B2Spin Limited

Data Engineer

• Use Dataform to build medallion data architecture while optimizing BigQuery and ClickHouse models
• Develop batch and real-time data pipelines on our GCP platform
• Orchestrate Airflow DAG pipelines for data imports and exports, with monitoring and alerting that safeguard data integrity
• Expose data to other teams through well-designed APIs, supported by CI/CD pipelines for automated deployments
• Uphold GDPR/CCPA compliance and maintain data governance standards across platforms

Recruitment

• You'll own day-to-day administration and hygiene across multiple ATS platforms (including Ashby).
• You'll grow into the team's Ashby subject matter expert.
• You'll manage and optimise the global candidate database, ensuring GDPR compliance and strong data quality.
• You'll produce regular TA reports covering pipeline activity, time-to-hire, and source effectiveness.
• You'll keep job advert templates, recruitment trackers, and shared documentation accurate and on-brand.
• You'll support TA projects end-to-end.

Recruitment Coordinator – Administrator

Product Manager

• Own the end-to-end delivery of engagement tools and mini games, from concept through launch, including mechanic design, reward logic, CMS configuration, acceptance criteria, and edge case management
• Partner with Commercial and CRM teams to design promotional mechanics, reward structures, progression hooks, and purchase-triggered experiences that drive player engagement and revenue
• Translate commercial ideas into detailed product specifications that enable Engineering to deliver with confidence
• Prioritise features based on their impact on player conversion, retention, engagement, and monetisation
• Define success metrics before launch, analyse feature performance, and use experimentation and A/B testing to continuously optimise engagement mechanics
• Ensure Engineering and CRM teams remain aligned on delivery timelines, campaign requirements, and technical constraints
• Champion AI-enhanced ways of working, using AI tools to accelerate research, specification writing, analysis, and product delivery

Product Owner

Product Designer

• Own the quality and consistency of design outputs
• Build brand systems that are well utilized
• Create modular templates and briefing standards for designers
• Put structure around AI usage for on-brand results
• Define metrics for on-brand quality and track quality signals
• Keep improving team processes and tool usage
• Provide regular feedback and support designers

Design Team Lead

Data Analyst

• Lead our payment and fraud analytics strategy, driving data-driven decisions that optimize financial performance and protect our gaming ecosystem
• Define and execute the vision for payment analytics, moving beyond standard reporting to predictive insights that improve success rates and conversions
• Analyze payment data using SQL and create compelling dashboards with Tableau, PowerBI, or Looker to inform strategic decisions
• Implement strategies to reduce payment declines, recover failed transactions, and identify conversion bottlenecks
• Lead chargeback mitigation efforts by analyzing trends and implementing automated triggers to protect merchant accounts
• Develop detection logic to identify bonus abuse, multi-accounting patterns, and synthetic identities
• Collaborate with cross-functional teams to build risk-scoring models that balance security with player experience

Payment & Fraud Analytics Manager

Full-stack Engineer

• Write well-designed, testable, and scalable code that drives our product forward
• Take ownership of the full development cycle from sprint planning through to release
• Collaborate seamlessly with dev teams and product owners to deliver exceptional results
• Build custom native modules and integrate third-party services to enhance user experiences
• Configure push notifications, deep links, and universal links for seamless user journeys
• Contribute beyond the frontend scope when needed, thinking end-to-end across the stack

Tech Lead, React Native

Software Engineer

Senior React Native Engineer

QA Engineer

• QA tasks estimation
• Requirements and specifications testing with AI-supported validation
• Test cases, suites and checklists design and review leveraging AI capabilities
• Integration and system testing with intelligent edge case detection
• Bug reporting
• Creation of QA artifacts and documentation supported by AI tools
• Production incidents monitoring and troubleshooting with intelligent log analysis
• Participate in automation scope definition
• Automation tests running and results analysing