates with DataOps and engineering teams to build and maintain reliable data pipelines.
• Ensures data quality, consistency, and availability for analytics and AI use cases.
• Supports the integration of new data sources, including event systems, CRM platforms, and third‑party tools.
• Develops insights that support the unique dynamics of live events and iGaming audiences.
• Analyzes event engagement, session attendance, exhibitor interactions, and digital behaviour.
• Provides data‑driven recommendations to improve event design, marketing, and product features.
• Works closely with product managers, designers, marketers, and event teams to translate business needs into analytical solutions.
• Communicates complex findings in clear, actionable ways to both technical and non‑technical stakeholders.
• Contributes to a culture of data literacy and evidence‑based decision‑making across the organisation.

Data Engineer

• Designs, builds, and maintains scalable ETL/ELT pipelines to support analytics, reporting, and machine learning workloads.
• Integrates data from event platforms, CRM systems, mobile apps, exhibitor tools, and third‑party iGaming systems.
• Develops and maintain data models, schemas, and storage solutions that support business intelligence and AI use cases.
• Introduces AI‑assisted data engineering tools, such as automated pipeline optimisation, intelligent anomaly detection, AI‑driven data quality checks.
• Partners with product, engineering, marketing, and event operations teams to understand data needs and deliver scalable solutions.

AI Engineer

• Designs, builds, and deploys AI‑powered features across event platforms, mobile apps, exhibitor tools, and iGaming‑related systems.
• Implements AI models for use cases such as: personalised event recommendations, predictive attendee behaviour, automated content generation, intelligent matchmaking between attendees and exhibitors, real‑time event insights and anomaly detection.
• Integrates AI capabilities into existing systems using APIs, cloud services, and custom pipelines.
• Introduces AI‑assisted tools to improve productivity across engineering, marketing, operations, and customer support.
• Implements automation solutions such as: AI‑driven workflow optimisation, automated tagging, summarisation, and content enhancement, intelligent customer support chatbots, AI‑assisted QA and testing tools.
• Evaluates emerging AI platforms and tools to ensure the organisation stays ahead of industry trends.
• Collaborates with data engineers and data scientists to prepare datasets for training, validation, and inference.
• Builds and maintains pipelines that support real‑time and batch AI workloads.
• Ensures data quality, consistency, and compliance with privacy and regulatory requirements.
• Develops AI solutions tailored to the unique dynamics of live events and iGaming audiences.
• Supports real‑time inference systems capable of handling high‑traffic spikes during major events.
• Builds AI features that enhance attendee engagement, exhibitor value, and partner insights.
• Ensures AI systems follow responsible‑AI principles, including fairness, transparency, and explainability.
• Implements secure‑by‑design practices for all AI components.
• Ensures compliance with data‑privacy regulations and responsible‑gaming requirements where applicable.
• Works closely with product managers, designers, engineers, and event teams to translate business needs into AI‑powered solutions.
• Communicates technical concepts clearly to non‑technical stakeholders.
• Supports internal teams in adopting AI tools and understanding AI‑driven insights.

Software Engineer

• Designs, builds, and maintains cross‑platform mobile applications using frameworks such as React Native, Flutter, or similar technologies.
• Implements intuitive, responsive, and accessible mobile interfaces that enhance attendee, exhibitor, and partner experiences.
• Ensures mobile apps are optimised for performance, reliability, and scalability during high‑traffic event periods.
• Develops clean, maintainable, and testable code following industry best practices.
• Contributes to mobile architecture decisions, component libraries, and shared design systems.
• Implements automated testing, CI/CD pipelines, and monitoring tools to ensure high‑quality releases.
• Integrates AI‑powered capabilities into mobile apps, such as: personalised event recommendations, intelligent search and content discovery, AI‑driven matchmaking between attendees and exhibitors, automated content summaries, translations, or highlights, conversational interfaces and chat‑based assistance.
• Supports the introduction of AI tooling to improve mobile development workflows, including automated testing, code generation, and performance diagnostics.
• Builds features tailored to live events and iGaming audiences, including: real‑time schedules and notifications, interactive maps and navigation, exhibitor and sponsor engagement tools, live content feeds and session interactions.
• Ensures mobile apps remain stable and responsive during peak usage at major events.
• Implements secure‑by‑design principles across all mobile features.
• Ensures compliance with data‑privacy regulations and responsible‑gaming requirements where applicable.
• Collaborates with backend and security teams to ensure safe data handling and API integration.
• Works closely with product managers, UX/UI designers, backend engineers, and data teams to deliver cohesive mobile experiences.
• Participates in sprint planning, technical discussions, and product roadmap sessions.
• Provides technical guidance and mentorship to junior engineers when needed.

Cross Platform Mobile Engineer

Database Administrator

• Installs, configures, and maintains relational and non‑relational database systems across production, staging, and development environments.
• Monitors database performance, identify bottlenecks, and implement tuning strategies.
• Manages database backups, recovery procedures, and disaster‑recovery planning.
• Implements and enforces database security policies, access controls, and encryption standards.
• Ensures compliance with data‑privacy regulations and responsible‑gaming requirements where applicable.
• Ensures databases can handle high‑traffic spikes during major events, tournaments, and promotional campaigns.
• Works closely with engineering, product, data, and platform teams to support database needs across the organisation.

Database Administrator, DBA

Technical Product Manager

• Owns and maintains the technical product backlog, ensuring clarity, prioritisation, and alignment with business objectives.
• Translates business requirements into detailed technical user stories and acceptance criteria.
• Works closely with engineering teams to ensure feasibility, scalability, and technical excellence.
• Collaborates with architects, engineers, and platform teams to ensure solutions align with architectural standards.
• Leads the introduction of AI tooling to improve engineering, product, and operational workflows.
• Ensures AI features follow responsible‑AI principles and comply with data‑privacy requirements.
• Acts as the primary liaison between engineering teams and business stakeholders.
• Develops technical capabilities tailored to live events and iGaming audiences.
• Uses analytics, telemetry, and user feedback to inform prioritisation and product improvements.
• Communicates technical product updates, timelines, and risks to executives and cross‑functional teams.

Technical Product Owner

Account Manager

• Design, curate, and deliver food and wine experience across exhibitions
• Secure Michelin-level chefs and elite regional producers
• Act as point of authority for culinary partnerships
• Collaborate with Sales and Sponsorship teams
• Maintain industry relationships and scout new talent