Data Operations Specialist

Backbase

The Job in short You will join a team of QA Engineers with a focus on best practices in quality, test automation and CI Spaces, and work to ensure the organization is always running smoothly. These practices include metrics to monitor code coverage, bug prevention strategies and other quality measures. Meet the job You will be a part of our Customer Success team and ensure we deliver quality solutions during the entire SDLC of the project and that the product is implemented successfully for our customers; ● Develop, enhance and execute Manual and Automated tests; ● Test features on different test levels (Integration, System, Functional, Exploratory testing, Regression, Smoke and Sanity); ● Create and maintain Test Plan, Test Strategy documents for the release; ● Participate and get involved in agile ceremonies such as refinement; planning, daily standups, reviews and retrospectives and other activities such as a bug triage, product demo etc; ● Meet with the QA Guild (Chapter) team to share and experiment with new QA Standards and techniques; ● Constantly strive and collaborate to improve the process; ● Participate in defining internal QA goals such as the evaluation of new tools, Setting up new processes, Training new hires etc. ● For Principle/Senior role : ->Ability to mentor or guide peers; ->Perform code review and ensure best practices are followed; ->Participate in QA Hiring and enablement. ● Be flexible to adapt and learn new tools and tech-stack in short time; ● Produce defect metrics and reporting on the full QA process; ● Prepare different Test-suites like Smoke, Regression (manual); ● Regression (automated), etc. and maintain throughout the Release; ● Raise risk and blockers at the earliestv; ● Promote quality assurance in your team by owning the testing process and making quality an important deliverable; ● Hands-on and meet with clients.     How about you ● Strong communication skills in English (spoken and written), As you have to act as mediator between the business and technical team; ● Understanding exploratory testing and when to implement it; ● You have a good amount of programming skills in Java; ● Experience in testing across multiple platforms Mac OS & Windows; ● Solid understanding of the Agile Methodologies; ● Exposure in Android Studio and XCode; ● Mobile -> Experience in creating automation framework using Appium (Android & IOS); ● Experience working on End-to-End testing on Mobile Applications; ● Hands-on experience configuring, maintaining, and using Appium servers for mobile device automated testing; ● Strong functional knowledge of Android & IOS; ● Design and develop automated UI tests with XCUI/Espresso/Selenium Appium; ● Hands on experience in Cloud Based Infrastructure tools-Browserstack/Saucelabs/Lambdatest; ● API Testing -> Experience in testing API via Postman, RestAssured, SoapUI, etc; ● You understand continuous integration with an end to end automated testing on web and mobile; ● Experience with Jenkins, GitHub Actions (Jobs, Pipelines); ● Experience with working on version control systems (SVN/Git/GitHub/Bitbucket); ● Experience with NFRs such as Accessibility, Localization, Cross Browser, Cross Platform, etc; ● Familiar with Defect Management Tools ex. JIRA.

Dedale Intelligence

❗NOTE: This is a New Opportunity — We're Building Our Tech Team in Vietnam 🌏 As Dedale expands its engineering capabilities, Vietnam is at the heart of that ambition. We already have a thriving team of 16 in Vietnam — and we're now looking for exceptional technical talent to help us take the next step and build something truly lasting here. If you see this posting, it means we are actively reviewing applications and building something great. We'd love to hear from you! 🚀 ABOUT DEDALE: Dedale is the differentiating source of strategic intelligence in the technology space. With a unique team of over 100 full-time research analysts & planners, Dedale leverages a network of over 10,000 market professionals to deliver on-the-ground strategic intelligence to investors and corporates, with a core focus around North America and Europe. ABOUT THE ROLE: You will be a core contributor on a small, high-ownership engineering team. That means working across the full stack, taking features from design to production, and being someone the team genuinely relies on, technically and otherwise. Day to day, this includes: * Building new features on both the customer-facing platform and the internal tools our analysts use to produce intelligence. * Designing and maintaining the APIs that power our product. * Contributing to our AI initiatives, not just integrating models, but thinking carefully about where AI genuinely adds value in our product. * Participating in architecture decisions and technical discussions, not just executing them. * Reviewing code with the goal of making the whole team better, not just catching bugs. * Staying curious about new tools and approaches, and bringing that curiosity to the team. YOUR FIRST 90 DAYS: Week 1 — You spend your first week getting up to speed. That means onboarding sessions to understand our business, our clients, and what we are building, alongside setting up your environment and getting familiar with the codebase. You will likely ship something small by the end of the week, but the goal is to build a solid foundation, not to prove anything yet. Weeks 2 to 4 — You start contributing independently, picking up bugs and small improvements that let you navigate the codebase with growing confidence. By the end of the month, you are working on your first real feature, customer-facing, with enough scope to be meaningful. Days 30 to 90 — You become a full contributor. You take ownership of features, deliver them without needing hand-holding, and your code reviews are genuinely useful to the team. You have internalized our standards well enough that you are reinforcing them, not learning them. You are autonomous on most technical topics, even if some corners of the codebase are still new to you. By day 90, we know we can give you something and trust that it will get done well. WHAT WE ARE LOOKING FOR: You have solid experience building production-grade applications, enough that you know what good looks like and why it matters. You are comfortable with ambiguity, can navigate a codebase that is still evolving, and take ownership without needing to be managed. More specifically: * Strong command of TypeScript, React, NestJS and GraphQL. You know these well enough to have opinions about them. * Experience with relational databases and data modeling (we use PostgreSQL via Prisma). * Comfortable with Docker, CI/CD, and automated testing as part of your normal workflow, not as an afterthought. * You write code for the next person who will read it, not just for today's deadline. * Fluent in English, written and spoken. Our team and documentation are in English. Nice to have: * Experience with workflow automation tools (we use n8n extensively). * Familiarity with LLM tooling or AI integration in production contexts. * Experience in a startup or small team environment where you wore multiple hats. RECRUITMENT PROCESS: * Intro call with a Talent Acquisition Specialist (30 mins). * Interview with our Tech Lead (1h). * Case Study (take home test, 3 days to complete) * Final interview with 2 members of the leadership team and coffee chat with the team. * Reference check

Monzo

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.  With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ ----------------------------------------------------------------------------------------------------------------------------------   📍London/Cardiff/UK Remote | 💰£113,200 - £145,200 + equity + Incentive Awards tied to your performance + Benefits  ✨ Our Operations Machine Learning team ⭐ We’re building the machine learning and optimisation systems that help Monzo provide fast, efficient and resilient customer support at scale. You’ll lead Machine Learning for our Workforce Management vertical: the organisation that makes sure Monzo has the right human support supply to meet customer demand. The team works on demand forecasting, real-time supply <> demand matching, problem routing and escalation, and predictive models that help us understand how long work will take, what might become late, and where the next best human support should be assigned. This is a great role for someone who is still close to technical work. You might be a Tech Lead, Team Lead, Senior Machine Learning Scientist or Senior Machine Learning Engineer who has recently been building models and systems yourself, and is excited to grow into a broader leadership role. Not everything here is about LLMs. You’ll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter. You’ll lead a growing team of Machine Learning Scientists, embedded in product squads working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists. 🔑You’ll play a key role by… * Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents. * Leading the design, build and delivery of production ML systems across forecasting, routing, assignment, escalation and time-to-completion prediction. * Staying close to the technical details: helping the team frame problems well, choose the right modelling approach, define robust validation, review trade-offs and ship safely. * Working with Product, Engineering, Data and Operations leaders to turn ambiguous operational problems into pragmatic, iterative ML systems that improve real customer outcomes. * Coaching and developing Machine Learning Scientists through regular 1:1s, feedback and technical guidance. * Creating healthy ways of working for the team: clear priorities, strong technical standards, good documentation, sensible monitoring, and space for people to do their best work. * Contributing to the wider Machine Learning discipline at Monzo, helping us scale how we build, ship and operate ML systems in production. 🤩 We’d love to hear from you if… * You’ve recently worked as a hands-on Machine Learning practitioner, for example as a Senior IC, Tech Lead, Team Lead or ML manager. * You have strong foundations in ML, statistics, forecasting, optimisation or operations research, and enjoy applying them to messy real-world problems. * You’ve built, shipped or owned ML systems in production, and understand what it takes to make models useful, reliable, monitored and safe. * You can move between technical detail and business context, explaining complex ML ideas clearly to technical and non-technical people. * Coaching others is something you enjoy and take seriously. You may already have people management experience, but we’re also open to people taking their first formal step into management. * Ambiguous problem spaces energise you. The right answer might involve a model, an algorithm, a product change, an operational process, or a combination of all four. * Customer outcomes matter to you, and you want to build systems that help people get answers to their problems quickly and efficiently. * You’re adaptable, curious and excited by quantitative problems. Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you! 🙌 What’s in it for you 💰 £113,200 - £145,200 ➕Incentive Awards tied to your performance. ✈️ We’ll help you relocate to the UK. ✅ We can sponsor your visa.  📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)  ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.  📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.  ➕ Plus lots more! Read our full list of benefits. 🌈 The application journey has 3 key steps * Recruiter Call * Initial Call * Full Loop: ML Modelling Skills Interview, Product & ML interview, Project Deep Dive Interview, Leadership interview This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible!  We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. #LI-REMOTE ---------------------------------------------------------------------------------------------------------------------------------- Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊