IT Operations Engineer

ABOUT THE JOB At Flatpay, we're building products that make running a business simpler. Flatpay is one of Europe's fastest-growing fintechs. Founded in Copenhagen in 2022, we've grown to more than 100,000 merchants across seven European markets and continue to expand rapidly. We're looking for a Product Manager to help shape the experiences that connect merchants with their customers - from the moment a customer decides to visit or order, through fulfillment, payment, and daily operations inside the business. You'll work closely with engineering, design, commercial teams, and merchants to build products that become part of a merchant's everyday workflow. WHAT YOU'LL DO You'll own products that sit at the intersection of consumer experience and merchant operations. Think less about payment terminals, and more about what happens before, during, and after the transaction. Your work may include areas such as: * Customer ordering journeys across physical and digital channels * Merchant workflows for managing incoming customer requests * Staff-facing operational experiences * Fulfilment and order lifecycle management * Merchant productivity and operational efficiency * Experiences that connect customer-facing journeys with what happens inside the business We care much more about solving merchant problems than shipping feature lists. What success looks like You understand how merchants actually operate. You spend time in restaurants, cafés, retail stores, and service businesses watching real work happen. You know where friction exists between customers placing orders and staff fulfilling them. You simplify those workflows without adding unnecessary complexity. You collaborate with our "Online" teams and ensure great merchant experience. We'd love to meet you if you have experience building products for * Hospitality or restaurant software * Commerce platforms * Omnichannel retail * Point-of-sale platforms * Online ordering * Booking and reservation systems * Workforce management * Last-mile fulfilment You don't need experience in all of these. But you've probably built products where digital experiences meet real-world operations. WHO YOU ARE * You have 4–8+ years of product management experience. * You're comfortable owning products end-to-end, from discovery through delivery. * You have a strong product instinct and spend time with customers before deciding what to build. * You know how to balance in-person merchant feedback, business priorities, and engineering constraints. * You care about outcomes more than outputs. * You're comfortable working in a fast-moving environment where priorities evolve as we learn. * Experience with payments is helpful but not required. * Experience building operational products for merchants is highly desirable. WHY FLATPAY? Merchants don't think in terms of online versus offline. Neither do we. We're building products that help merchants run their businesses across every customer touchpoint. That means solving problems that span software, operations, payments, and customer experience. You'll have the opportunity to shape products used by thousands of businesses across Europe while working in a team that values speed, ownership, and close collaboration with customers.

At DFDS, we use AI to solve concrete operational problems across European logistics, ferry, and terminal operations. We are looking for a Data Scientist focused on Applied AI and optimisation, someone who enjoys turning complex, real-world challenges into robust and scalable solutions that deliver measurable impact. This is not a research role. This is about building solutions that are used. About the role You will join the Data Science Chapter and AI Center of Excellence (CoE), where we both enable AI adoption across the organisation and build applied AI solutions for real operational problems. In this role, your primary focus will be on developing and delivering AI solutions that support decision-making in logistics, ferry, and terminal operations. You will work on turning complex operational challenges into deployable systems within machine learning, optimisation, and generative AI. At the same time, you will contribute to a shared foundation of best practices, reusable patterns, and continuous learning across the team. You will collaborate closely with product owners and engineers, while the chapter provides support for deployment, monitoring, and scaling. What success looks like In your first 6–12 months, you will: * Contribute to a model or solution that is integrated into a product or workflow * Help shape how we apply AI and optimisation in practice at DFDS What you will do * Translate operational problems into analytical and modelling approaches. * Develop ML models, statistical methods, and optimisation solutions * Design and build AI products leveraging agentic workflows where they create real value * Build MVPs and iterate them into production with engineers * Collaborate with stakeholders, such as ship’s crew or terminal workers and communicate results clearly. About the team You will be part of DFDS’ Technology & Innovation division (T&I), working in a collaborative and experienced environment across data science, optimisation, and engineering. The Data Science Chapter and AI CoE provide: * Shared standards for MLOps and responsible AI * Peer sparring and code/model reviews * A modern stack (Python, APIs, k8s based CI/CD pipelines, and MLOps tooling) Example of problems that we are working on * Optimising route planning across logistics networks * Reducing fuel consumption through predictive and optimisation models * Predicting overbooking in freight and passenger systems * Forecasting invoice payment behaviour * Designing agent-based planning tools for terminals * Automating structured data extraction using LLMs and RAG About you We are looking for an early- to mid-career professional with strong analytical foundations. Your background educational background can be many, e.g. a M.sc. or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or similar. you most likely bring: * ~2–4 years of industry experience working with ML/statistical models * Strong skills in modelling, mathematics, and problem formulation * Experience with designing, training and implementing of predictive models or optimisation algorithms in a production environment. Your strengths * You enjoy turning real-world problems into structured models that delivers value * You appreciate the practices that keep models reliable in production (CI/CD, monitoring, deployment) * You are comfortable working across ML, AI, statistics, and optimisation * You are curious about LLMs and modern AI — but not driven by hype * You can prototype solutions in Python and collaborate with engineers on production We think the strongest teams are built on diversity and inclusivity. Contrasting opinions, varied skills, and strong characters bring out the best in us all. And we cannot wait for you to join. Working at DFDS Join the movement and grow with us We promote a great workplace with a diverse and vibrant community. Our award-winning headquarters in Copenhagen offers a modern workspace with ocean views and easy access to public transport. Beyond the day-to-day work, DFDS has a strong social and community culture, including employee sports clubs, choir, and other shared activities — as well as on-site facilities that make it easy to connect with colleagues across teams. You will join an environment focused on: * Real-world impact * Learning and experimentation * Continuous development through T&I’s career development model, GROW Are we a match? Then what are you waiting for? Apply now. If you think your personality, skills, and experience match this role, we’d love to hear from you. Please submit your CV and a brief motivational letter (in English) on why you are applying as soon as possible as we review applications on an ongoing basis. For questions, please contact Data Science Chapter Lead, Per Hansen at pehan@dfds.com. We look forward to hearing from you. Please note that due to the summer holiday period, there might be a delay in response time, but rest assured that we will get back to you as soon as possible.