Quality Assurance Engineer - Remote Europe

SEON Specialist

WhiteTech

At WhiteTech, we empower businesses in the financial ecosystem with cutting-edge white-label and SAAS solutions. Our comprehensive suite of tools is tailored for EMI, PSP, e-commerce, and open banking platforms. With WhiteTech, clients gain access to a platform designed for flexibility, scalability, and seamless integration. Our mission is to help businesses unlock their full potential in a rapidly evolving financial landscape. Whether scaling your PSP, enhancing your EMI services, or diving into open banking, WhiteTech is your partner for innovation and growth. We are a remote-first technology company and welcome applications from candidates across Europe, including the EEA, the UK, Switzerland, and other non-EEA European countries such as Ukraine, Moldova, Georgia, Armenia, Montenegro, Turkey, and the Western Balkans. We also consider applicants from different locations who can work within Central European Time (CET). At WhiteTech, we empower businesses in the financial ecosystem with cutting-edge white-label and SAAS solutions. Our comprehensive suite of tools is tailored for EMI, PSP, e-commerce, and open banking platforms. With WhiteTech, clients gain access to a platform designed for flexibility, scalability, and seamless integration. Our mission is to help businesses unlock their full potential in a rapidly evolving financial landscape. Whether scaling your PSP, enhancing your EMI services, or diving into open banking, WhiteTech is your partner for innovation and growth. We are a remote-first technology company and welcome applications from candidates across Europe, including the EEA, the UK, Switzerland, and other non-EEA European countries such as Ukraine, Moldova, Georgia, Armenia, Montenegro, Turkey, and the Western Balkans. We also consider applicants from different locations who can work within Central European Time (CET). We are looking for a specialist with deep expertise in SEON (Fraud / Risk) who can operate at the intersection of product, analytics, and quality assurance. This role goes beyond simply working with an antifraud tool - it requires understanding SEON as a core component of the product’s risk decisioning framework. This position is ideal for a candidate who is equally comfortable navigating business processes, system logic, and quality assurance, and who can contribute to antifraud solutions across the entire lifecycle. KEY RESPONSIBILITIES Working with SEON as a core antifraud solution: * Develop a deep understanding of SEON capabilities: signals, scoring, rules, device intelligence, and data enrichment * Contribute to the design and evolution of antifraud solutions * Ensure correct integration and effective use of SEON within the product ANALYSIS, DESIGN, AND PROCESS DEFINITION * Gather, structure, and document business and system requirements * Define and document end-to-end flows, including: * onboarding / signup * authentication / login * payment and payout flows * KYC / KYB / verification processes * sensitive user actions * Break down antifraud logic into: * risk signals * rules and scoring models * decision flows * manual review and case management processes QUALITY ASSURANCE AND TESTING * Validate antifraud logic and scenarios * Test SEON integrations (APIs, webhooks, data flows) * Verify: * scoring accuracy * rule execution * handling of edge cases * Participate in regression and integration testing * Analyze and troubleshoot defects within fraud-related flows PRODUCT OWNERSHIP CONTRIBUTION * Contribute to the antifraud and risk strategy * Balance risk control with user experience * Prioritize initiatives within the fraud/risk domain * Work with key metrics (fraud rate, false positives, approval rate) * Collaborate with cross-functional stakeholders (product, risk, compliance, engineering) INTEGRATIONS AND SYSTEM ARCHITECTURE * Define and oversee integrations with: * SEON * KYC / AML providers * payment systems * other third-party services * Understand and work with: * API contracts * event-driven architectures * data flows ANALYSIS AND OPTIMIZATION * Identify weaknesses in fraud and risk processes * Propose improvements to decision-making logic * Optimize rules and scoring models * Reduce fraud risk while maintaining conversion rates WHAT WILL BE KEY IN THIS ROLE We expect the candidate to: * Have a deep understanding of SEON as a product, not just its API * Understand the full lifecycle of antifraud solutions * Operate effectively across product, analytics, and QA domains * Think системно and manage end-to-end processes * Make independent decisions within the fraud/risk domain * Clearly distinguish between “integrating a provider” and “owning antifraud system effectiveness” REQUIREMENTS * Experience as a QA Engineer, Business Analyst, or Product Owner in fintech, payments, iGaming, or fraud/risk domains * Hands-on experience with SEON (or similar antifraud solutions) * Understanding of: * fraud prevention and risk scoring * API integrations * payment or onboarding business processes * Experience with tools such as Jira, Confluence, or similar NICE TO HAVE * * Experience with KYC / AML providers * Understanding of the payment lifecycle * Experience working with analytics and performance metrics * Technical background OUR RECRUITMENT PROCESS TYPICALLY FOLLOWS THESE STAGES: 1. Application screening 2. Interview Stages (2-3 weeks): * Prescreening call (40 min) * Technical Interview (60 min) * Soft Skills Interview (40 min) 3. Job Offer We offer: * Competitive compensation package (commensurate with your experience) * 19 business days of flexible Paid Time Off (PTO) * Fully remote work with flexible hours (within the CET time zone) from any location of your choice * Values-driven culture with a friendly and supportive work environment * Opportunity to regularly participate in conferences and community events as both a participant and contributor * Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency Embrace the opportunity to develop your skills in a cutting-edge fintech environment. Please apply now to be part of our dynamic team and make a tangible impact on the future of payments! Let’s build something great together! We offer:  * Competitive compensation package (commensurate with your experience) * 19 business days of flexible Paid Time Off (PTO) * Fully remote work with flexible hours (within the CET time zone) from any location of your choice * Values-driven culture with a friendly and supportive work environment * Opportunity to regularly participate in conferences and community events as both a participant and contributor * Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency Embrace the opportunity to develop your skills in a cutting-edge fintech environment. Please apply now to be part of our dynamic team and make a tangible impact on the future of payments! Let’s build something great together!

Intermediate Data Engineer

AB InBev

About Us AB InBev is the leading global brewer and one of the world's top 5 consumer product companies. With over 500 beer brands, we're number one or two in many of the world's top beer markets, including North America, Latin America, Europe, Asia, and Africa. About BEES Join us to build the future of B2B commerce! BEES is AB InBev's B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow. Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference! What You'll Do - Own high-visibility FinOps and data initiatives tied to the company's most strategic KPIs. - Drive company-wide cost performance with an Excellence in the Means mindset, ensuring disciplined execution, sustainable efficiency, and measurable impact. - Lead optimization programs across Databricks workloads, pipelines, clusters, and storage to unlock scalable efficiency. - Build executive-ready dashboards and narratives that translate cost and performance into business impact. - Monitor spend in real time, detect anomalies early, and orchestrate swift cross-team action. - Define and elevate FinOps governance, standards, and accountability across domains. - Partner with engineering and platform teams to shape cost-efficient architecture decisions from day one. - Drive showback/chargeback transparency and strengthen unit-economics visibility at domain level. - Influence budget planning and forecasting with data-driven insights and ROI-based prioritization. - Convert technical findings into clear recommendations for product, finance, and leadership stakeholders. - Collaborate with Data, Finance, Product, Cloud, and Ops to accelerate measurable business outcomes. What You'll Need - Degree in Engineering, CS, Economics, Stats, Math, or related fields. - Strong SQL skills for cost, usage, and performance analysis. - Python proficiency for analytics, automation, and data workflows. - Hands-on FinOps and cloud cost optimization experience. - Experience with Databricks and modern data platform environments. - Experience with BI tools. - Knowledge of Azure cost drivers (AWS/GCP is a plus). - Ability to prioritize initiatives by ROI and business impact. - Strong problem-solving and execution in fast-paced environments. - Advanced English for global written and verbal communication. More About You - Clear communicator who turns data into actionable insights. - Collaborative partner across international and cross-functional teams. - Detail-oriented with high standards for quality and accuracy. - Proactive and ownership-driven from idea to execution. - Adaptable, resilient, and comfortable with changing priorities. - Strategic thinker focused on business value and FinOps maturity. What We Offer - Performance based bonus* - Attendance Bonus* - Private pension plan - Meal Allowance - Casual office and dress code - Days off* - Health, dental, and life insurance - Medicines discounts - WellHub partnership - Childcare subsidies - Discounts on Ambev products* - Clube Ben partnership - Scholarship* - School materials assurance - Language and training platforms - Transport allowance   *Rules applied Equal Opportunity & Affirmative Action AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based on race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group can analyze diversity and reduce bias in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: [www.abinbev.com](https://www.abinbev.com)

Senior Data Engineer | Bees Personalization

AB InBev

About AB InBev AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About ABI Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. About BEES As a technology cell of our organization, we have a simple goal: grow. Grow as people, as professionals, as a company. To achieve this, we use technology to create digital solutions that simplify our customers' lives, make their decisions smarter and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year.   Responsibilities: * Leads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES. * Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling. * Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products. * Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others). * Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.   Requirements and qualifications: * Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar; * Advanced English; * Assess scalability, reliability, security, and compliance implications of data pipeline designs. * Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud. * Evaluate programming solutions in Python, PySpark, Scala, and SQL for data processing and analysis. * Evaluate data quality processes and controls to ensure accuracy and completeness. * Apply debugging techniques to identify and resolve cross-module issues. * Implement monitoring, alerting, and failure handling mechanisms in architecture designs. * Assess effectiveness of CI/CD principles and practices in automated pipelines. * Design, develop, and maintain APIs for data exchange between applications. * Apply Agile practices to plan, execute, and deliver data engineering tasks and projects.   Soft Skills: * Logical reasoning and analytical skills; * Meeting deadlines and quality of work; * Effective and transparent dialog with other areas and co-workers; * Ability to communicate and interpersonal relationships to to present cases and discuss them with other areas involved; * Being independent in activities; * Work as part of a team, promoting a good relationship with the team;   Differentials: * Evaluate data pipeline solutions for latency, throughput and accuracy. * Analyze data requirements and business needs to inform data modeling decisions. * Understand the principles and assumptions of different machine learning capabilities. * Integrate data sets with visualization tools to create insightful reports and dashboards   What We Offer: * Performance based bonus* * Attendance Bonus*  * Private pension plan * Meal Allowance * Casual office and dress code * Days off* * Health, dental, and life insurance * Medicines discounts * WellHub partnership * Childcare subsidies * Discounts on Ambev products* * Clube Ben partnership * Scholarship* * School materials assurance * Language and training platforms * Transport allowance *Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.  For more information: www.abinbev.com