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We are seeking a Senior Infrastructure Engineer to join our global systems engineering team. This role owns the design, engineering, and day-to-day operations of enterprise virtualization, storage, and backup platforms across a hybrid multi-cloud environment spanning data center sites across three regions. You will build and maintain highly available, scalable, and automated infrastructure using infrastructure-as-code practices. This is a hands on engineering role that requires deep technical expertise across VMware, enterprise storage (NetApp, Pure, Nimble, FC SAN), and data protection (Commvault, Cohesity), combined with strong automation skills (Terraform, Ansible, Python, PowerCLI). You will work across global teams to deliver secure, resilient, and performant platforms. Key Responsibilities Virtualization Design, engineer, and operate the global VMware virtualization platform (vCenter, vSphere/ESXi 6.x-8.x, NSX T, vRNI, Log Insight). Manage VMware HA, DRS, vMotion, storage vMotion, and ESXi multipathing across production environments. Define and implement virtualization strategies across on premises, hybrid, and public cloud platforms (VMC on AWS/Azure/GCP, HCX). Perform capacity planning, patching, upgrades, security hardening, and performance troubleshooting. Storage Manage and optimize enterprise storage platforms: NetApp (file/NAS), Pure Storage (block/flash), HPE Nimble/Alletra, and Fibre Channel SAN infrastructure. Perform storage provisioning, performance tuning, capacity management, and lifecycle maintenance. Troubleshoot memory, datastore, and storage performance issues across the virtualization estate. Backup & Data Protection Own and operate enterprise backup and data protection platforms (Commvault, Cohesity). Design and maintain DR replication strategies using VMware SRM, Zerto, or equivalent technologies. Ensure backup SLAs are met, conduct recovery testing, and maintain DR runbooks. Automation & Infrastructure-as-Code Build and maintain automation and orchestration frameworks using Terraform, Ansible, Python, PowerCLI, and PowerShell. Develop infrastructure-as-code pipelines for provisioning, configuration management, and platform operations. Automate routine operational tasks to drive efficiency, reduce toil, and improve consistency. Cross-Functional Partner with global operations teams (Network, Cloud, Desktop, Data Center) to ensure platform stability and reliability. Maintain documentation, SOPs, engineering designs, and runbooks. Participate in weekly on call rotation supporting a 24x7 global environment. Skills and Experience VMware certification (VCP/VCAP). 5-8 years hands on experience with vCenter and vSphere/ESXi 6.x-8.x. Deep understanding of VMware core technologies and enterprise virtualization (HA, DRS, vMotion, ESXi multipathing). 5+ years managing enterprise storage platforms (NetApp, Pure Storage, Nimble/HPE Alletra, or Fibre Channel SAN). 3+ years operating enterprise backup and data protection tools (Commvault, Cohesity, or equivalent). 5+ years automation and infrastructure-as-code experience: Terraform for infrastructure provisioning; Ansible for configuration management and orchestration; Python, PowerCLI, and PowerShell for scripting and tooling. 5+ years supporting large, globally distributed systems. 5+ years supporting VMware SRM or equivalent DR replication technology. Knowledge of NSX T, vRNI, Log Insight. Experience with VMC on AWS/Azure/GCP and HCX. Strong understanding of TCP/IP and DNS. Experience working in financial services or a regulated environment. Desirable Skills Nutanix AHV/AOS or similar second virtualization platform. Strong knowledge of server hardware (Cisco UCS, HPE Synergy). Software defined compute experience. Experience with vRealize Operations Manager. Working knowledge of AWS/Azure cloud native services. Experience deploying vVols. VDI technologies (preferably Citrix). Linux/Windows OS, Kubernetes, DevOps practices. What We Expect Own your domain end-to-end and surface issues proactively. We don't chase. Communicate effective decisions aligned with business goals and operational priorities. Excellent troubleshooting instincts and a customer service mindset. Work independently and effectively across global teams and time zones. Communicate clearly in writing and verbally.

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 30 years, so has DRW - maximizing opportunities to include real estate, cryptoassets and venture capital. With over 2000 employees and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It's a place of high expectations, deep curiosity and thoughtful collaboration. We are seeking a Senior Software Engineer to join our Unified Platform (UP) organization. UP consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. As a Software Engineer on one of the Unified Platform teams, you'll be part of a tight knit team of software engineers working closely with internal users (analysts, quants, traders) to develop innovative systems that enable research and trading. You'll experiment with emerging technologies to process data at scale. You'll wrestle a mountain of data into human understandable insights. We care deeply about preserving a respectful and diverse team culture. We are a group of polyglots and technologists always seeking to find the right tool for each problem, even if that means learning something new or reviving something old. We value business impact and outcomes over process, and we make decisions based on data. We strive to adapt quickly as business priorities change. What you'll do in this role: Develop tools to enable the business to rapidly embrace new opportunities in global markets Partner closely with internal customers to understand their needs and build intuitive self service tools Develop software for large scale data acquisition, storage, accessibility, and visualization Work with a team to maintain and extend our global markets reach Learn about market microstructure, financial instruments, and markets in which DRW participates or wants to participate in This could be a good fit if you: Are motivated to solve hard problems with deceptively simple solutions Think a lot about user experience and try to really understand end users' jobs and pain points Think a lot about APIs, modular design and testing Love refactoring and keep trying until you find a better answer Enjoy making the "right way to do it" the path of least resistance Have made a random tool for yourself and then peers ask for it then other teams ask for it Are fiercely proud of your project's reliability, performance and ease of maintenance Are excited to learn about financial markets, trading, etc. What we need on the team: At least 2 3 years of platform level software development experience Strong computer science fundamentals; a degree in Computer Science or equivalent work experience Strong experience with Java, Python or any modern programming language Experience processing high volumes of data at scale Excellent analytical and problem solving skills Comfort working within a globally distributed team A background in some of the following a bonus: Java experience Python experience Ruby experience Big data technologies: Spark, Trino, Kafka Financial Markets experience SQL: Postgres, Oracle Cloud native deployments: AWS, Docker, Kubernetes Observability: Splunk, Prometheus, Grafana

Location London Employment Type Full time Location Type Hybrid Department Commercial Revenue Operations Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Senior Data Engineer We're hiring a Senior Data Engineer to join Synthesia and take ownership of our core data systems. You'll be responsible for designing and maintaining scalable pipelines, optimising data models, and ensuring high data quality and governance standards. What you'll do at Synthesia: Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse. Own the evolution of our dbt project - implementing modular modelling patterns and other best practices to ensure a "single source of truth" for the entire organisation. Manage platform infrastructure in snowflake, AWS and other tools. Continuously optimise warehouse performance and cost by diagnosing bottlenecks, tuning inefficient queries, and improving how compute resources are used as we scale. Bridge the gap between experimental data science workflows and production, building the infrastructure and orchestration needed to deploy and monitor batch ML jobs. Drive best practices in data security, governance, and compliance, particularly with regards to AI. Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions. What we're looking for: 5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems. Experience working in an early-stage or scaling data function. You're comfortable taking ownership and wearing multiple hats when needed. Strong foundations in software engineering and data modelling best practices, with an ability to design systems that are maintainable, scalable, and easy for others to build on. Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow). Hands on experience managing cloud infrastructure using infrastructure-as-code (e.g. Terraform) on AWS, GCP, or similar platforms. A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability. Excellent communication skills: you can work effectively with technical and non-technical stakeholders to gather requirements, explain trade-offs and communicate data team needs. A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.

What's Exciting About the Role Verifone is seeking an experienced MySQL lead who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects, senior developers, and application support engineers for architecture design and SQL optimization, establishing and documenting best practices. We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers' most challenging business needs. As a Lead DBA, you'll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on-prem environments, while leading the team from a technical and development perspective. Locations Bucharest, Romania London, United Kingdom Riga, Latvia Warsaw, Poland Key Responsibilities You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications. The candidate should understand the application functionality, business logics and work with application stakeholders to understand the requirement and discuss with new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. Design, install, deploy, and manage MySQL on physical, virtual, AWS EC2 / RDS / Aurora. Build MySQL clusters with a high availability, active active cluster setup in large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario. Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms. Define thorough and validated database monitoring and alerting, along with documentation for future references. Setup high availability with master master / master slave replication. Maintain stable performance via server optimizations. Guide engineering teams to best practices on server configurations and SQL tuning. Maintain security and compliance via OS and database version upgrades. Work with application stakeholders to create effective database solutions. Create and maintain ad hoc reports. Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks. Support application release process, and automations. Mentor and develop other engineers on MySQL skills. Required Qualifications/Skills Minimum 8 years of experience managing MySQL. Experience with MySQL Active/Active cluster setup, database upgrade and migrations, scripting. Experience administrating MySQL on Linux platform. Experience with MySQL version upgrades in production environments with zero or very minimum application downtime. Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB. Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc. Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef. Proficiency with cloud infrastructure, AWS RDS or equivalent. Automation/scripting skills in a modern language like Python, shell scripting, Go, Java, Rust. Proficiency in CI/CD pipelines such as Jenkins, GitHub Actions, GitLab. Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning. Strong technical leadership, mentoring and time management skills. Preferred Skills Experience working with PCI (Payment Card Industry Data Security) standards. ITIL environment experience. Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics. Experience managing PostgreSQL, SQL Server, and/or Oracle. Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc. Experience with data analytics and business intelligence. Our Commitment Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

SENIOR DATA PLATFORM ENGINEER ABOUT US Every day, we push beyond expectations to help millions of people save money, at a time when it's never mattered more. Through MoneySuperMarket, MoneySavingExpert, Quidco and our B2B partnerships we supply products to more than 24 million unique monthly visitors, helping UK households to save billions of pounds a year. Can you tell this is something we're exceptionally proud of! Creative, collaborative, ambitious - it's hard work. But what makes it worth it? Leaving work knowing we've made a difference to our customers, users, and to each other. Put our distinct brands together with our dedicated colleagues and you've got a workplace with lots of personality. We're open minded, diverse, and love our differences. Everyone plays a part, and comes together to work hard, go beyond, and make sure everyone feels they belong. WHY JOIN THE DATA TEAM As part of the company Data Team, our goal is to drive business growth by building and maintaining data products that power analytics, financial reporting, CRM, machine learning and personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible for decision making. Data & AI Engineering is a cross functional team of engineers and scientists. We integrate with the group's operational data stores, maintain shared data models, build AI infused internal and external data products, and provide tools and services that help data teams handle data securely and ship with confidence. ABOUT THE ROLE This is a hands on engineering role for someone who wants to build reliable data platform capability and improve how engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across the company. AI assisted engineering is an important part of the role, but we do not expect candidates to arrive as experts in every agent framework or tool. We are looking for strong engineering judgement, curiosity, and the ability to apply automation responsibly to real delivery and operational problems. You might come from data engineering, platform engineering, software engineering, SRE, analytics engineering, MLOps, or cloud infrastructure. What matters most is that you enjoy reducing toil, improving developer experience, and building secure, observable systems that other teams can depend on. WHAT YOU WILL BE DOING Build and operate the data platform Contribute to the design, delivery and operation of platform infrastructure using infrastructure as code, primarily Terraform. Improve CI/CD pipelines, deployment practices and platform tooling that enable data teams to self serve safely. Work with security, compliance and data protection colleagues to reduce risk and improve data handling practices. Deliver reliable data products Build robust, scalable data solutions that support business needs such as CRM, SEO, financial reporting and personalisation. Stay close to the business context and apply software engineering practices to solve specific data problems. Improve monitoring, alerting, data quality checks and observability so issues are detected and understood quickly. Improve engineering workflows with AI and automation Identify repeated or high friction engineering tasks and turn them into reliable automated or AI assisted workflows. Help shape team practices for coding agents, prompts, local instructions, skills, hooks and tool integrations where they deliver real value. Balance speed with security, reviewability and maintainability when introducing AI assisted delivery patterns. Enable the wider team Share practical learning through documentation, demos, pairing and show and tell sessions. Support more junior team members through coaching, code review and clear engineering standards. Keep an informed view of the fast moving AI tooling landscape and recommend adoption where it solves real team problems. WHAT WE LOOK FOR Essential experience and strengths Strong software or data engineering fundamentals, including production Python and SQL. Experience building, operating or improving cloud based systems. Familiarity with infrastructure as code, CI/CD, version control and automated testing. Ability to reason about reliability, security, observability and operational support. Experience working with technical and non technical stakeholders and communicating clearly. Curiosity about AI assisted engineering and automation, with an interest in applying these tools to practical delivery workflows. Useful but not essential Experience with GCP, AWS or Azure services such as serverless runtimes, networking, data warehouses, streaming systems or managed workflow platforms. Experience building or configuring AI agent workflows, custom agents, tool/function calling, MCP servers, local coding agent instructions, hooks or SDKs. Experience with BDD/TDD, design for testing, or improving testability in data and platform systems. WHAT REWARDS ARE ON OFFER Up to 27 holidays + bank holidays Pension up to 6% employer contribution Bonus scheme Digital Doctor on demand Work from anywhere scheme - 2 weeks per year Financial coaching Mental health platform access HOW WE'LL INVEST IN YOU We're invested in your development. Expect mentorship, training, and opportunities to expand your skill set, including access to your own individual LinkedIn Learning license with access to over 16,000 courses. At the company, we believe in the strength of diversity and see inclusion as a strategic advantage. Our values guide us in creating a workplace where fairness and equity is a reality for all. We're committed to minimising systemic bias and creating a level playing field for all candidates. We provide reasonable accommodations in the application process. You do not need to disclose your disability or condition - just specify your needs and we will guide you through available accommodations.

Overview The Opportunity: As a Senior Developer, you'll have significant autonomy to shape how some of the world's largest telecom operators communicate with consumers and detect issues across their networks. You'll help evolve the platform into a proactive, intelligent system built around Observe - Think - Act workflows, designing autonomous, AI driven operations that surface insights, trigger actions, and streamline complex network processes at scale. You'll work across the full stack, building intuitive interfaces in React and architecting resilient Python backend systems capable of handling massive volumes of time series telemetry. You'll join a dynamic, experienced global product and engineering team, collaborating with specialists across mobile SDKs, cloud platforms, and large scale distributed systems, while working directly with global customers. Key Responsibilities Full-Stack Development: Develop and maintain robust, scalable web applications using React, Redux, and modern backend frameworks. Automation & AI Features: Move the platform from reactive reporting to proactive operations by implementing Observe Think Act loops for network outage detection and communication. Maintain Technical Quality: Write clean, maintainable, and efficient code while conducting high signal code reviews to elevate engineering standards. Collaborate Cross Functionally: Work closely with Product teams to translate emerging AI capabilities into high performance features for our global operator clients. Scale Data Processing: Help maintain and optimize backend services capable of handling high volume network telemetry and time series data. Experience integrating third party APIs, AI services, webhooks, and event driven workflows into production applications. Job Qualifications 5 to 8 years of professional software engineering experience. Experience in mentoring or leadership. Strong proficiency in Python (FastAPI or Django) and experience designing scalable RESTful APIs. Proficient in React and Redux with hands on experience building complex, data heavy web applications. Hands on experience using AWS to build and scale web applications, including containerization (Docker/Kubernetes). Systems Thinker: Strong ability to break down complex manual problems into deliverable, automated technical sub tasks. PLUS: AI Frameworks: Hands on experience deploying AI agents into production or proven exposure to tools like LangChain, LangGraph, or LlamaIndex. PLUS: Experience with anonymization techniques, data privacy and GDPR. PLUS: Domain: Understanding of network monitoring, telecommunications data, or performance testing. Benefits The company offers competitive salaries and robust, health and wellness focused benefits. We are committed to work life balance with paid time off when you need it. Other benefits include Employee Resource Groups, company sponsored events, educational support, mentorship programs, and career development resources. Employees are recognized through engagement programs and recognition awards. Compensation Range Base pay range: £50,000 to £80,000. Ziff Davis is an Equal Opportunity Employer. At Ziff Davis, Diversity, Equity, and Inclusion (DEI) has always been about fairness, equal opportunity, and belonging. DEI enables us to attract and retain the best talent, regardless of background or circumstances, while enabling our thousands of employees worldwide to thrive.

DevOps Cloud Engineer / Linux Systems Administrator - Working in a vibrant and fast-moving financial environment utilizing cutting edge technology with an excellent package and benefits. Candidates must come from a Linux Systems Administrators Background (as opposed to Software Engineering) and have recent Linux Administration experience and some previous Financial/Banking experience. Job Overview The position is for a Senior Cloud and DevOPS Engineer with STRONG Linux Systems Administration background to join a team maintaining existing and building new infrastructure, sharing knowledge and best practices. This is an incredibly varied role, covering all aspects of automation and management of low latency trading platforms both on premise and cloud as well as supporting clients with their implementation of The Company's Technology solutions. The successful candidate will be a key player within a small but highly technical infrastructure team. Responsibilities and Duties Develop and deliver automated multi-account global cloud infrastructure using infrastructure as code (Terraform). Enhance the automation of current processes both cloud and on-premise by using Scripting languages such as Ansible, Python and other automation tools. Work with the development team to take over and productionise new technologies and workflows. Collaborate with DevOps, development and infrastructure teams around architectural design and cloud best practices. Provide support to development and ops teams; this includes, build Servers, virtual environments and CI/CD pipelines. Assist the Linux team with deployment and maintenance of software/operating system/hardware using systems and configuration management tools (Ansible, Terraform). Systems capacity planning; creating and maintaining a scalable system for Dev, QA, Test and Production. Prepare and maintain up to date documentation. Required Skills/Experience 5+ years' experience architecting, building, and operating systems on multi-account AWS and GCP platforms. 5+ years DevOps - Strong CI/CD Pipelines, Deployment Strategies, Monitoring, automation. Experience with OpenShift / Kubernetes Strong Linux system administration (RedHat/CentOS or similar). 5+ years' experience with automation languages such as Python, bash, Ansible and Terraform. Experience with Build, Release and Version Control Systems such as Git, GitLab etc. Extensive proven experience with AWS network and security implementations and management. Experience administering and maintaining systems monitoring/alerting technologies (CloudWatch, Splunk, Nagios, Rapid7, Grafana etc.). Proven experience with containerisation - Docker/Kubernetes/ECS/ECR, etc., Database administration - MySQL, QuestDB, Elasticsearch. Experience with multiple cloud providers AWS and GCP - Azure a bonus. Demonstrate strong verbal and written communication skills. Competitive salary in the £110/130k range + Bonus + Benefits

Senior Full Stack Developer Application Deadline: 31 May 2026 Department: Data & Technology Employment Type: Permanent Location: Cheadle Reporting To: Chandradeep Tiwari Compensation: £70,000 - £75,000 / year Description Help build the world's first automated "airlock" for health research environments. At UK Biobank, we're developing new technologies that will help researchers securely work with some of the world's richest biomedical datasets. This role sits within a team building what is believed to be the world's first automated output checking system for trusted research environments using AI and cloud-native technologies to help ensure researchers can only export files regarded as safe. It's a genuinely greenfield engineering challenge, combining AI-driven approaches, secure cloud-native architecture, and modern full-stack development to support global health research. Can you do it? You'll play a leading role in the development, integration, and delivery of UK Biobank's Automated Output Checking System, helping shape a platform that supports secure research at a global scale. Working closely with architects, researchers, vendors, and internal engineering teams, you'll help design and build scalable integrations across research platforms and cloud-native services. This role combines hands on engineering, technical leadership, and modern platform design, requiring someone who can work confidently across backend services, frontend applications, infrastructure, APIs, and cloud environments. The solution applies AI techniques, follows cloud-native principles, and is being built from the ground up giving you the opportunity to influence both architecture and technical direction. Responsibilities You will be responsible for: Ensuring integration patterns align with enterprise architecture principles, including event driven, API first, and microservices based approaches. Designing and developing scalable, secure, cost efficient and maintainable full stack applications using Python (backend) and TypeScript (frontend), including relational and non relational database management systems on AWS. Developing responsive and accessible user interfaces using modern frontend frameworks (e.g., React with TypeScript). Developing and managing infrastructure using Infrastructure as Code (Terraform), ensuring reproducible and auditable environments; develop CI/CD pipelines to enable continuous integration, testing, and deployment. Ensuring systems are designed with observability, logging, and monitoring to support operational excellence. Qualifications To be successful, you will have experience in: Full stack software development within enterprise environments. Backend development using Python frameworks such as FastAPI, Flask, or similar. Frontend development experience using TypeScript and modern frameworks such as React or Vue. AWS services (e.g., IAM, S3, Lambda, ECS/EKS, API Gateway, Step Functions). Microservices architecture and distributed systems. Designing and consuming secure APIs with CI/CD pipelines and DevOps tooling. Working hours are 35 hours per week, Monday to Friday, with some flexibility, 2 days onsite with hybrid working available. Located in Greater Manchester (initially based in Stockport with a move to Manchester Science Park mid to late 2026). Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson so we can support you. Your Wellbeing Matters to Us Our wellbeing score on Indeed is rated as 77% (High), reflecting how people experience working here day to day. Colleagues often highlight a strong sense of purpose, supportive team culture, and the opportunity to grow. There's a real focus on learning, flexibility, and feeling valued, whether that's developing new skills, contributing ideas, or building a career within Data & Technology. Benefits 26 Days' Annual Leave - Plus Bank Holidays Holiday Buy Scheme Birthday Leave USS Pension Scheme Healthcare Cash Plan Enhanced Family Leave Cycle to Work Scheme Season Ticket Loan Professional Subscriptions £500 annual training budget Free On Site Gym Subsidised Canteen Lunches Free Car Parking Employee Discounts Portal Employee Assistance Programme Annual Flu Vaccination Life Assurance Cover

Job Title: QA Manager Location: London Company: BritBox International Reporting to: SVP of Technology and Opearations Contract Type: Permenant Job Purpose: We are looking for a senior QA Manager to lead and scale our Quality Assurance function. Reporting to the SVP of Technology and Opearations, you will own the QA strategy across BritBox International's software development lifecycle, manage a team of 5-10 QA professionals, and be accountable for the quality of every release we ship to millions of viewers worldwide. This is not a traditional QA management role. We are seeking someone who is deeply hands on with AI powered testing and automation. Experience with agentic AI frameworks, large language models in a testing context, and tools like Claude Code is a core requirement. You will be expected to drive a step change in how we approach quality by embedding AI driven automation into every stage of our testing lifecycle. Responsibilities QA Leadership & Strategy Define and own the QA strategy for BritBox International, aligning quality objectives with product and engineering goals. Manage, mentor, and grow a team of 5-10 QA engineers across manual and automated testing disciplines. Establish and track quality metrics (defect density, test coverage, escape rates, mean time to detect) and report on quality health to senior leadership. Act as the primary point of contact for all QA aspects of releases, coordinating resources across internal teams and external partners. Champion a quality first culture across the organisation, embedding QA best practices into Agile/Scrum delivery workflows. AI Driven Test Automation (Essential) Design and implement an AI first test automation strategy using agentic frameworks and LLM powered tools such as Claude Code, Playwright agents, and similar technologies. Build and orchestrate multi agent QA architectures - leveraging specialised AI agents for test planning, test generation, test execution, self healing scripts, and defect triage. Drive adoption of AI assisted test case generation, reducing manual effort and increasing coverage across web, mobile, and connected TV platforms. Evaluate, integrate, and maintain AI/ML tooling within the CI/CD pipeline, ensuring automated quality gates are robust and reliable. Stay current with the rapidly evolving AI testing landscape and bring forward innovations that give BritBox a competitive edge (e.g., autonomous test agents, agentic orchestration, self healing test suites). Technical QA & Delivery Oversee end to end testing across functional, regression, performance, and exploratory testing disciplines. Collaborate closely with engineering, product, and DevOps teams to integrate quality checkpoints into CI/CD pipelines. Define and maintain test automation frameworks using industry standard tools (e.g., Playwright, Cypress, Selenium) augmented by AI capabilities. Ensure comprehensive test coverage for multi platform experiences including web, iOS, Android, and connected TV (Roku, Fire TV, Samsung, Apple TV, etc.). Manage defect lifecycles, root cause analysis, and continuous improvement initiatives to reduce regression and production incidents. Process & Governance Develop and maintain QA documentation, including test strategies, test plans, and quality standards. Establish governance around AI tool usage in testing, including prompt engineering best practices, agent guardrails, and output validation processes. Drive continuous improvement through retrospectives, data driven insights, and industry benchmarking. Knowledge and Experience Must Have Experience in software quality assurance, with experience in a QA management or leadership role. Proven hands on experience with AI driven testing tools and agentic frameworks - including but not limited to Claude Code, LLM powered test generation, Playwright agents, or equivalent AI native QA tooling. This is a core requirement. Strong understanding of agentic AI architectures and how to apply them in a QA context (multi agent orchestration, self healing tests, AI assisted triage). Demonstrated experience building and leading QA teams of 5+ people in an Agile/Scrum environment. Deep expertise in test automation frameworks (Playwright, Cypress, Selenium, or similar) and CI/CD integration. Strong technical background with proficiency in at least one programming/scripting language (Python, JavaScript/TypeScript, or similar). Knowledge of prompt engineering and fine tuning LLM outputs for QA use cases. Experience with API testing, performance testing, and cross platform testing (web, mobile, connected TV). Excellent understanding of the software development lifecycle and modern delivery practices. Nice to Have Experience in the media, entertainment, or streaming/OTT industry. Familiarity with cloud infrastructure (AWS, GCP) and containerised environments. Experience with accessibility testing and compliance standards. Contributions to open source QA or AI testing tools/frameworks. ISTQB or equivalent QA certification. What we're looking for in a Person A forward thinking leader who sees AI not as a buzzword but as a practical, transformative tool for quality engineering. Someone who thrives in a fast paced, evolving environment and is comfortable with ambiguity. A strong communicator who can translate technical QA concepts for non technical stakeholders. A team builder who invests in growing people and fostering a collaborative, psychologically safe team culture. Genuine curiosity and a continuous learning mindset - particularly around emerging AI and automation technologies. Our Values Our BritBox Global Values not only represent our culture but also ensure that we have principles that shape everything we do. Defined by our employees, they are not just words on a page, but the foundation of how we work together, every day. Our values have been cascaded into specific behaviours, which are embedded into all of our people processes, including hiring, onboarding, performance evaluation and feedback. We are proud of our values and seek to hire people who resonate with them. This job spec is not exhaustive and may change from time to time in line with the evolving nature of a dynamic and growing business.

Location London Employment Type Full time Department Operations Institutional Fabric for the Digital Asset Market Founded in 2018, Talos provides institutional-grade trading technology for the global digital asset market, powering many of the major players in the crypto ecosystem. Our mission is clear: to advance the mass adoption of digital assets by seamlessly connecting institutions to the digital asset ecosystem. We are committed to building the most innovative and trusted platform in the world, supporting the entire trading lifecycle. At Talos, you'll find an environment that champions kindness and respect, values diverse perspectives, and upholds inclusivity at every turn. We believe every member of our team brings invaluable insights and abilities that drive Talos forward. In our pursuit of excellence, we foster a culture of trust, integrity, collaboration, and mutual growth. We are a tight-knit yet globally distributed team of highly experienced engineers and business leaders, with hubs in New York, London, Singapore, and Cyprus. Whether in-office or remote, you'll be part of a hybrid-friendly environment where your unique talents and insights will play a crucial role in building something extraordinary. TechOps Engineer (System Administrator) We are seeking a TechOps Engineer (Mid-Level System Administrator) to strengthen and scale our internal technology operations. This is a hybrid role combining system administration, cloud infrastructure, and engineering, with a strong focus on improving operational efficiency and reducing dependency on senior team members. The role sits at the intersection of support and engineering, enabling users and building scalable systems. You will take ownership of core infrastructure challenges, particularly across cloud identity, Linux environments, and infrastructure as code, while also driving improvements in developer experience (DevEx) and internal tooling. You will act as a force multiplier for the wider business: automating repetitive workflows, introducing self-service capabilities, and leveraging AI tools to enhance operational processes. You will work closely with engineering and internal stakeholders to remove bottlenecks, improve access management, and ensure systems are secure, scalable, and efficient. Responsibilities Manage day-to-day system administration tasks across cloud and SaaS environments Administer identity and access management (IAM) across multi-cloud platforms (e.g., AWS, GCP) Develop and maintain infrastructure using Infrastructure as Code (IaC) tools such as Terraform Maintain and troubleshoot Linux-based systems and core infrastructure services Monitor and optimise cloud spend, supporting FinOps initiatives and cost-efficiency strategies Manage hardware and software lifecycle, including procurement and asset tracking Support deployment and integration of AI tools and automation solutions to improve operational workflows Collaborate with engineering and TechOps teams to enhance developer experience (DevEx) Provide technical support, documentation, and mentorship to junior team members Identify and implement process improvements to enhance system reliability and efficiency Qualifications 4+ years of experience in a System Administrator, DevOps adjacent, or TechOps role Strong experience with cloud platforms and IAM (AWS, GCP, or Azure) Proficiency in Infrastructure as Code tools for IT Administration (e.g., Terraform) Solid Linux administration and troubleshooting skills Experience managing SaaS applications and identity providers (e.g., Okta, Google Workspace, MDM tools) Understanding of networking fundamentals and security best practices Experience or interest in AI tools and their application in operational workflows Ability to work independently, manage priorities, and operate effectively in a dynamic environment Scripting experience e.g., Python, Bash Bachelor's degree in a relevant field or equivalent practical experience preferred Check out these videos and links to learn more about Talos and our culture! Spotlight Article: Talos Snapshot by DRW Podcast: 2023 episode with co-founders Anton & Ethan Website: Explore Talos: Products, Investors, Team & More Case Studies: Real world examples of client solutions Awards: Talos Wins Hedgeweek Global Digital Assets Award 2024 Culture: Award-winning, Forbes-listed, low-attrition team Andreessen Horowitz re: Talos: "The company best suited to drive institutional adoption is one that understands traditional capital markets deeply and is forward-thinking enough to fully grasp the promise of crypto. Talos is that company." Benefits You will also enjoy a comprehensive array of competitive benefits, regardless of your location, within our warm, welcoming, and ambitious company culture. Our offerings include a monthly wellness credit for personal use, such as gym memberships, massages, or even a ski pass for your next holiday. Additionally, we provide paid lunches in the office, monthly fitness and evening socials to foster connections with colleagues, and annual offsite events to engage with the wider team. Get In Touch! Sounds compelling? We'd love to hear from you. Contact us directly. Also, check out other open positions listed on our website. Equal Opportunity Employer Talos is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Talos is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at . To protect the interests of all parties, Talos Trading, LLC and its affiliates ("Talos") strongly discourage submission of unsolicited resumes from any source other than directly from a candidate. Talos will NOT pay fees, commissions or compensation of any kind ("Fees") for any placement or hire resulting from the receipt of an unsolicited resume. Talos will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees and Talos reserves the right to contact, interview, and hire the candidate directly. Agencies, search firms, recruitment firms and similar organizations ("Agencies") must obtain advance written approval from Talos's internal recruiting team to submit resumes, AND must sign a valid fully executed placement agreement with Talos in order to be eligible to receive any Fees from Talos. Talos will not pay a Fee to any Agency that does not have such agreement in place. By submitting a resume without a signed agreement, you acknowledge and accept these terms. Talos Trading, . By submitting your application and pursuing job candidacy, you consent to the processing of your personal information in connection with our Applicant & Employee Privacy Notice.

Chubb is seeking an Analytics Pricing Product Owner to support the EMEA Analytics team and act as the bridge between actuarial pricing teams and the data and technology squads that build pricing tools, analytical platforms, and monitoring datasets. This role owns the product backlog for pricing analytics capabilities, defines requirements grounded in P&C insurance domain knowledge, and drives delivery through agile ways of working. The role is expected to be analytically capable and will contribute directly to pricing analyses alongside product ownership responsibilities. The individual will work with actuarial systems, rating factor data, and portfolio monitoring tools to support pricing and profitability decisions across the business. Key Responsibilities Product Ownership Define, maintain, and prioritise the product backlog for pricing analytics capabilities, ensuring alignment with business strategy, OKRs, and KPIs. Articulate a clear product vision and roadmap for pricing tools and analytical datasets in consultation with actuarial, underwriting, and data stakeholders. Translate business pricing requirements into well-defined user stories with clear acceptance criteria and measurable outcomes. Act as the primary liaison between actuarial pricing teams and delivery squads, gathering and clarifying requirements and maintaining ongoing stakeholder alignment. Participate actively in Agile ceremonies including Sprint Planning, Daily Standups, Backlog Refinement, Quarterly Release Planning (QRP), and Quarterly Business Reviews (QBR). Collect and analyse delivery metrics, adoption data, and stakeholder feedback to drive continuous improvement of pricing products. Make time bound, accountable decisions on product priorities and trade offs; communicate progress, risks, and challenges proactively to stakeholders. Identify and upscale obstacles that may hinder development progress to optimise squad workflow and productivity. Conduct pricing analyses using P&C actuarial data, including rate level monitoring, loss ratio analysis, exposure trending, and profitability reviews. Support the development and validation of rating factor studies, technical pricing models, and portfolio monitoring outputs. Work with data from actuarial and pricing systems to produce actionable insights for pricing actuaries, underwriters, and senior management. Contribute to the design of data specifications, field mappings, and data quality assessments for pricing and rating factor datasets. Assist in the design and validation of modelling datasets and analytical frameworks that support statistical pricing models (e.g., GLMs). Prepare clear, concise analytical outputs and presentations suitable for both technical and non technical audiences. Qualifications Required Qualifications Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related quantitative discipline. 2-4 years of experience in P&C insurance pricing, actuarial analysis, or a closely related analytical role. Demonstrated knowledge of P&C insurance pricing concepts, including rate adequacy, loss development, rating factors, and exposure bases. Proficiency in data analysis tools - SQL, Python, R, or advanced Excel/VBA - for querying and analysing large insurance datasets. Experience working with actuarial or pricing datasets and familiarity with insurance data structures (policy, claims, and rating factor data). Ability to translate complex analytical problems into clear business requirements and structured product backlog items. Strong written and verbal communication skills; able to work effectively across actuarial, underwriting, data engineering, and technology teams. Comfortable working independently in ambiguous environments with minimal day to day guidance. Preferred Qualifications Progress toward actuarial credentials (CAS or IFoA examinations). Experience with Agile delivery methodologies (Scrum, Kanban) and tools such as Jira. Familiarity with pricing platforms, rating engines, or commercial actuarial software (e.g., Guidewire, Radar, ResQ, Emblem). Experience with cloud data platforms or enterprise data warehouses (e.g., Snowflake, Azure, AWS). Experience with data visualisation tools (e.g., Power BI, Tableau). Prior experience in a product owner, business analyst, or product management capacity is advantageous but not required. Benefits Competitive salary & pension scheme Discretionary bonus scheme 25 days annual leave plus ability to purchase 5 additional days Hybrid working options Private Medical cover Employee Share Purchase Plan Life Assurance Subsidised gym membership Comprehensive Learning & development offerings Employee Assistance program Diversity & Inclusion Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.

Job Description Abtrace is solving one of the most complex, impactful problems in healthcare for a generation. The company is at an inflection point. Intelligent analysis underpins everything Abtrace does and is key to driving improvements for patients and healthcare workers. Abtrace The NHS is under immense pressure. Primary care teams deliver more care for a larger, longer-living population with limited time and workforce capacity. Improving health outcomes at scale requires healthcare to be more proactive, preventative, and operationally efficient. We must automate wherever possible, and thoughtfully digitise the rest. Abtrace supports over 500 primary care practices across the UK, serving 6 million people. We automate the delivery of measurements, vaccinations, blood tests, reviews, and other routine care. We improve healthcare outcomes, reduce operational burden, and create better experiences for both staff and patients. Healthcare professionals deserve software that is reliable, safe, modern, thoughtful, and well designed. Deep analytics and robust data infrastructure are the bedrock of that work - it's how we understand what's working, where opportunities to improve care are, and how we get better. Role Overview We're hiring our first dedicated Data Engineer to build the foundation our analytics and product teams depend on. Today, our data flows through a mix of warehouse tables and external sources that have evolved alongside the business. As we scale to support more practices and more sophisticated analysis, we need someone to shape this into a clean, centralised, well-governed platform - reliable, easy to build on, and trusted across the company. This is a senior individual-contributor role. You'll be hands-on day to day - writing pipelines, models, and infrastructure - while owning the architectural direction as we build the foundations of our data platform. Ideally you've watched data infrastructure outgrow its early foundations before, and you know what good looks like on the other side. Key Responsibilities Design, build, and maintain data pipelines that ingest from a variety of sources - third-party APIs, operational databases, and file-based exports - primarily in Python on AWS. Own and evolve our data warehouse architecture and shape where it goes next - assessing and moving toward a cleaner, centralised warehouse or lakehouse that's well-structured, reliable, and managed as code. Build a fast, safe path from "new data needed" to "available to analysts and the business." Our current release flow is reliable but slow; you'll streamline testing, releases, and the overall experience of adding and changing models. Implement transformation tooling so analytics logic is version-controlled, tested, and reviewable. We use dbt and intend to keep building around it. Make it easy and safe for engineers, analysts, and product teams to access the data they need, with appropriate controls and auditability in place. Establish monitoring, alerting, and data quality checks across critical pipelines. Partner with analytics, engineering, and product teams to make their work faster, safer, and more reliable - including code review, mentorship on engineering practices, and improving developer experience. Contribute to our data security and compliance posture in line with healthcare regulatory standards (ISO 27001, GDPR). Help define our longer-term data platform strategy as the team grows. What we're looking for Solid experience as a data engineer or backend engineer working on production data systems. Strong SQL and strong Python for data work, including with large or distributed datasets. Experience designing and operating data pipelines in production - ingestion, transformation, orchestration. Experience with cloud data platforms, ideally AWS. Hands-on experience choosing and standing up a warehouse or lakehouse (e.g., Redshift, Snowflake, Databricks, BigQuery, or comparable) is highly valued. Familiarity with modern transformation and orchestration tooling - dbt, plus orchestration such as Airflow, Dagster, Step Functions, or equivalent. Infrastructure-as-code experience (e.g., Terraform/CloudFormation/CDK) and a habit of managing data infrastructure the same way. You've worked somewhere that grew quickly and felt first-hand how data systems built for an earlier stage start to creak - and you know how to rebuild them without bringing the business to a halt. Comfort working in a small team where you'll make architectural decisions, not just execute them. Clear communication - you'll work with engineers, analysts, and clinical/operational stakeholders. Nice to Have Experience in healthcare or other regulated industries (ISO 27001, GDPR, HIPAA). Experience with data governance at scale: classification, masking, fine-grained (row/column-level) access control, and audited access patterns. Experience being an early data engineer at a startup. Background in data quality, observability, or platform engineering. Benefits Competitive compensation Opportunity to make a meaningful impact on healthcare outcomes Collaborative, inclusive culture focused on learning and innovation Ongoing professional development in emerging data technologies Flexible working with a commitment to work-life balance

Application Closing Date: 22 June 2026 Please note that in case of a high number of applications we might need to close the role earlier than the application closing date - so don't delay! We're looking for an experienced Senior Data Engineer to lead the design, development, and maintenance of data engineering solutions for our digital analytics platforms. You'll build robust data pipelines, and drive technical excellence as we work towards becoming the leader in technology within the travel industry. ABOUT OUR OFFER Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more. Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment. A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions. Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams. Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation. ABOUT THE JOB You'll lead the design and implementation of data pipelines and integration processes for customer and marketing data from digital sales channels, designing scalable ETL processes for analytics data, developing data integration solutions between various platforms, and implementing data transformation and enrichment processes. Establishing and maintaining data quality frameworks ensures the accuracy, completeness, and reliability of analytics data, as you develop automated data quality checks and validation processes, implement monitoring systems for data pipeline health, and create documentation and standards for data quality assurance. Collaborating with the Architect to implement technical designs means you'll translate architectural designs into implementation plans, provide feedback on technical feasibility of proposed solutions, and ensure implementations adhere to architectural standards. Working with cross-functional teams to understand data requirements enables you to deliver solutions that meet business needs, gathering requirements from analytics and business teams, translating business needs into technical specifications, and providing technical consultation on data engineering capabilities. You'll drive innovation in data engineering practices by researching emerging technologies, conducting proof of concept implementations, developing roadmaps for technology adoption and migration, ensuring compliance with data privacy regulations and security requirements, and overseeing the development of technical documentation for data engineering solutions. ABOUT YOU You have a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience in data engineering or software development, and a Master's degree in Computer Science, Data Science, or related field would be beneficial. Proven experience in data engineering and leading technical teams demonstrates your ability to guide engineers and deliver impactful solutions. You have strong data engineering skills including SQL and Python, with experience managing codebases, CI/CD pipelines, and code reviews. You have knowledge of cloud based data systems such as Google Cloud Platform and cloud storage solutions like Snowflake/AWS. You have deep understanding of data pipeline design, ETL processes, and data integration tools, combined with expertise in relational and NoSQL databases, that ensures you can build robust solutions processing millions of customer interactions daily. Your knowledge of data quality assurance methodologies, along with excellent problem solving, analytical, communication, and leadership skills, means you can deliver reliable analytics data and translate business needs into technical solutions. Professional certifications in cloud platforms, knowledge of web and mobile analytics technologies, experience with big data technologies such as Hadoop or Spark, understanding of data modeling and data warehouse concepts, containerization tools like Docker or Kubernetes, data privacy regulations including GDPR and CCPA, and agile methodologies would be beneficial. Experience in travel or e commerce industries would be advantageous. From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.

Lead Engineer (AI Platform) Application Deadline: 3 July 2026 Department: Technology Employment Type: Full Time Location: London Reporting To: Noel King Description Imagine catching criminals before they strike-that's exactly what Napier's AI powered platform does! By analysing transactions and customers in real time, Napier AI's technology empowers financial institutions to spot suspicious activity, like money laundering, and stops it in its tracks. Napier AI's technology works like a digital detective, combining AI with smart analytics to outthink criminals and protect people's money from becoming criminal proceeds. It's not just about stopping crime-it's about making the financial world safer and more trustworthy for everyone. Collaboration, innovation and wonderful people are just some of the reasons to bring your career to Napier. Our culture is shaped by our core values that promote equality, creativity, and opportunity in everything we do. After successfully securing PI investment to fuel our ongoing growth and to further invest in our AI products, we are currently building out our Tech Hub-this is a super exciting time to join Napier as we expand. Overview of the role Lead Engineer The Lead Engineer will play a key role in building and shaping a new AI focused engineering capability within Napier. This is a hands on leadership role within a smaller, high impact team, focused on extending Napier's AI functionality and applying AI and machine learning models to detect and prevent financial crime. You will be responsible for both contributing directly to the development of AI driven systems and leading technical direction within the team. This role offers an opportunity to build something from the ground up in a relatively greenfield environment, helping define the technical approach, tooling, and engineering practices as the team grows. Depending on experience, the role can flex between a strong Technical Lead or a Team Lead, combining hands on engineering with leadership responsibility. Your day to day: Lead Engineer Designing and implementing AI driven features and services within Napier's platform Contributing hands on to development, including coding, debugging, and testing Leading or mentoring a small team of engineers, supporting their growth and output Working closely with Product, Architecture, and Data teams to translate AI use cases into production systems Helping define and evolve engineering standards, tooling, and development practices within the AI team Supporting integration of AI/ML models into scalable, production grade systems Diagnosing and resolving functional and performance/scalability issues Participating in technology selection and architectural decisions Supporting recruitment and onboarding of new team members as required Providing input on resourcing decisions and team growth Do you have what it takes? Knowledge/experience At least 5-7 years of commercial experience in a senior or lead engineering role Strong experience building and delivering production grade systems in a product or SaaS environment Experience working in smaller companies or teams, with a pragmatic and adaptable approach Experience leading engineers or acting in a technical leadership capacity Experience working in Agile delivery environments with a continuous improvement mindset Exposure to AI/ML systems, data driven platforms, or analytics products Understanding of how to integrate models or data driven features into production systems Knowledge of DevOps and modern software engineering practices Skills These skills are essential to be successful in this role. Strong hands on programming experience in Go or Python (experience in both is beneficial) Experience building distributed, microservice based systems Familiarity with cloud platforms (AWS, Azure, or GCP) Understanding of containerisation and orchestration (Docker, Kubernetes) Experience with data pipelines, streaming technologies, or event driven systems (e.g. Kafka beneficial) Strong analytical and problem solving skills with the ability to adapt quickly to changing requirements Ability to balance hands on development with technical leadership responsibilities Collaborative team player with strong communication and stakeholder management skills Comfortable working in evolving environments and helping shape direction and structure Optional additional areas Machine learning frameworks or AI model development Financial crime, fraud, or risk related domains Data processing and analytics platforms Performance engineering and scalability optimisation Observability tools such as Grafana and Prometheus Exposure to modern front end technologies (React, Angular) Experience working with distributed or remote teams Why Napier? Comprehensive private healthcare through AXA covering optical, audio & dental. 25 days of annual leave + bank holidays, your birthday and a wellness day Dedicated pension plan through Aviva Life Insurance 4x your annual salary Enhanced Maternity & Paternity leave Income protections policy Work from anywhere for up to 1 month Access to our employee wellbeing programme. Gym membership discounts. Flexibility in work schedules and locations, ensuring a work life balance. This role can be fulfilled either with a hybrid approach or fully in office - depending on your preference. An open and flexible culture that allows you to work in the best way for you. Please note applicants must have the right to work in the United Kingdom. We are unable to offer sponsorship or take over sponsorship of employment visas at this time.

Who we're looking for We are looking for a talented, creative, and positive team player to join our highly skilled cross functional engineering team and lead the development of our data platform. As part of this work, you'll be working closely with the engineering, product and growth team to build the foundations of how we ingest, process, store and query all the data we receive each day and use it to drive all of Runna's data and analytics needs (including machine learning). You will work closely with our founders and CTO to help shape the future of Runna, who will support you all along this exciting journey. Leading the data platform, you'll help build the running app in the world, pioneering the way that people train and use fitness apps As a Data Platform Engineer, your role will include: Architect, build, test, and deliver a state of the art data platform to support the data needs of our rapidly growing company Design and implement scalable and efficient data pipelines, ETL processes, and data integration solutions to collect, process, and store large volumes of data within AWS Implement data transformation logic to cleanse, validate, and enrich raw data for analysis and consumption by downstream applications. Further our integration with Mixpanel to enable advanced analytics and data tracking, providing insights into user behaviour and product performance. Adopt a data platform mindset by designing and developing data pipelines that prioritise security, scalability, uptime, and reliability Mentor and guide team members on data engineering best practices and the use of AWS and Mixpanel. Collaborate with cross functional teams, including product, growth, engineering, and business stakeholders, to ensure the data platform aligns with company goals and drives value. Continuously evaluate and adopt new technologies and tools to enhance the data platform's capabilities and performance. Communicating the advantages and limitations of technology solutions to partners, stakeholders, and team members What experience we're looking for If you don't quite meet all of the below skills, we'd still love to hear from you as we might be able to tweak the role slightly or offer you a position better suited for you. You can apply directly below or contact us if you're still unsure. Your key experience: 5+ years in a Data Platform role or similar 3+ years working with AWS You've led the development of key projects within a data platform team Experience with quantitative methods and approaches to solving problems gained through various experiences or studies (e.g., Computer Science, Mathematics, Physics, Engineering degree or equivalent practical experience). Your key skills: Experience with delivering data pipelines within AWS. Proficiency with Python programming Familiarity with AWS Redshift or similar cloud DWH platforms such as Snowflake or BigQuery Proficiency with SQL and experience with relational databases (e.g. Amazon Redshift), NoSQL databases (e.g. DynamoDB), and graph databases (e.g. Amazon Neptune) Experience with infrastructure as code tools (e.g. CloudFormation, Terraform) and CI/CD pipelines. Experience with observability and monitoring tools (e.g. Cloudwatch, Datadog) Analytical and detail oriented, with a commitment to producing high quality work A pragmatic mindset, with excellent communication and collaboration skills Able to work within a highly skilled engineering team in a fast paced, iterative environment Enthusiasm for our ways of working which include: Iterative development, continuous deployment and test automation Knowledge sharing, pair programming, collaborative design & development Shared code ownership & cross functional teams Bonus points if you: Have experience with Serverless architectures Experienced with job orchestration frameworks (e.g. Airflow, MWAA on AWS) MLOps knowledge and grasp of basic concepts Have a strong interest in the health/fitness technologies