9 Data Quality Manager jobs in Sofia

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description We are looking for a Software Engineer to join our development team and contribute to the development of scalable backend and frontend services. You will support core platform functionality across team-owned services, working with technologies including Python, Java, and React . You will help build reliable APIs, reusable components, service integrations, and user-facing features while contributing to CI/CD practices, code quality, system stability, and continuous improvement. You will report to Senior Software Team Manager. What You'll Do Develop...

SumUp helps businesses get paid effortlessly, process orders fast, sell online instantly, and manage money smarter. We build the tools that let merchants thrive and deliver outstanding customer experiences. But we don’t just simplify transactions — we’re reshaping the future of fintech. Sofia has been the heart of SumUp’s payments platform since day one. For over a decade, our Payments Tribe — made up of cross-functional, autonomous squads — has powered secure, scalable payment processing for card-present and card-not-present (CNP) transactions in 36+ markets, helping millions of merchants grow, get paid, and thrive. We’re looking for an Engineering Manager to lead and grow a team of talented engineers within our Payments domain, which is SumUp’s foundational product, underpinning everything else we do. You’ll collaborate closely with Product and Business partners to scale the backend systems behind SumUp’s global payments engine - securely processing millions of transactions...

emerchantpay is a leading global payment service provider and acquirer for online, mobile, in-store and over the phone payments. Our global payments solution is available through a simple integration, offering a diverse range of features, including global acquiring, global and local payment methods, advanced fraud management and performance optimisation. We empower businesses to design seamless and engaging payment experiences for their consumers. We are looking for a Senior AI Engineer to join our AI Engineering team and help design, build, and roll out production-grade AI solutions, with a strong focus on AI engineering, AI agents, agentic workflows, machine learning, GenAI, and LLM-based applications . This is a senior individual contributor role within the AI Engineering team. The Senior AI Engineer will work closely with the AI Tech Lead , engineering teams, product stakeholders, data teams, cloud/platform teams, and security teams to deliver reliable AI capabilities...

Founded in 1999 and premium listed on the Main Market of the London Stock Exchange, Playtech is a technology leader in the gambling industry with over 7,000 employees across 20 countries. Playtech is the gambling industry's leading technology company delivering business intelligence-driven gambling software, services, content, and platform technology across the industry's most popular product verticals, including, casino, live casino, sports betting, virtual sports, bingo and poker. Read more about who we are and what we do here: www.playtech.com & www.playtechpeople.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Recognizing differences and ensuring our processes are transparent is the core of Playtech’s overall commitment to responsible business practices. Ready to level up your career? Playtech‘s LIVE UNIT is...

Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring...

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description Our Experian Software Solution's Analytics Services Team supports advanced analytic and generative AI products for decisioning, analytics, fraud, and identity globally. As a Machine Learning Engineer , you will design, build, and deploy cutting‑edge machine learning and generative AI solutions at scale. You will combine deep data science expertise with ML engineering and data engineering capabilities to deliver production‑ready models, prototypes, and platform capabilities. You will also partner with cross‑functional teams to support new global product...

We’re looking for a Full-Stack Engineer to help enhance our Cloud Cost Control (CCC) platform by building end-to-end backend and frontend solutions and delivering new features at scale. You’ll develop RESTful APIs and data integrations (e.g., PostgreSQL/Databricks), strengthen performance and security, and drive reliable delivery through CI/CD, Infrastructure as Code, and production observability.   Key Responsibilities: Design, build, and support full stack solutions for backend and frontend applications Develop and maintain RESTful APIs, ensuring seamless integration with databases like PostgreSQL and Databricks Enhance the Cloud Cost Control (CCC) platform for modularity, scalability, and feature improvements Improve application performance, security, reliability, and automate deployments through DevOps practices Manage CI/CD pipelines, define Infrastructure as Code, and set up monitoring and observability for production systems...

emerchantpay is a leading global payment service provider and acquirer for online, mobile, in-store and over the phone payments. Our global payments solution is available through a simple integration, offering a diverse range of features, including global acquiring, global and local payment methods, advanced fraud management and performance optimisation. We empower businesses to design seamless and engaging payment experiences for their consumers. We are looking for a Senior AI Engineer to join our AI Engineering team and help design, build, and roll out production-grade AI solutions, with a strong focus on AI engineering, AI agents, agentic workflows, machine learning, GenAI, and LLM-based applications . This is a senior individual contributor role within the AI Engineering team. The Senior AI Engineer will work closely with the AI Tech Lead , engineering teams, product stakeholders, data teams, cloud/platform teams, and security teams to deliver reliable AI capabilities...

What’s in it for you? You’ll join a highly collaborative environment where innovation, ownership, and continuous learning are at the core of how we work. At MetLife, you’ll be empowered to deepen your expertise while contributing to the evolution of modern production management practices, including DevOps, automation, and AI-driven solutions. This role offers the opportunity to make a tangible impact—enhancing the resilience, performance, and security of critical platforms that support our business. Position objective: The Production Management Engineer (PME) ensures the reliability, performance, and stability of critical production platforms by combining production support with modern DevOps, observability, and automation practices. The role focuses on transitioning from reactive incident handling to proactive reliability improvement , leveraging monitoring, automation, and AI-enabled tools. In addition, the PME supports day-to-day operations and requires a solid...