Igbaffiliate

Igbaffiliate is seeking a Senior Software Engineer to shape the technical foundation of a high-growth product in competitive gaming. You'll design and implement backend architecture for real-time tournaments, ensuring systems are scalable and secure. The role calls for collaboration with cross-functional teams and offers a product engineering mindset to translate requirements into impactful features. Join Igbaffiliate to thrive in a fast-paced, growth-oriented environment with diverse perspectives.

Staff Software Engineer - Ruby - About Legend At Legend, we're building next-level player experiences. With 20+ years of proven success we're the world's leading Sports and Gaming marketing company. Our people are our edge. 600+ sharp, ambitious Legends across 22+ countries who move fast, learn quickly and win together. Here growth isn't a perk, it's the standard. You'll stretch, level up and carve out a career as bold as the products we build. We celebrate wins and create experiences that people talk about for years - for our players & for each other. If you're ready to shape the future of player experience and enjoy the ride while you do it, this is where you'll thrive. The Role Legend is hiring a Senior Software Engineer reporting directly to our Senior Engineering Manager. This is an opportunity to shape the technical foundation of a high-growth product in the competitive gaming space - a market scaling rapidly worldwide. You'll help design and implement the backend and platform architecture that powers real-time tournaments, delivering scalable, secure, and high-performing systems players rely on. You'll collaborate closely with engineers, product managers, and designers to deliver high-quality solutions while applying modern practices like Domain-Driven Design, SOLID, and GRASP. If you thrive in fast-paced environments, enjoy tackling tough scaling challenges, and want to shape the future of competitive gaming, this is your chance to make your mark. In this role, we value diverse perspectives and encourage you to apply even if you don't meet every qualification listed. Your Impact Design and implement application architecture that is scalable, maintainable, observable, and high-performing. Conduct code reviews, review architecture, and contribute to engineering best practices. Identify and optimise performance bottlenecks across systems. Collaborate closely with cross-functional teams to deliver impactful features. Ensure application security, implementing safeguards against vulnerabilities. What You'll Bring Strong grounding in Domain-Driven Design, API-first architecture, and software design patterns. Experience with Pub/Sub, websockets, and Server-Sent Events (SSE). A strong product engineering mindset - able to translate requirements into technical designs and ship features end-to-end. The Interview Process Initial Chat with Talent Partner (45 mins via Zoom) Interview with our Technical team (1 hour video via Zoom) Technical Interview with coding exercise with our Technical team (1.5 hour video via Zoom or 2x 1hr interview via Zoom depending on your preference) Interview with our Non-Technical team (1 hour video via Zoom) Final Interview with our Technical Leadership Team (1 hour video via Zoom) Why Legend Super smart colleagues to work alongside and learn from. Tailored flexibility for your work-life balance. Annual discretionary bonus to reward your efforts. Paid annual leave PLUS a well-deserved break to recharge during the festive season! Our offices close between Christmas and New Year's - no need to dip into your allowance. Exciting global Legend events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead! Unlock your full potential by joining the Legend team. To support you on this journey, we provide an extensive array of benefits and perks, as outlined in our global offerings above. For country-specific benefits please reach out to your Talent Partner. Additional Information Legend is an Equal Opportunity Employer, but that's just the start. We believe different perspectives help us grow and achieve more. That's why we're dedicated to hiring and developing the most talented and diverse team- which includes individuals with different backgrounds, abilities, identities and experiences. If you require any reasonable adjustments throughout your application process, please speak to your Talent Partner or contact the team , and we'll do all we can to support you.

Data Analyst - Description Spotlight Sports Group is a global media and technology company specialising in content and data within sports betting, horse racing and fantasy sports. With over 400 employees, the group operates multiple award-winning brands, including Racing Post, the world's largest horse racing affiliate, Pickswise, myracing and Free Super Tips. We partner with leading operators across the betting industry to produce and build multilingual, best-in class digital products and content to engage and educate customers. ICS digital, an international marketing agency including ICS translate, also operates under the group. This Data Analyst role sits within the Data Intelligence Unit (DIU) and is focused on insight generation, analytical problem solving, and decision support, not just reporting. The role is responsible for improving the organisation's understanding of customers, behaviours, and performance drivers by moving beyond surface level trends to explain underlying causes, quantify impact, and support evidence based decision making across Content, Commercial, CRM, Product, and Leadership teams. This role is particularly well suited to an analyst who enjoys working with complex behavioural data, thrives in ambiguous problem spaces, and wants to influence strategy through rigorous analysis. An interest in sport and betting markets is helpful for context, but analytical curiosity and critical thinking are essential. This role is a hybrid role based in our Central London Office near Southbank 3 days a week, with 2 days from home. Key Accountabilities Insight Generation: Go beyond BAU reporting to proactively identify trends, patterns, and opportunities in customer behaviour, lifecycle progression, segmentation, and product engagement, linking insight to commercial and strategic outcomes. Stakeholder Collaboration: Work closely with squads, product teams, and leadership to understand challenges, shape hypotheses, and deliver insights that influence strategic decisions. Data Storytelling: Translate complex datasets and analysis into clear, compelling narratives that drive action, ensuring insights are accessible and meaningful for stakeholders with varying levels of data fluency. Impact Measurement: Develop and implement robust measurement frameworks, including test and learn approaches, to evaluate the success of business changes and ensure decisions are evidence based and continuously refined. Championing a Data Driven Culture: Advocate for data as a strategic asset, challenging assumptions and embedding insight led decision making across Content, Product, CRM, and Commercial teams. Automation for Efficiency: Streamline and automate recurring reporting and analysis, maximising time spent on high value insight generation rather than manual data preparation. Requirements Strong SQL skills, with the ability to query, join, and manipulate large and complex datasets Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy) Ability to understand new datasets quickly and extract meaningful insights. Experience working with large, complex datasets across multiple sources. Proficiency in data visualisation tools (Looker Studio), with a focus on creating actionable insights rather than static reporting. Hands on experience with product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel). Ability to work independently, defining topics for analysis and driving them to completion. Strong communication skills, with the confidence to present findings and challenge assumptions. Background in Mathematics, Statistics, Data Science, or a related quantitative discipline. We offer a range of well being initiatives, including private medical insurance, excellent parental leave, a working globally policy, mental health support, assistance programs, and social gatherings. We also provide a pension scheme and various other benefit schemes. Plus, we all get our birthdays off work and enjoy 25 days of holiday per year. We've also got you covered with life assurance and exclusive perks like the Star card and our Step Further Awards (our employee recognition program) to recognise your dedication. For those working via the hybrid model (in the office and at home) we've made commuting easier with our Season Ticket Loan and Cycle to Work Scheme. You can also take advantage of complimentary access to our Racing Post Members Club, complete with an Ultimate Membership. We believe in making a positive impact beyond the workplace, and you'll have the chance to volunteer two days per year with our charity partner.

A global media and technology company in London is looking for a Data Analyst to join their Data Intelligence Unit. This role involves generating insights from complex behavioural data, collaborating with teams to influence strategy, and promoting a data-driven culture. Candidates should have strong SQL and Python skills, experience with data visualisation tools, and a background in a quantitative discipline. The role is hybrid, with a mix of office and home working.

Igbaffiliate is looking for a Senior Full-Stack Developer to join its engineering team. You will work on their affiliate marketing platform, managing relationships and financial data. Your role involves backend processing and developing React-based frontends. We offer a competitive salary in a collaborative and fast-paced environment, with opportunities to work on scalable products in the iGaming industry. This role requires strong skills in Java, React, and cloud platforms, along with the ability to work independently.

Igbaffiliate is searching for a Data Engineer (Integration) to join their Data Platform team remotely throughout Europe. The role involves building, maintaining, and scaling integrations between external platforms and internal systems, reporting directly to the Data Engineering Lead. Applicants should have extensive experience in backend services, AWS server-less infrastructure, and API integrations. The position emphasizes collaboration and offers a flexible work environment focused on innovation and a decent work-life balance.

Senior Data Analyst About Traffic Label Traffic Label is a fast-growing, data-driven technology company operating in the iGaming and affiliate marketing space, building scalable products focused on performance, analytics, and automation across global markets. What we're building We're building a Customer Data Platform: one unified player profile across our group of brands. The platform should help the business: Improve acquisition. Understand who actually converts, and why others don' Increase conversion. Replace generic flows with journeys built for the specific player in front of us. Segment players properly. Who's a high-value player? Who's at risk of leaving? Who's a VIP? Reactivate before churn. Spot players who are about to leave and bring them back with offers that match what they actually want. Snowflake (with Snowpipe and Cortex Analyst LLM agent). dbt, Python. Airflow (Astronomer), AWS (S3, Lambda), Terraform, GitHub Actions. Omni BI on top. Reverse ETL into marketing platforms. We're early in the build, and the person we hire helps shape the foundation. Role Overview You sit between the business (Product Owner, stakeholders) and the engineering team. About 30% of your time is practical data work: validating that CDP capabilities behave as specified, exploring data before specs are written, testing hypotheses for new capabilities, building shared gold layer models that consumer teams use, and helping those teams understand what data is available. It is not business reporting or analytics built for individual brands. The other 70% is Systems Analysis: turning what you find into specs engineers can build from, owning data quality from symptom to root cause, raising what isn't right before it ships, and shaping the semantic layer so other business lines can find and trust the data. Four things define the systems analysis side: Turn business intent into specs that engineers can build from. Talk to stakeholders, figure out what they actually need, and write it down. Each spec covers source schema, target model, transformation logic, business glossary, schedule, data quality checks, consumer, and use case. Stay reachable through development. Engineers will have questions. Find and fix data quality problems at the root, alongside the engineering function. Trace lineage, identify the cause, work with the data source owner on the fix, check downstream impact, and close the loop. Confirm what's delivered does what we said it would. Validate against the spec you wrote. When the data isn't right, you raise it before it ships. Make data usable beyond the team that asked for it. Contribute to the semantic layer, data descriptions, and shared definitions so other business lines can find what they need, understand what it means, and trust it without going through you each time. You work on the Data Platform layer: CDP build, identity resolution, data quality, semantic definitions, and governance. Business analytics on top of the platform, such as dashboards and performance reports for specific brands, is produced by analyst teams aligned to those brands. Your job is to make sure those teams can do theirs: trustworthy data, clear definitions, fast issue resolution. The team You sit within the Data Platform alongside: A Product Owner who sets the roadmap and business priorities. The Data Engineering function. Your manager (Data Engineering Lead) and the engineers building the platform. Embedded QA function. Owns automated validation. Shared DevOps across the wider organisation. Where you'll start Identity resolution. Deterministic matching is already running in our MDM across five data sources. You extend coverage to the remaining sources and validate match quality at scale. The harder cases are future scope: hashed identifiers without keys, duplicates across sources, device and behaviour signals. They start when we add dedicated ML engineering capacity, with no committed timeline yet. You'll own the spec and acceptance for that work when it begins. Skills & Experience SQL. Expert level. Window functions, complex joins, and root cause investigation on large datasets. dbt. Practical experience. You can write models, write tests, and debug them. Python. Comfortable for ad hoc analysis, scripting, and data manipulation. Confident across the modern data stack. You investigate problems yourself instead of waiting for DE, and you can explain the root cause to the business in plain language. Medallion or layered data architectures. You've written specifications that engineers built from. You've owned a data quality problem from "something looks off" to "fixed at source". You can talk to business stakeholders and a backend engineer in the same hour without losing either of them. Background in iGaming, affiliate marketing, SaaS, or other high-volume digital businesses. Experience unifying customer or user profiles across sources, sometimes called Customer 360 or Single Customer View. Angles: identity matching, semantic modelling, etc. What We Offer Opportunity to work on scalable, high-impact products in a growing iGaming business Collaborative and fast-paced engineering environment Exposure to modern technologies and architecture Competitive salary and performance-based incentives Flexible working environment and supportive team culture

Igbaffiliate is seeking a Senior Data Analyst to contribute to their Customer Data Platform, ensuring data integrity and supporting analytics teams. This role combines practical data work and systematic analysis, helping improve acquisition and conversion strategies. The ideal candidate will have a strong background in SQL, Python, and data quality management, alongside experience in the iGaming or affiliate marketing sectors. The position offers a flexible work environment and a collaborative team culture.

Igbaffiliate is looking for a Senior Data Engineer to join their fully remote team in the UK. The role focuses on building ingestion pipelines for multiple casino partners, enhancing their Customer Data Platform, and ensuring seamless API integrations. With a strong emphasis on best practices in ETL and Reverse ETL, this position requires at least 6 years of experience, advanced Python skills, and deep knowledge of Airflow and dbt. The company offers a flexible work environment, promoting work-life balance and innovation.

Senior Product Manager - Engagement Products - Paysafe is a global payments platform powering the experience economy,witha strong focus on the iGaming, video gaming,e-commerce, online trading, retail,traveland hospitality sectors. With 30 years of expertise in payment technology, Paysafe helps businesses and consumers lift every experience through seamless, secure payment solutions, including card payments, digital wallets such as Skrill, eCash solutions like PaysafeCard, and a suite of local payment methods. With approximately 2,900 employees across12countriesand annualized transactional volume of $167 billion in 2025, Paysafe connects people and businesses worldwide through innovative digital payment experiences. Overview: We are seeking a Senior Product Manager to lead the development of engagement-driven products that power connected, multi-participant commerce environments. This role will focus on creating seamless, high-frequency experiences that connect consumers, merchants, and partners through a unified platform. You will play a critical role in driving user adoption, retention, and transaction growth by building and scaling capabilities across wallets, acquiring, loyalty, offers, and partner integrations. These solutions will enable dynamic, real-world and digital experiences where users can discover, transact, and engage within a single ecosystem. Responsibilities: Define and execute product strategy for engagement products that drive user adoption, retention, and transaction frequency Design and scale consumer engagement experiences, including wallet interactions, in-app journeys, and contextual commerce Build and optimize loyalty, rewards, offers, and gamification capabilities to increase repeat usage and share of wallet Develop merchant and partner engagement models, enabling participation through promotions, advertising, and value-added services Identify and deliver opportunities to connect physical and digital experiences (e.g., in-location ordering, partner integrations, event-based engagement) Own the end-to-end product lifecycle from concept through launch and continuous optimization Partner with Engineering, Design, and Partnerships to deliver scalable, high-impact solutions Leverage data and experimentation to improve engagement metrics, conversion, and monetization Support monetization strategies tied to engagement, including affiliate models, sponsored offers, and partner-driven revenue streams Ensure compliance with regulatory, privacy, and data usage requirements across markets Qualifications 5-8+ years of product management experience, with a focus on consumer engagement, merchant engagement, growth, or digital platforms Experience building or managing wallets, loyalty programs, marketplaces, or ecosystem-based products Strong understanding of behavioral design, incentives, and engagement mechanics Experience with data-driven product development, including experimentation and performance optimization Familiarity with multi-sided platforms and integrating third-party partners Ability to translate complex ecosystems into simple, intuitive user experiences Strong cross-functional leadership and stakeholder management skills Experience in fintech, payments, or commerce platforms is a plus We offer in return: The opportunity to write the history of a leading and growing multinational company Tailor-made training and ongoing development to help you enhance your skills in the field of online payments Multiple career progression opportunities in a dynamic in-house business Environment where product expertise, professional and personal commitment are rewarded Competitive remuneration and social benefits package Fun and collaborative working atmosphere Flexible working model - we encourage our employees to embrace our flexible working approach. You will be expected to work from home and spend an average of three days a week at our office as part of our hybrid work model Are you ready to take your career to the next level? Join our team that is inspired by a unified vision and propelled by passion. Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type with regard to ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments please let us know. We will be happy to help and look forward to hearing from you.