110 jobs found

About Us Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Our tools automate from travel bookings to expenses, invoice processing, and more. We aim to power real work with real impact. We're trusted by more than 10,000 companies worldwide, including Wise, On Running, Breitling, and Fabletics. We're tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem. Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work. At Perk, we're driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team. Visit to learn more. Overview This critical role sits at the intersection of Data Engineering and Data Analytics, focusing on transforming raw data into high-quality, trustworthy, and easily consumable datasets and visualisations for business users. The ideal candidate will possess a strong background in SQL, dbt, data modelling, ETL/ELT principles and experience with modern cloud data platforms. Core Responsibilities Develop and maintain transformation best practices in ELT pipelines: design, develop, and maintain efficient and scalable workflows using tools like dbt to transform raw data loaded into our data warehouse (Snowflake) into clean, ready-to-use data models. Data modelling: implement best-practice data modelling and software engineering techniques to ensure data structures are optimised for performance, accuracy, and ease of use in reporting and analytical applications (e.g. CI/CD, testing, lineage). Data quality and testing: write comprehensive data quality checks, tests, and monitoring scripts to ensure the accuracy, completeness, and reliability of all transformed data assets. Establish and maintain documentation for all data transformations and models. Collaboration: work closely with Data Analysts and business users to understand their reporting needs and optimise data models to support analytical use cases. Collaborate with Data Engineers on data ingestion strategies and platform optimisation. Performance optimisation: tune and optimise SQL queries and data models to reduce latency and improve the performance of our data warehouse and downstream applications. Tool adoption: champion the adoption of modern data stack tools and practices (e.g. Git, CI/CD). Build scalable, compelling data visualisations in Looker that can be used by large teams. Required Qualifications Experience: 3+ years in a data-focused role (e.g., Analytics Engineer, Data Analyst, BI Developer). SQL mastery: expert-level proficiency in writing and optimising complex SQL queries. Data transformation tooling: hands-on experience with dbt (Data Build Tool) or similar data transformation frameworks. Data warehousing: experience with cloud-based data warehouses such as Snowflake, Google BigQuery, or Amazon Redshift. Data modelling: solid understanding of data warehousing concepts, ETL/ELT principles, and dimensional modelling techniques. Version control: proficiency with Git for collaborative development and version control. Familiarity with reporting/BI tools like Looker. Preferred Qualifications Python expertise for automation, integration, and orchestration Experience with semantic layers Experience with orchestration tools like Airflow Knowledge of modern software engineering practices applied to data (e.g., modularity, code review, testing) Our Working Model Our vision is an IRL-first approach to work, with the team working together in-person 3 days a week. This role requires you to be based within commuting distance of our London or Barcelona hub. We believe in meeting in real life to improve connectivity, productivity, and creativity. We can help with relocation for certain roles. English is the official language at the office. Please submit your resume in English and include an updated portfolio and/or resume. Equality and Recruitment Perk is a global company with a diverse customer base, and we are an equal opportunity employer. You're welcome at Perk regardless of how you look, where you're from, or anything else that makes you, well, you.

Overview Blackstone is the world's largest alternative asset manager, managing $1.1 trillion in assets across multiple investment vehicles. The Blackstone Technology & Innovations (BXTI) team builds systems to support risk management, efficiency, and transparency across the firm and its portfolio companies. Job Summary AVP - Liquid Credit Technology. The Liquid Credit Technology team develops modern fixed income asset management systems (portfolio, order, execution, trade processing) to support LCS, which manages $114B in AUM across diverse fixed income portfolios. Key Technologies C#, React/Angular, Typescript, FastAPI, Python, Terraform, SQL, AWS ECS, AWS Lambda, AWS DynamoDB, AWS SNS/SQS, CI/CD (GitLab Runners), Snowflake. Responsibilities Use cloud native technologies and services to build scalable, reliable, and secure applications. Build, support, and integrate web applications, microservices, and data pipelines with high code quality. Write automated unit, integration, and deployment tests. Use CI/CD tooling (e.g., GitLab Runners) to build and deploy code across environments. Apply modern development methodologies; use JIRA for project tracking. Participate in technical design, code reviews, and agile ceremonies; troubleshoot defects. Provide technical support, automate repetitive tasks, stay updated with industry trends. Mentor and train junior developers; contribute to a collaborative team culture. Potential requirement for securities licenses if client facing responsibilities arise. Qualifications At least 3years of proven software development experience in relevant industry. Proficiency in C#, JavaScript (React and/or Angular), Typescript, relational/NoSQL databases, and cloud technologies (preferably AWS). Experience designing, developing, and operating scalable microservice architectures and RESTful APIs. Strong object oriented programming background and ability to develop secure, maintainable code. Excellent problem solving, communication, and teamwork skills. Self starter with entrepreneurial attitude, willingness to mentor, and thrive in fast paced environments. Experience with automation testing and performance testing. Fixed income front office trading systems experience preferred. Bachelor's degree in Computer Science, Engineering, or related field. Equal Opportunity Employer Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training.

About Us the company is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We're not just making better software. We're making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for the company, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains. Role Full-stack developers with a strong front-end focus, responsible for building the Superhighway control plane and the golden-path tooling engineers use to ship. This is an AI-enabled role: you'll work agentic-first, using an agentic harness (Claude or similar) to drive implementation, not as an occasional assist. You're as comfortable orchestrating agents to generate, validate, and test code as you are writing it yourself. The role pairs modern front-end development (React) with working knowledge of Python services and APIs. Key Responsibilities Develop and maintain front-end components using React for the control plane and audit/compliance/cost views Build responsive, scalable, high-quality UI features for self-service data exploration and platform interaction Drive implementation through an agentic harness: prompt, steer, and validate agent-generated code rather than hand-cranking it Contribute to backend development (Python/FastAPI) where required Build templated archetypes and golden-path kits that accelerate onboarding and development for other teams Collaborate with UX/UI to ensure accurate implementation of designs Ensure performance, security, and maintainability, with a testing-first mindset Required Experience Strong experience with React and modern JavaScript/TypeScript 6+ months hands-on with agentic editors (Claude, etc.) and a clear understanding of agent risks and mitigation Experience building web applications with API integrations Working knowledge of Python (FastAPI a plus) for backend/API development Familiarity with REST APIs and microservices architecture Strong focus on acceptance testing and architecture testing (unit tests enforcing standards: line limits, design patterns, imports) Experience with version control and CI/CD practices Proactive communicator who unblocks themselves and collaborates across a matrix organisation (no quiet handle-crankers) Desirable Experience Experience integrating AI/ML services (LLM APIs, embeddings, agent frameworks) AWS native development and deployment experience Policy-as-code expertise Snowflake or data-product experience (producing and consuming) Data visualisation libraries (charts, dashboards) Authentication and RBAC implementation Experience building developer platforms, golden paths, or internal tooling At the company, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at

Senior Data Engineer Who We Are Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, and Poland. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI. We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter - We engineer data to life . The Role This is a hands on senior engineering role, not an architecture only seat and not a support function. You'll be responsible for technical direction, platform design and architectural decision making. You'll design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane. What You'll Be Doing Lead Platform & Architecture Design Own the end-to-end architecture of modern, cloud native data platforms Design scalable data ecosystems using data mesh, data products, and data contracts Make high impact architectural decisions across ingestion, storage, processing, and access layers Ensure platforms are secure, compliant, and production grade by design Build Modern Data Platforms Design and deliver cloud native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer oriented data access Develop High-Performance Pipelines Build and optimise batch and real time pipelines Work with streaming and event driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker Technical Leadership & Quality Set engineering standards, patterns, and best practices across teams Review designs and code, providing clear technical direction and mentorship Raise the bar on data quality, testing, observability, and operational excellence What We're Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large-scale data platform architectures Strong data modelling skills and architectural decision making ability Comfortable balancing trade offs between performance, cost, and complexity Data Platform Experience Built and operated large scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats Engineering Discipline Infrastructure-as-code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts - able to challenge assumptions and guide clients toward better outcomes Comfortable mentoring senior engineers and influencing technical culture Why Simple Machines You'll work on interesting, high-impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.

A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Engineer You'll be part of either our Data & AI Delivery team or the Commercial data team, acting as a technical leader for data engineering across the organisation. These teams play a critical role in enabling secure, scalable and high performing data products that underpin data driven decision making across British Airways. What you'll do: Act as a technical leader for data engineering best practice across delivery teams Lead the design, build, test and deployment of secure and scalable data pipelines Maintain and operate data products, ensuring availability, performance and resilience through monitoring and incident management Provide assurance on code quality and automation used to manage data flows Lead service reviews, health checks and root cause analysis to improve reliability and reduce operational overhead Set and embed standards for data processing documentation and version control Support and coach engineers on engineering patterns, coding standards and automated testing Lead agile ceremonies, delivery planning and retrospectives to support continuous improvement Define and improve developer experience by working with data product teams to resolve data processing issues Line manage Senior Data Engineers and support their development Participate in an on call rota to support live data products What you'll bring to British Airways: Strong hands on technical leadership in data engineering Deep understanding of cloud based data ingestion, processing and storage techniques Expert knowledge of data processing, testing and monitoring practices Strong understanding of enterprise data management, optimisation and security at scale Confidence influencing technical direction and engineering standards Strong stakeholder engagement skills across business and technical teams Ability to break down complex problems and work effectively in ambiguous environments Delivery focused, accountable and pragmatic mindset Collaborative approach with a focus on capability building and knowledge sharing Your experience: Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert in data processing, testing, and monitoring practices and frameworks. Experience supporting production data systems and resolving operational issues in CI/CD processes and agile development workflows. Expert in information security principles and access control within data environments. Degree or equivalent training in Computer Science, Engineering, or a related discipline is desirable. What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.

At the company's Oscar-winning Technology team, innovation is at the heart of what we do, whether this be developing new techniques, new ideas or creative new ways to tell our clients' stories. Underpinning all of this is a long tradition of research, technology and development - from engineering our bespoke software solutions to gaining early access to bleeding-edge technology and forging vibrant partnerships with leading academic and scientific institutions. the company combines talent and technology to bring life to everything we create. Driven by creativity and inspired by the future, we set out every day to reframe the possible. About the Role This is a new, hands-on role within our team. You'll play a vital part in building the future of our cloud-first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high-availability automation workflows and building resilient big data pipelines that scale compute across the business. You will provide cloud and systems support for developers building complex agentic applications, while driving DevOps best practices to ensure our cloud services are built for the future. You'll drive the evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective. What you'll do: Build highly available automation workflows and orchestrators that enable distributed builds, cross-platform compute scaling, and deployment of AI agents and data-heavy models Design and implement event-driven automation and self-healing cloud systems that proactively detect, diagnose, and remediate infrastructure anomalies Architect robust cloud security frameworks, identity management, and automated governance baselines across our global footprint Design and optimise big data infrastructure for handling large metadata datasets and media assets, whilst identifying opportunities to reduce infrastructure spend without compromising performance Essential Skills: Experience designing high-availability, multi-environment cloud infrastructure using IaC (ideally Terraform) and container orchestration Proven track record in the design and management of cloud-based data systems, such as Snowflake or BigQuery A strong software background (ideally Python) with a proven track record of architecting scalable services and APIs Ability to build, scale, and secure distributed automation pipelines (like GitLab CI) focusing on performance, caching, and testing frameworks Experience supporting engineering teams, championing DevSecOps best practices, and collaborating with tech leadership Strong communication skills, with the ability to bridge the gap between infrastructure engineering and development team workflows Nice-to-have Skills: Experience designing setups that span cloud providers and local physical servers Knowledge of virtualisation of service applications Advanced monitoring experience using tools such as Datadog, Prometheus, or ELK. A professional-level cloud certification Production experience managing complex Kubernetes clusters and high-scale Docker environments. Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large-scale datasets Accessibility Statement Our London studio is fully accessible, with step free entry, accessible toilets on all floors, and quiet spaces available. We are committed to supporting disabled colleagues and providing an inclusive workplace for everyone.

About Us Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies - including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats. Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at . Role Summary We are seeking an Anaplan Developer to design, build, and improve planning systems across Sophos' Sales and Finance Organizations. This role will partner closely with business stakeholders, analytics teams, data engineering, and IT to shape Sophos' planning ecosystem. What You Will Do Design, develop, and maintain Anaplan models supporting Territory and Quota Planning as well as Incentive Compensation Management Lead model building efforts end to end, including: requirements gathering, design, development, UAT, training, and production support Utilize Anaplan architecture best practices (DISCO, ALM, UX, performance) Improve existing models with a focus on performance, usability, auditability, and long-term scalability Identify feature gaps or planning process inefficiencies within the sales organization Design and oversee multi-model, multi-workspace architectures that scale with the business Define end-to-end data flows, integrations, and system dependencies Partner with IT and Data teams to design governed integrations (e.g., Salesforce, Snowflake, ERP) Own model lifecycle management, versioning, and technical governance Evaluate new Anaplan capabilities and drive architectural evolution What You Will Bring 3+ years of experience delivering enterprise Anaplan solutions Prior experience in sales operations, finance, business systems, or a related field Proven track record as a Product Owner and/or Developer for complex business systems Deep expertise in Anaplan best practices (DISCO, ALM, UX, performance optimization) Experience designing and governing enterprise integrations (Salesforce, Snowflake, ERP, data platforms) Exceptional executive communication and stakeholder management skills Certified Anaplan Developer or Anaplan Solution Architect (Preferred) Experience in high-growth, transformation, or post-merger environments (Preferred) Familiarity with agile product delivery at enterprise scale (Preferred) Experience with Salesforce and data visualization platforms such as PowerBI and Tableau (Preferred) Proficiency in SQL (Preferred) £50,000 - £84,000 a year In the UK, the base salary for this role ranges from 50,000 to 84,000 GBP. In addition to base salary, we offer additional compensation including bonus eligibility and a comprehensive benefits package. A candidate's specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. What's Great About Sophos? Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. Our people - we innovate and create, all of which are accompanied by a great sense of fun and team spirit Employee-led diversity and inclusion networks that build community and provide education and advocacy Annual charity and fundraising initiatives and volunteer days for employees to support local communities Global employee sustainability initiatives to reduce our environmental footprint Global fitness and trivia competitions to keep our bodies and minds sharp Global wellbeing days for employees to relax and recharge Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We're proud of the diverse and inclusive environment we have at Sophos, and we're committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos' data protection practices, please consult our Privacy Policy Cybersecurity as a Service Delivered Sophos

Company Description Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We're also an award-winning employer reflecting how employees are at the heart of Version 1. We've been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We're focused on our core values; using these we've seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. Job Description As a Front-End Developer, you'll collaborate closely with Product Owners, Business Analysts, Technical Architects, UX/UI Designers and other team members to understand business requirements and drive the solution design and development of our digital products. Your role involves ensuring that the code aligns with these requirements and adheres to our architectural and front-end coding standards. Performance optimisation is key, and you'll employ best practices to enhance our applications. Additionally, you'll stay proactive by suggesting upgrades and updates to maintain modern security standards and adhere to evolving best practices in development. Your contributions extend beyond individual projects; you'll help enrich our shared component libraries by crafting modular and reusable components. Furthermore, as a valued member of our team, you'll provide mentorship to junior members and actively share your expertise across the wider team. Responsibilities Experience working closely with key stakeholders across the engineering team, including Architects, Product Owners and UX designers understanding and demonstrating how written requirements translate into a technical solution. Develop interfaces for web and mobile applications and develop high-quality, efficient, reusable code and libraries for future use. Collaborate with other team members to formulate and articulate end-to-end architecture and (non-) functional design Responsible to take ownership of the Frontend digital and software platform Ensure the use of Version 1's's Agile process and framework Instil champion best practices within the team, including TDD, code reviews and pair programming Mentor and bring on junior members of the team. Design flexible and configurable software components Produce well designed, testable, maintainable, secure and efficient code Qualifications You will have an extensive background in front-end development with significant experience working with TypeScript and React. Any further experience with Next.js/Angular/Vue.js is beneficial Experience with mobile development frameworks like React Native is beneficial. Experience with GraphQL, preferably using Apollo Client with React for efficient data fetching and state management. Experience in Unit Testing with Jest Continuous Integration experience (Docker) A passion for coding and keeping up to date with new technologies frameworks and techniques Extensive experience in an Agile environment Exceptional communication skills to interact with clients and onsite and near-shore development teams Ability to prioritise and handle several tasks at once with multiple deadlines will be important Experience in back-end integration and any experience with backend technologies like Java/Python is an advantage. Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. Flexible/remote working, Version 1 is tremendously understanding of life events and people's individual circumstances and offer flexibility to help achieve a healthy work life balance. Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme. Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Reward schemes including Version 1's Annual Excellence Awards & 'Call-Out' platform. Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

Analytics EngineerApplyremote type: Remotelocations: CEY BO: MAD MAtime type: Full timeposted on: Posted Todayjob requisition id: R-29354Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Analytics Engineer Customer Service Data Team Crawley, UK or Madrid, Spain Help shape the future of data, analytics and AI We're looking for an Analytics Engineer to join our Customer Service Data team and help transform data into trusted insights that drive business decisions.In this role, you'll bridge the gap between data engineering and analytics, building scalable data models, semantic layers and automated data pipelines that power reporting, dashboards and next-generation AI solutions. You'll work with modern technologies including Snowflake, Power BI, dbt and AI-enabled analytics platforms to create a single source of truth for our business. What you'll do Design and develop analytics-ready data models and semantic layers in Snowflake. Build scalable data transformations and automated data quality processes. Create trusted datasets and standardised KPIs that support consistent reporting. Partner with Data Engineers, BI Developers and business stakeholders to deliver meaningful insights. Drive data governance, documentation and business-friendly data definitions. Support self-service analytics and AI-powered reporting capabilities. Improve data reliability, performance and automation across the analytics ecosystem. What you'll bring Experience in Analytics Engineering, Data Engineering, BI Development or a similar data-focused role. Strong SQL skills and hands-on experience with Snowflake . Experience building semantic models and analytics solutions in Power BI . Understanding of data warehousing concepts, including fact and dimension modelling. Experience developing and maintaining data pipelines, transformations and testing frameworks. Familiarity with version control and modern data development practices. Interest in AI, automation and advanced analytics. Strong communication and collaboration skills. Why join us? This is an opportunity to work on high-impact data initiatives that support a global healthcare business. You'll play a key role in building the foundations for advanced analytics, self-service reporting and AI-driven decision-making while working with modern cloud technologies and a highly collaborative team. If you're passionate about turning data into insight and shaping the future of analytics, we'd love to hear from you. Who we are : We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways. How we work : When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.To find out more about Healthineers' specific businesses, please visit our company page here.As an equal opportunity employer, we welcome applications from individuals with disabilities. Data Privacy : We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile where you can upload your CV. Setting up a profile also lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started. Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site. To all recruitment agencies : Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes. As an equal opportunity employer, we welcome applications from individuals with disabilities.

Power BI Developer 6-Month contract - Inside IR35 - market rate London based - hybrid working - 3 days a week onsite Banking sector Role: To design, develop and support enterprise-scale Power BI semantic models, dashboards and reporting solutions for Risk Reporting, with particular focus on semantic model architecture, automated refresh processes, partitioning, governance and performance optimisation. Responsibilities: Designing and developing enterprise-grade Power BI reports, dashboards and scorecards. Building and maintaining semantic models using dimensional modelling best practices. Developing advanced DAX calculations, calculation groups and optimisation techniques. Implementing Incremental Refresh and semantic model partitioning strategies. Managing large-scale datasets and optimising refresh and query performance. Developing and supporting Python-based processes used to trigger semantic model refreshes and processing. Integrating Power BI with orchestration and scheduling frameworks. Implementing Row-Level Security (RLS), governance controls and access management. Supporting Power BI Premium/Fabric capacity management. Troubleshooting refresh failures, gateway issues and performance bottlenecks. Implementing CI/CD pipelines and deployment automation for Power BI assets. Skills & Experience: Essential Expert Power BI Desktop and Power BI Service experience. Extensive experience developing enterprise semantic models. Advanced DAX, semantic modelling and performance tuning skills. Strong understanding of VertiPaq, composite models, aggregations and query optimisation. Hands-on experience implementing Incremental Refresh and dataset partitioning. Experience using XMLA endpoints, Tabular Editor and DAX Studio. Strong SQL expertise and dimensional modelling knowledge. Experience with large-scale analytical platforms. Strong Python scripting experience supporting automated semantic model refresh processes. Experience with PowerShell, Power BI REST APIs & administration. Experience implementing DevOps and CI/CD pipelines. Knowledge of Power BI Premium and/or Microsoft Fabric. Excellent communication & interpersonal skills A proactive, motivated approach. The ability to operate with urgency and prioritise work accordingly managing large workloads and tight deadlines Strong decision making skills, the ability to demonstrate sound judgement Preferred Risk Reporting or Financial Services experience. Familiarity with Snowflake data consumption from Power BI. Experience with Control-M or enterprise scheduling platforms. Exposure to Azure Data Platform technologies and dbt.

We are seeking an experienced Salesforce Marketing Cloud Solution Architect for an initial 6-month contract (Outside IR35) to lead the design, architecture, and technical execution of enterprise multi-channel marketing automation solutions. In this role, you will bridge the gap between business strategy and technical delivery, serving as the trusted technical authority translating complex marketing objectives into scalable, high-performing architectures across the Salesforce Marketing Cloud ecosystem. Key Responsibilities Lead end-to-end technical architecture and solution design for Salesforce Marketing Cloud implementations, migrations, and enhancements. Design robust data models and seamless integration patterns connecting SFMC with Core Salesforce (Sales/Service Cloud), Data Cloud and enterprise data warehouses (Snowflake, BigQuery, etc.). Guide implementation teams, developers, and platform admins on best practices for Automation Studio, Journey Builder, SSJS, AMPscript, and SQL queries. Partner closely with marketing operations, enterprise architects, and business leaders to align technical strategy with core business KPIs. Establish data governance, security protocols, API management, and campaign execution standards across the platform. What We're Looking For 4+ years of hands-on experience architecting and implementing Salesforce Marketing Cloud solutions at scale. Familiarity or hands-on exposure to Marketing Cloud Next features, including Data Cloud integrations, unified customer profiles, and Agentforce / generative AI capabilities in marketing. Deep proficiency in AMPscript, SSJS, SQL, REST/SOAP APIs, and SFMC data extension schemas. Advanced knowledge of Journey Builder, Automation Studio, Contact Builder, Mobile Connect/Push, and Intelligence (Datorama). Solid understanding of Marketing Cloud Connect (MCC), webhooks, and ETL data pipelines. Excellent ability to explain complex technical concepts to non-technical business stakeholders. Salesforce certifications preferred

Join us at Barclays as a Data Modelling Vice President (VP). We're looking for a senior Data Modeller to define, lead, and evolve the conceptual, logical, and physical data architectures that power our strategic data products across BUK. In this role, you'll set the modelling direction for multiple domains, ensure semantic and regulatory alignment, and translate complex business and regulatory needs into high quality, scalable data models. You'll work closely with Product, Engineering, Architecture, and Controls teams to build models that are robust, reusable, and ready for enterprise scale implementation. To be successful as a Data Modelling VP, you should have experience with: Leading the design and governance of enterprise grade conceptual, logical, and physical data models across large financial domains. Defining modelling standards, metadata structures, lineage requirements, and CDE frameworks that meet audit and regulatory expectations. Driving modelling quality, versioning, semantic clarity, and cross domain consistency at scale. Partnering with engineering teams to shape physical schemas, optimise performance, and guide workload placement across cloud platforms (AWS, Snowflake, Databricks). Influencing senior stakeholders across Product, Controls, Architecture, and Engineering to align on business rules, semantic definitions, and strategic priorities. Some other highly valued skills may include: Expertise in SQL, complex schema design, and performance optimisation in cloud environments. Strong understanding of data governance, control frameworks, lineage, cataloguing, and regulatory traceability. Experience shaping canonical models, data dictionaries, and enterprise wide semantic standards. Exceptional communication and storytelling skills to translate complex models into clear narratives for senior technical and non technical stakeholders. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job specific technical skills. This role has the option to work from the following locations: Northampton, Knutsford or Glasgow. Purpose of the role To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision making by analysis and solving complex problems. Accountabilities Acquisition and collection of data from various sources, including internal databases, external datasets, and real time feeds. Performing data cleaning and pre processing tasks to ensure data quality and suitability for model development. Design and implementation of data management strategies for model maintenance and future development. Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation. Monitoring model performance in real time and identify any potential issues or biases. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and elevate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Job Description Purpose of the role To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision making by analysis and solving complex problems. Accountabilities Acquisition and collection of data from various sources, including internal databases, external datasets, and real time feeds. Performing data cleaning and pre processing tasks to ensure data quality and suitability for model development. Design and implementation of data management strategies for model maintenance and future development. Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation. Monitoring model performance in real time and identify any potential issues or biases. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and elevate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave. Join us at Barclays as a Data Modelling Vice President (VP) We're looking for a senior Data Modeller to define, lead, and evolve the conceptual, logical, and physical data architectures that power our strategic data products across BUK. In this role, you'll set the modelling direction for multiple domains, ensure semantic and regulatory alignment, and translate complex business and regulatory needs into high quality, scalable data models. You'll work closely with Product, Engineering, Architecture, and Controls teams to build models that are robust, reusable, and ready for enterprise scale implementation. To be successful as a Data Modelling VP, you should have experience with: Leading the design and governance of enterprise grade conceptual, logical, and physical data models across large financial domains. Defining modelling standards, metadata structures, lineage requirements, and CDE frameworks that meet audit and regulatory expectations. Driving modelling quality, versioning, semantic clarity, and cross domain consistency at scale. Partnering with engineering teams to shape physical schemas, optimise performance, and guide workload placement across cloud platforms (AWS, Snowflake, Databricks). Influencing senior stakeholders across Product, Controls, Architecture, and Engineering to align on business rules, semantic definitions, and strategic priorities. Some other highly valued skills may include: Expertise in SQL, complex schema design, and performance optimisation in cloud environments. Strong understanding of data governance, control frameworks, lineage, cataloguing, and regulatory traceability. Experience shaping canonical models, data dictionaries, and enterprise wide semantic standards. Exceptional communication and storytelling skills to translate complex models into clear narratives for senior technical and non technical stakeholders. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job specific technical skills. This role has the option to work from the following locations: Northampton, Knutsford or Glasgow. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the Top Workplace in the area.

Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep experts enable our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're an award winning employer reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, €350/£300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing in the UK by GPTW We're a core values driven company, we hire people who share our values, and we reward those who display and foster them, it's deeply embedded within our DNA. Invest in us and we'll invest in you! Job Description You may have been working as a Test Engineer, Software Engineer in Test, or Test Analyst who writes Java the way most people write emails - fluently, without thinking twice. You are as comfortable designing and building an automation framework from scratch as you are executing a test plan, and you take genuine pride in the quality of the test code you produce, not just the coverage it achieves. You will be part of an agile delivery team helping clients achieve meaningful business transformation, embedded alongside developers and product owners with a shared responsibility for quality. This is not a role for someone who treats automation as an optional extra - Java based test engineering is at the core of what you will be doing, and the expectation is that you bring real depth to it. You may also get involved with: Designing, building, and maintaining Java based automation frameworks from the ground up, producing test code that is structured, reusable, version controlled, and maintainable to the same standard as production code Delivering automated test coverage across functional, cross browser, API, integration, and acceptance testing layers, with overnight regression runs that the team can rely on Building and extending API test suites using frameworks such as Karate or REST assured, validating service contracts, data integrity, and integration behaviour Defining and executing test strategies, plans, and scripts across agile delivery cycles, with clear traceability from requirements through to test coverage Supporting development teams to write and automate tests that guide development, including contributing to test driven and behaviour driven approaches where appropriate Performing front end cross browser functional testing, exploratory testing, system integration testing, and user acceptance testing as the engagement requires Accurate defect recording, monitoring, and root cause analysis, feeding quality data back into the team to drive continuous improvement Reviewing and improving test environments, CI/CD pipeline integration, and test processes to maintain high quality standards across the delivery lifecycle Providing test estimates and contributing to planning sessions with a realistic, evidence based view of testing effort Qualifications What we are looking for: Strong, demonstrable Java skills - this is the core requirement. You should be able to build, review, and own Java based test automation frameworks, not just work within one someone else has built Proven experience designing and implementing automation frameworks using Java, with hands on knowledge of tools such as Selenium, Playwright, Cypress, or Karate - and the judgement to pick the right one for the context Solid experience delivering automated test coverage across functional, cross browser, API, integration, and acceptance testing, ideally with overnight regression pipelines as part of your normal delivery rhythm Practical experience with API testing using Java based frameworks, including the ability to write contract tests, validate request/response behaviour, authentication flows, and data consistency across integrated services Comfortable working across both automated and manual testing disciplines - you know when to automate and when not to, and you can do both well Experience integrating automated tests into CI/CD pipelines and maintaining quality gates that give the team genuine confidence in each release Worked in agile or scrum delivery environments, with an understanding of how testing fits within sprints and how to keep pace with a fast moving development team Clear communication skills, with the ability to report on test progress, coverage gaps, and defect trends in a way that is useful to both technical and non technical stakeholders Resident in the UK for five or more years with no more than 30 days per year out of the UK to meet Security Clearance (SC) eligibility, or currently holding Security Clearance Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme Flexible/remote working: Version 1 is tremendously understanding of life events and people's individual circumstances and offers flexibility to help achieve a healthy work life balance Financial Wellbeing initiatives including Pension, Private Healthcare Cover, Life Assurance, Financial advice, and an Employee Discount scheme Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat Reward schemes including Version 1's Annual Excellence Awards & "Call Out" platform Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes And many more exciting benefits drop us a note to find out more. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive, and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity. We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact your recruiter at Version 1. We will consider all requests carefully, respectfully and confidentially. Video links:

Role Overview 6 month fixed term contract. The Cloud and Infrastructure team will design, provision, and support Azure cloud infrastructure to enable global business growth. Focus on secure, resilient Azure solutions with emphasis on networking, deployment automation, and adherence to enterprise standards. Key Responsibilities Azure Networking Architecture: develop and maintain virtual networks, routing, firewalls, private endpoints, load balancers, and API Gateways; produce and review low level designs for new and existing services. Deployment & Automation: deliver repeatable, compliant infrastructure using Terraform, Azure DevOps pipelines, and Git based workflows; support blue/green and canary deployment patterns. Connectivity Troubleshooting: diagnose and resolve complex network and service to service connectivity issues across IaaS, PaaS, and hybrid environments using Network Watcher, NSG flow logs, packet capture, and log analytics. Security & Compliance: implement and enforce Azure security best practices including identity and access management, network segmentation, encryption, policy governance, and threat protection; ensure alignment with organisational standards and regulatory requirements. Operational Excellence: monitor, optimise, and support cloud infrastructure, ensuring high availability and performance; contribute to incident response, root cause analysis, and continuous improvement. Collaboration & Documentation: work closely with architects, developers, and security teams to deliver integrated solutions; produce clear technical documentation, including LLDs, runbooks, and standards for BAU support teams. Qualifications Strong expertise in Azure networking (VNets, routing, firewalls, private links, load balancing). Experience producing low level designs and implementing enterprise grade architectures. Hands on proficiency with infrastructure as code and automated deployments (ideally Terraform and Azure DevOps). Deep troubleshooting capability for network and connectivity issues across cloud environments. Understanding of building, deploying, and managing API Gateways. Strong knowledge of Azure security controls, governance, and compliance frameworks. Familiarity with monitoring, logging, and diagnostic tooling. Solid scripting skills (PowerShell, Bash, or Python). Nice to Have Experience with observability tools like DataDog. Understanding of Zero Trust Architecture. Snowflake experience. EEO Statement Willis Re is committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories.

At Framestore's Oscar-winning Technology team, innovation is at the heart of what we do, whether this be developing new techniques, new ideas or creative new ways to tell our clients' stories. Underpinning all of this is a long tradition of research, technology and development - from engineering our bespoke software solutions to gaining early access to bleeding-edge technology and forging vibrant partnerships with leading academic and scientific institutions. Framestore combines talent and technology to bring life to everything we create. Driven by creativity and inspired by the future, we set out every day to reframe the possible. About the Role This is a new, hands on role within our team. You'll play a vital part in building the future of our cloud first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high availability automation workflows and building resilient big data pipelines that scale compute across the business. You will provide cloud and systems support for developers building complex agentic applications, while driving DevOps best practices to ensure our cloud services are built for the future. You'll drive the evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost effective. What you'll do: Build highly available automation workflows and orchestrators that enable distributed builds, cross platform compute scaling, and deployment of AI agents and data heavy models Design and implement event driven automation and self healing cloud systems that proactively detect, diagnose, and remediate infrastructure anomalies Architect robust cloud security frameworks, identity management, and automated governance baselines across our global footprint Design and optimise big data infrastructure for handling large metadata datasets and media assets, whilst identifying opportunities to reduce infrastructure spend without compromising performance Essential Skills: Experience designing high availability, multi environment cloud infrastructure using IaC (ideally Terraform) and container orchestration Proven track record in the design and management of cloud based data systems, such as Snowflake or BigQuery A strong software background (ideally Python) with a proven track record of architecting scalable services and APIs Ability to build, scale, and secure distributed automation pipelines (like GitLab CI) focusing on performance, caching, and testing frameworks Experience supporting engineering teams, championing DevSecOps best practices, and collaborating with tech leadership Strong communication skills, with the ability to bridge the gap between infrastructure engineering and development team workflows Nice to have Skills: Experience designing setups that span cloud providers and local physical servers Knowledge of virtualisation of service applications Advanced monitoring experience using tools such as Datadog, Prometheus, or ELK. A professional level cloud certification Production experience managing complex Kubernetes clusters and high scale Docker environments. Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large scale datasets Accessibility Statement Our London studio is fully accessible, with step free entry, accessible toilets on all floors, and quiet spaces available. We are committed to supporting disabled colleagues and providing an inclusive workplace for everyone.

We're looking for a curious, rigorous, problem hungry platform engineer who codes to help Ashby scale to the next level. Ashby builds software that lets talent teams streamline hiring, and we need an engineer who can build the reliable, secure, and fast infrastructure that supports this growth. We have notable customers such as Notion, Linear, Shopify, and Snowflake. Our ARR is in the tens of millions and we are growing more than 100% year over year with over 2,500 customers. About the Role and How We Work I'm Colin, Head of EMEA Engineering, and I've led engineering teams in startups for many years. Our infrastructure is mission critical and continuously evolving. As a Platform Engineer at Ashby you will own end to end projects, ship code with minimal oversight, and maintain a secure, simple environment for our product team to build in. Responsibilities Optimize our dynamic DSL to SQL compiler and develop tools for developers. Create automated guardrails for the security and privacy of customer data. Help our team ship features fast through canary deploys, gradual rollouts, and feature flags while keeping complexity manageable. Define SLOs with the engineering team and implement corresponding SLIs. Ensure all external services support retries and circuit breakers. Implement the infrastructure needed for an event driven architecture and a data warehouse. Qualifications Strong coding skills and a passion for building engineered solutions. Experience building or maintaining large scale distributed systems. Comfort with SQL, data models, and performance tuning. Proactive self management: ability to deliver projects independently with clear documentation. A mindset that values security, reliability, and high performance. Why You Should or Shouldn't Apply Apply if you enjoy deep problem solving, taking ownership, and writing impact driven code. Apply if you value engineering autonomy, can handle technical risk, and like to work with minimal process interference. Do not apply if you prefer strict top down decision making, dislike coding, or require heavy guidance on delivery. Technology Stack TypeScript (frontend & backend), Node.js, React, Apollo GraphQL. Postgres, Redis. Datadog and Sentry on a 100% cloud based (AWS) infra. Benefits Competitive salary and equity. 10 year exercise window for stock options. Unlimited PTO, encouraged for use. Minimum 12 weeks fully paid parental leave. Generous equipment, software, and office furniture budget. £100 per month education budget. Health insurance fully covered in the US; supplemental health insurance covered outside the US. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.