YLD

• As a Senior Data Engineer at YLD, you'll be part of a client team building innovative products. • We’re looking for someone curious, passionate, driven, and enthusiastic. • You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. • You’re also an effective communicator and a strong team player. • Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.

Role Description As a Senior Software Engineer at YLD, you’ll be part of a client team building innovative products. We’re looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You’re also an effective communicator and a strong team player. Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects. Your day-to-day responsibilities will look like this: - Crafting excellent products! You will be building new features that meet the needs of our clients and customers; - Continuously delivering changes to products, as our client is moving to a full CI/CD model; - Working closely with your team, regularly collaborating on engineering initiatives, to continually push yourselves to be better; - Learning, growing, and mentoring the engineering team to accelerate their career growth and encourage them to progress; - Working with the Lead to architect, design, build, and deliver highly available, always-on, zero downtime products; - Being responsible for the production operation and monitoring of products in line with SLAs; - Driving good practices within your team, making an impact on the whole department; - Participating in regular show and tells, promoting your work to both your department and the wider company. Qualifications - Proficiency in JavaScript/TypeScript, Python, and/or Go, with the ability to rapidly learn new languages; - Experience with modern frameworks across the stack (FastAPI, Gin, Express, etc.); - Production experience with React, modern build tools, state management, responsive design, and accessibility standards; - Comprehensive testing experience (unit, integration, E2E, security) and performance optimization; - Scalable system design patterns, load balancing, and high-availability architectures; - Database design and optimization (both relational and NoSQL); - API development (REST, GraphQL, gRPC) and event-driven architectures; - Caching strategies and message queue systems (Redis, Kafka, RabbitMQ); - Cloud platforms (AWS, Azure, GCP) with containerisation (Docker, Kubernetes); - CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation); - Monitoring, observability, and performance optimisation tools; - You can keep a cool head when debugging production issues; - Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer. Requirements - Self-motivated, proactive and always looking for ways to improve and develop yourself; - A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language. - Detail-oriented; - Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs; - Used to working in a team-oriented, collaborative environment; - Analytical and problem-solving-oriented; - A genuine believer in diversity and fairness. Benefits - Company Private Health care - Enhanced fully paid maternity and paternity leave for up to 6 months - 25 days annual holiday (excluding Public Holidays) - €2000 annual allowance for Training/Conferences - €300 annual allowance for additional hardware - Mental Health support: access to Oli app - Meditation/Sleep support: Headspace or Calm app subscription - Bonus (depending on Company performance and results) - Company laptop - Generous referral schemes Company Description We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

Role Description As a Senior Software Engineer at YLD, you’ll be part of a client team building innovative products. We’re looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You’re also an effective communicator and a strong team player. Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects. Qualifications - Strong backend engineering experience, with Go as a primary or preferred language - Comfortable working in cloud environments such as AWS, Azure, or Google Cloud - Experience building and maintaining APIs and backend services, including SaaS platforms - Familiarity with modern infrastructure and distributed systems - Solid understanding of modern deployment practices, including Docker, containers, and Kubernetes - Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization - Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer Requirements - Self-motivated, proactive and always looking for ways to improve and develop yourself - A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language - Detail-oriented - Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs - Used to working in a team-oriented, collaborative environment - Analytical and problem-solving-oriented - A genuine believer in diversity and fairness Benefits - Company Private Health care - Enhanced fully paid maternity and paternity leave for up to 6 months - Enhanced pension scheme (only for UK) - 25 days annual holiday (excluding Public Holidays) - £/€2000 annual learning and development budget for training courses and conferences - £/€300 annual allowance for additional hardware - Wellbeing & Performance Support via Oli including Therapy and Coaching - Discretionary Bonus (depending on Company performance and results) - Generous referral schemes

• Design, build, and maintain robust backend and infrastructure systems using Golang and Java with contributions across the broader engineering stack • Work closely with client teams in collaborative working sessions, explaining technical decisions and translating complex engineering concepts clearly • Deploy and manage cloud infrastructure across AWS and GCP using Kubernetes (EKS/GKE), Terraform , and Flux • Actively leverage AI-powered tools and workflows to accelerate development, improve code quality, and drive engineering best practices

• Building, maintaining, and scaling the analytics platform infrastructure that underpins analytics, data science, and reporting capabilities; • Designing and managing data ingestion pipelines, ensuring reliable and timely flow from multiple sources; • Implementing and maintaining containerized environments with Docker and orchestration with Kubernetes; • Supporting continuous integration and delivery of platform components using GitHub Actions; • Collaborating closely with Analytics Engineers, Data Scientists, and Analysts to deliver scalable, high-performance solutions; • Monitoring platform performance, identifying bottlenecks, and implementing improvements for reliability and efficiency; • Participating in team knowledge-sharing sessions, demos, and internal workshops to promote best practices.

• Design, build, and maintain robust backend and infrastructure systems using Golang and Java with contributions across the broader engineering stack • Work closely with client teams in collaborative working sessions, explaining technical decisions and translating complex engineering concepts clearly • Deploy and manage cloud infrastructure across AWS and GCP using Kubernetes (EKS/GKE), Terraform, and Flux • Actively leverage AI-powered tools and workflows to accelerate development, improve code quality, and drive engineering best practices

• Collaborate with the client on product vision, help set your team goals and guide the team to ensure OKRs are achieved; • Translate the product vision and roadmap through to delivery, operation and continuous improvement; • Develop a deep understanding of customer personas, jobs-to-be-done and product behaviours; • Lead multiple cross-functional squads to deliver innovative solutions, in line with roadmap and stakeholder expectations; • Develop and prioritise a roadmap with the team along with a coherent product backlog that supports it; • Manage and rigorously prioritise the backlog to ensure that it is up-to-date, relevant, and actionable, confidently narrowing 30+ incoming requests down to the 4–5 highest-impact initiatives; • Optimise the best technical solutions to avoid over- and under-engineering problems, making sure that Development effort focuses on the right areas; • Support multiple engineering squads working largely independently, while reporting into a dedicated Product/Delivery Manager to ensure alignment and clarity of expectations; • Demonstrate high agency and ownership, able to push back constructively, defend product decisions with data and reasoning, and operate with genuine self-sufficiency.

• Collaborate with stakeholders to identify and understand business problems and define data-driven solutions; • Lead end-to-end data science projects, from problem formulation and data exploration to model development, validation, and deployment; • Apply advanced statistical modelling and machine learning techniques to derive actionable insights and drive strategic decision-making; • Develop and implement predictive and prescriptive models to solve complex business challenges; • Collaborate with software and data engineers to integrate data from multiple sources and ensure data quality and integrity; • Communicate complex analytical concepts and insights to technical and non-technical stakeholders in a clear and compelling manner; • Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies, and proactively identify opportunities to apply them to business problems.

• Building and refining scalable backend systems using Python • Designing infrastructure on AWS and implementing robust CI/CD pipelines • Writing clean, tested code that supports millions of users worldwide • Collaborating closely with a global, diverse team of engineers • Advocating for best practices, continuous improvement, and thoughtful architecture • Showcasing your work in regular demos, and giving and receiving feedback

• Responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team • Instrumenting systems for performance and enhancement throughout • Ensuring data offerings to various internal & external stakeholders using secure authentication patterns • Choosing and implementing appropriate technologies for scaling data access patterns, batch processing, and data streaming • Coaching & mentoring other engineers to support technical expertise growth