Dangote Industries Limited

Are you ready to make your mark in the world of Formula 1? At Formula 1, we are passionate about delivering the world's greatest sports and entertainment spectacle leaving a positive legacy wherever we race. Innovation has always been at the heart of what we do ever since our first Grand Prix in 1950. Now, more than 75 years on, the sport remains a pioneer, developing technologies that have made a significant impact on society beyond the track. Everything you see on screen or at an event comes via our passionate and dedicated people. Whether its engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications there is always a talented team working to maximise the potential of the sport. Role Overview We are looking for an experienced Category Manager to join our Procurement team on a 16-month fixed term contract, with responsibility for managing the organisation's IT spend and supplier portfolio. The role will lead sourcing, contract and commercial negotiations and supplier performance management relating to F1's software, SaaS and hardware requirements. The successful candidate will work closely with stakeholders across IT, Information Security, Finance, Legal and project teams to support new sourcing activity, contract renewals and supplier performance. This is a hands on role suited to a commercially minded procurement professional who can operate independently in a fast paced environment. Main Responsibilities and Duties Support procurement activity across a broad IT portfolio, including Software, SaaS, Cloud Services, Hardware and Cyber Security. Develop and maintain the IT procurement category strategy, identifying opportunities to improve value, manage risk, support sustainability and simplify the supplier landscape. Partner with IT, Information Security, Finance, Legal and project teams to support technology projects, supplier selection and contract renewal strategies. Manage end-to-end sourcing activity, from market analysis, supplier research and RFx processes through to commercial evaluation and supplier recommendation. Lead commercial and contractual negotiations that secure value, protect F1's interests and align supplier commitments with business requirements. Review and negotiate IT related contract terms and conditions, covering Framework Agreements, Statements of Work, End User Licence Agreements and Data Processing Agreements. Review and approve purchase order requisitions, helping ensure spend is appropriately governed and supplier queries are resolved efficiently. Support the practical adoption and effective use of AI platforms within the procurement team, helping improve ways of working where appropriate. Support contract management, supplier due diligence and renewal planning across F1's recurring IT spend. Contribute to the continuous improvement of procurement processes, tools and ways of working across the wider procurement function. What Are We Looking For Prior to the role it is essential that you demonstrate: Proven experience in Procurement, with a focus on IT related categories. Strong understanding of sourcing and contract management across Software, SaaS, Cloud Services, and Hardware. Confidence reviewing and negotiating IT contract terms, licence agreements and supplier commercial proposals. Demonstrable experience in negotiating commercial terms across a range of IT Software, SaaS, Cloud and Hardware agreements. Strong understanding of data protection principles, and familiarity with reviewing Data Processing Agreements. Demonstrable experience leading procurement projects, RFx processes and supplier negotiations. Strong commercial acumen with the ability to assess risk, challenge costs and negotiate favourable contractual outcomes. Analytical and problem solving capability, with confidence interpreting commercial and financial data to support decision making. Clear communication and stakeholder engagement skills, with the ability to build credibility across technical and non technical teams. Ability to manage multiple priorities, adapt quickly and deliver results in a fast paced environment. Good understanding of procurement governance, supplier due diligence, contract lifecycle management and procurement best practice. Proficiency in utilising AI platforms, Microsoft Excel and ERP systems (experience with Microsoft Dynamics would be beneficial but not essential). Experience Prior to the role it would be essential that you have: Minimum of 3+ years' experience in IT procurement, category management or a comparable commercial role. Experience managing and negotiating both contractual and commercial terms across key IT spend areas. MCIPS preferred, or working towards. Personal Qualities Excellent communication, with strong written & presentation skills, and an engaging style. Excellent interpersonal and stakeholder management skills and ability to challenge difficult stakeholders when appropriate. To be self motivated, work under own initiative and as part of a team. Why join the force behind the sport? Joining F1 means becoming part of a team that values innovation, collaboration and personal growth. We offer a dynamic work environment where ideas are heard, and employee contributions truly make an impact. We seek to recruit, develop, and retain the most talented people to play their role in accelerating the future of the sport. As a member of the F1 team, you will be able to access our amazing benefits: Private Healthcare scheme. Dental Care. 4 x Grand Prix Paddock passes per season. Enhanced maternity/paternity leave and other family planning policies. A free staff shuttle service running to and from surrounding trains stations near to Biggin Hill. Free healthy snacks in our offices. Subsidised canteen in Biggin Hill, serving breakfast and lunch. 25 days annual leave and 8 Bank Holiday days, plus a Christmas period closure. Opportunities to develop and request training for your role via our in house Learning and Development team. Discount on F1 merchandise. Discount at F1's experiences including F1 Arcade and F1 Drive. Perkbox benefit portal and more. Recruitment Fraud Warning We only communicate with candidates through email addresses. We will never contact you via personal email accounts, messaging apps, or request payment as part of our recruitment process. If you receive suspicious communication claiming to be from our talent team, please report it to . Division Corporate

Marshmallow in London is seeking a Pricing Data Scientist to own pricing models and drive data-driven decision making across the pricing team. You will work with pricing data and deploy models in APIs to influence real-time pricing and profitability. You will collaborate with engineers and MLENG to integrate models, explore external data sources, and support the launch of new products. The role offers hybrid working in London and opportunities for growth.

We're on a mission to make migration easy. We started building Marshmallow in 2017. Since then, we've grown from 3 to 700+ people, gained unicorn status, raised £140M over three funding rounds, turned profitable, insured millions of drivers and lent millions in car loans. But we're only just getting started. Our goal is to become one of the largest financial services providers in the world. Over the next 10 years we'll grow exponentially, not only by scaling our existing products, but also by building new ones. To achieve our goals we need incredibly ambitious, commercially driven people who never settle for 'good enough'. Marshmallowers are hungry for autonomy and ownership, and would rather improve than coast. Everyone raises standards and has an impact, with a focus on collective success over self-interest. We've created an environment where curious, tenacious people win and grow together. If that sounds motivating, this could be the place for you. Pricing at Marshmallow This role will sit in the Pricing Team, reporting into the Pricing Data Science Manager. The team is responsible for managing our loss ratio, underwriting footprint, broker optimisation and growth targets, proving integral to driving the business forwards. But you've probably read that all before! So what's new? We work in a very different way to most pricing teams that you might be familiar with. Everyone in Pricing has the potential to make significant contribution to the business, taking ownership, moving fast, innovating and delivering changes to our rates at high frequency. We don't just churn out GLMs all day. We build & deploy exceptional in-house pricing data science models using the latest modelling techniques. You'll work alongside other Pricing Data Scientists & Analysts pushing innovative pricing projects, whilst also being able to work with the wider Data Science community on modelling customer behaviour, fraud & MLENG enhancements. We work alongside a bunch of amazing engineers who ensure we can implement our decisions quickly. We also have access to huge amounts of data. We don't just mean your standard policy, claims and quote data. Our engineers spend their lives building APIs to third parties so that we know more about our customers than any of our competitors. All of this means that you'll have access to as much data as you can handle, the freedom to be creative, the backing of senior leaders to make decisions, and the ability to see your ideas implemented rapidly. And on top of all of that, we're a pretty fun group to hang around with! What you'll be doing Developing a deep understanding of Marshmallow's quote, policy and claims data and use this to derive insights that can be used to enhance our pricing. Owning one of the strategic initiatives of the pricing team, such as supporting our expansion plans or protecting our renewing customers. Communicating & getting buy-in for your plans to heads of & directors cross functionally. Conducting claims analysis and claims modelling using SQL and Python. Conducting price optimisation analysis/modelling using Python. Building and deploying models in APIs for use in real time pricing. Working with other members of pricing to recommend changes and monitor their impact. Identify new sources of external data that enable us to refine our view of claims risk, and conduct analysis to quantify their value. Working directly with our Engineering & MLENG functions to implement pricing proposals. Providing analytical support in relationships with reinsurers, regulators and other partners. Working within the wider data science community on longer term R&D projects. Providing pricing support for the launch of multiple new products. Potential to manage a small team of pricing analysts & pricing data scientists, overseeing both the technical aspects of their work as well as their career development. Who are you? Proactive: You drive growth by identifying & delivering new opportunities Modeller: You use your DS expertise to build innovative best in class models Commercial: You directly use your models as tools to deliver timely real world impact Curious: You aren't satisfied with 'That's just how it is'; you immediately investigate further Owner: You don't just pull existing levers - you own end to end transformation in your area Opinionated: You generate your own opinions & pitch to others in an open & honest way Explainer: You can communicate complicated concepts in a simple way to non-experts Networker: You build and maintain strong relationships throughout the business What skills are we looking for from you? Ability to interrogate data and conduct pricing analysis within SQL & Python/R Ability to build GLMs, GBMs and other claims models within Python/R At least 3 years of experience working in a data driven (ideally commercial) role Perks of the job Flexible working: Spend 2-3 days a week with your team in our collaborative London office. Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Mental wellbeing support - Access therapy and mental health sessions through Oliva Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) Tech scheme - Get the latest tech for less Plus all the rest; 25 days holiday, pension, cycle to work scheme, monthly team socials and company-wide socials every month! We are able to offer visa sponsorship for this position. Our Process We break it up into 3 stages: Initial screening call with a member of the TA team (30 mins) Past experience & technical discussion with a couple of the team (90 minutes) A culture interview with a senior stakeholder to check that your work style fits our processes and values, and vice versa (60 mins) Diversity of thought We know the best ideas come from having different perspectives in the room - and we're committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we'd encourage you to apply.

Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job Description About the role: Join us as a Software Engineer in our critical Scam Prevention team. This is a high impact engineering role with a strong product focus, dedicated to solving complex, real world adversarial problems to directly protect our global customer base. How we work: The Scam Prevention Team The Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting edge machine learning, real time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations. What will you be working on? This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end to end ownership of projects focused on: Building and refining critical controls to prevent Wise customers from scams. Drive Backend and Frontend for our scam prevention and detection systems - you will be working 80% of the time on a backend and 20% on the frontend. Delivering a tangible, real world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world class money transfer product. What do you need? Engineering Expertise: Professional experience with Java or other JVM based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, JavaScript / TypeScript. System Design & Operation: Proven experience designing and operating CI/CD pipelines, distributed, and concurrent systems. Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data driven decisions with the customer in mind. Data Proficiency: Experience with relational and non relational databases, including query optimisation and designing resilient schemas. Code Quality: Exceptional fundamentals, sharp problem solving ability, and a commitment to Test Driven Development and best coding practices. Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). Interested? Find out more: How we work - a practical guide Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering - What do we offer: Starting salary: £87,500 - £111,000 Wise Benefits Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

The role We are looking for a Product Lead to run our Data Products & Insights group. You will manage a small team of product managers, including the Product Manager who owns our new data lake, and keep hands on product work of your own: the foundations that let teams across Wise build with GenAI in production. What you'll be doing Lead the team Set the strategy for Data Products & Insights, covering data foundations, analytics and GenAI Manage 1 to 2 product managers: coach them, develop their craft, and help them find their own route to impact Represent the group's work to leadership and partner teams, and bring company context back to the team Guide the Product Manager's who own our data lake and analytics platforms, helping them build product craft and stay close to the teams who depend on them. Stay accountable for the group's delivery, including the data lake migration, reviewing progress and clearing blockers without taking the work over Hands on Work with teams across Wise to find where GenAI helps customers most, and prioritise those opportunities with them Build the shared foundations for experimentation and production use: retrieval, orchestration, evaluation and guardrails Define how we evaluate AI outputs, with measures for accuracy, latency, customer satisfaction and cost Work with Legal and Compliance so regulation (EU AI Act, DORA, MAS FEAT) is built into the product lifecycle from the start Qualifications Experience shipping Data or AI products with measurable customer outcomes, ideally including a data platform implementation or migration A technical foundation in data engineering, data platforms or ML and AI systems, with working SQL and the depth to hold architecture conversations with engineers Experience managing or mentoring product managers while staying close to the product work yourself Working knowledge of LLM application patterns, such as retrieval and agents, and what it takes to run them reliably in production Clear communication: able to bring stakeholders along and explain decisions without jargon Comfort working in a regulated environment, in partnership with legal and compliance colleagues What will set you apart Experience in financial services, payments or another regulated industry Hands on familiarity with the modern data stack, for example Iceberg or Delta, Snowflake or Databricks, and dbt Familiarity with AI governance frameworks such as the EU AI Act, DORA or MAS FEAT

Wise is seeking a Product Lead to run the Data Products & Insights group. You will manage a small team of product managers, including the PM who owns our data lake, while staying hands-on to build the foundations that empower GenAI in production. You will define strategy for data foundations, analytics and GenAI, mentor 1-2 PMs, and partner with leadership to align delivery with business goals. This role blends leadership with hands-on product work.

Mission Statement The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. About the Team We're looking for an Analytics Engineer II to join Spotify's Platform Central Data (PCD) squad, a cross-functional Data Engineering and Analytics Engineering team within the Platform Mission. You'll help build and maintain trusted analytical models, metrics, and data products that power developer productivity, platform health, and leadership decision making. Working closely with Data Engineers, Product, Engineering, and Platform partners, you'll translate platform signals into reliable, well modeled data assets that help Spotify ship faster and safer. What You'll Do Build and maintain analytical data models using dbt (or similar SQL based transformation frameworks) in BigQuery for a broad set of stakeholders Build and operate reliable data pipelines using SQL, with a focus on testing, observability, and CI/CD Help define and evolve key metrics for platform health, developer productivity, and ML/AI platform adoption Partner with Data Engineers on upstream pipelines and collaborate with Product, Engineering, and Data Science to scope and deliver insights Improve data quality, performance, and cost efficiency across pipelines and models, including troubleshooting and backfills Contribute to dashboards and self serve data products that enable better decision making across teams Follow and contribute to data quality, testing, and documentation practices across the analytics layer Participate in a fair support rotation for key datasets, pipelines, and analytical products Who You Are You have 2+ years of experience in analytics engineering, data engineering, or a related field You have strong SQL skills and experience with data modelling You are experienced with dbt (or similar SQL based transformation frameworks) and a cloud data warehouse such as BigQuery, Snowflake, Redshift, or Databricks SQL You are familiar with workflow orchestration tools such as Airflow, Dagster, Prefect, or Flyte You care about data quality, reliability, and testability You are comfortable working with BI/visualisation tools such as Looker or Tableau You communicate clearly with both technical and non technical partners You are able to prioritize and deliver in a fast moving environment You have experience with platform or developer productivity data, experimentation, or ML/AI metrics Where You'll Be This role is based in London or Stockholm. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.

Dangote Industries Limited is looking for an Analytics Engineer II to support the Platform Central Data team. You will work on building analytical models and maintaining reliable data pipelines that enhance productivity. This role requires strong SQL skills and experience with dbt, ensuring high data quality and performance. The position offers flexibility, allowing for partial remote work.

Wise invites a Senior Backend Engineer to join the Partner Experience team in London. You will help build the systems that let enterprise partners go live faster and manage daily operations in one place, including the Partner Portal, onboarding, and access controls. You'll design new systems from scratch, ship frequently, and collaborate with PMs, designers, and adjacent teams to align with partner needs and security requirements.

Wise is seeking a talented quantitative developer to join our Treasury Markets Data Science team. You will own the quantitative infrastructure powering FX pricing, risk, and trading systems in production, while expanding your scope into traditional quant areas. You will work on a Python-first quant platform, ensuring real-time curve construction, multi-instrument pricing, risk analytics, and trading strategies are reliable and scalable for Wise Platform customers and financial partners.

Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. Job Description We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects. Your work will have a direct impact on Wise's mission and millions of our customers. About the Role You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume-serving everyone from retail customers sending money abroad to tier 1 banks via Wise Platform. The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform. We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy-all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered-while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain. What you'll own Python microservices that run quantitative models in production Monitoring, alerting, and reliability for real-time pricing and risk systems Shared quant libraries used across multiple services CI/CD pipelines, deployment and operational excellence Incident response and root cause analysis for production issues Where you'll grow Real-time curve construction (yield curves, FX forwards, vol surfaces) Pricing models for new instruments and products Trading strategy development and optimisation Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis) Backtesting frameworks and model validation Customer behaviour modelling, pricing strategy and product launch support Collaborating with product teams to translate quantitative insights into customer-facing decisions Qualifications What we're looking for 4+ years building and maintaining production Python systems Strong experience with microservices, databases, and production infrastructure Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) Quantitative background-maths, physics, engineering or finance-you can read a model and reason about correctness Experience with testing, monitoring, and debugging complex systems under load A product mindset-you think about who uses your systems and why Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers It's a bonus if you are familiar with FX or financial markets experience Term structure modelling, stochastic calculus or Monte Carlo methods Interest rate curve bootstrapping Algorithmic execution experience Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.) We're people without borders-without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you're passionate about learning new things and keen to join our mission, you'll fit right in. Also, qualifications aren't that important to us. If you've got great experience, and you're great at articulating your thinking, we'd like to hear from you. And because we believe that diverse teams build better products, we'd especially love to hear from you if you're from an under-represented demographic.

Dangote Industries Limited is seeking a TechOps Engineer to support employees in UK&I offices and retail stores, with flexibility to travel between corporate and store environments. You will balance day to day tech support with project work, ensuring devices and networks stay current and reliable. Ideal candidates have 3-5 years in IT, ITIL knowledge, and experience with Jira/Confluence, Windows/macOS deployment, and strong problem solving skills.

WHO ARE WE LOOKING FOR: We are looking for a TechOps Engineer that enjoys supervising and responding to support requests and will provide technical support to all employees in our UK & Ireland offices & retail stores and thrive by working in a diverse and dynamic environment that is ingrained with sports. You have a consumer centric mentality, are self starter, and are a teammate. You will have an appreciation of how technology services affect the business day to day, understanding business priorities and needs. You excel in driving local initiatives with internal and external parties. You balance handling project related tasks as well as technical tasks in collaboration with other technology teams for diverse solutions and renewed outcomes. You will be flexible with splitting time between the retail and corporate environments and will also require travelling to our UK & Ireland stores if needed. WHAT WILL YOU WORK ON: Daily activities will include handling day to day technology support operations across our retail stores and corporate offices. Team representation for projects in cooperation with our EMEA/Global teams. Ensure technology equipment stays in sync with the latest standards and manage technical debt. Responsible for imaging/configuring Windows Laptops & Apple MAC devices in line with business standards for new starters inc device replacements. Ensure asset management and stock audits are proactively completed with business, and leaders. Communicating technology concepts and terminology to all individuals of all technical abilities so they have a clear understanding. Ensure regular operation checks and activities are scheduled and completed. Identify trends in support and service requests to improve services and response times. Review open incidents & problems daily in collaboration with the team. Support office re-fits / upgrades and enhancements. Provide end-to-end support for retail technology environments (POS systems, payment solutions, handheld devices, store apps) Ensure high availability and performance of systems supporting retail stores. Working on ensuring inventory and stock levels are proactively managed & Act as an initial technology point of escalation for the local business. Assist in quality assurance reviews of service partners we engage with. Manage and nurture relationships with Nike Technology, the local business, and leaders. WHO WILL YOU WORK WITH: You will report to the TechOps Manager for London. You will partner with our wider technology teams across different countries including our EMEA headquarters in The Netherlands and Global teams in USA. You will be working in a small team locally, but part of a larger EMEA team. You will work closely with local business functions to align technology plans and services in support of the business direction. Experience: 3-5 years of hands on experience as an IT professional Project Management: Familiar with project management principles and ITIL practices. Agile Methodology: Experience with Agile practices and tools such as Jira & confluence. Client Hardware & Software: Ability to diagnose, troubleshoot, and repair client hardware (desktops, laptops, mobile devices, peripherals) and software/OS (Windows, MacOS, iOS). This includes retail technologies like POS devices, digital signage and A/V equipment. OS Deployment: Confident in configuring and deploying Windows 10 and Mac OS devices inc iPhones. Apple iOS Knowledge: Good understanding of Apple devices (iPads, iPhones). A/V Equipment: Comfortable with A/V setups and configurations, ensuring smooth operation of audio-visual equipment inc experience with Zoom and experience with the Zoom platform and licensing. Have exposure to AppSpace in with digital content updates. Networking & Servers: Working knowledge of network technologies (TCP/IP, wireless), server hardware, and physical connectivity including patch panels, cabling, and initial device setup. Wireless AP Technologies: Experience troubleshooting and installing wireless access points (APs) PoE/Network-powered Devices: Understanding of PoE (Power over Ethernet) and network-powered devices like phones, and another A/V tech. Enterprise Equipment: Confident in troubleshooting and installing enterprise network devices, including network switches, servers, routers, and UPS systems. Third-party Collaboration: Ability to liaise with third-party contractors, elevate issues, and follow up to ensure timely resolution. Work Style: Independent, structured, and proactive with strong problem solving and analytical skills. Support store infrastructure including Network connectivity (LAN/WAN, Wi Fi) & End user devices (tills, tablets, scanners). Support new store openings, refurbishments, and tech rollouts. Participate in technology transformation initiatives across retail and ensure standards and global policies are followed. Deadline to apply - 17th July 2026. No Relocation Support provided for this role.

Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job Description About the role We are looking for a senior software engineer with a background in stream processing. Our Stream Processing team is part of the Data Squad. We provide the tooling and infrastructure that allows Wise to process transfers in real time. Our stream processing platform enables services to do calculations and make decisions in milliseconds, powering our validation, fraud detection and anti money laundering checks. We also provide the services responsible for data movement into our data lake. This enables product teams and analysts to make data driven decisions. How we work We operate on a strong belief in automation, programmatic implementation, and reusable design. We're looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the platform tribe. As we grow the Stream Processing team, we need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use. We're looking for an engineer with relevant experience who can analyse complex requirements and deliver simple solutions to help our teams achieve our mission with speed and confidence. What will you be working on? You'll be working hands on designing, architecting, implementing and operating our systems on AWS. In addition, you will also help our product engineers use our tooling and systems, laying down best practises and rules. You should have a deep understanding of stream processing and the related technologies, being able to build and support the tooling to create pipelines that are used for real time decision making in the milliseconds range. Apache Flink Apache Iceberg K8s operators Kafka Streams What do you need? We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you! Experience with Flink and/or Kafka Streams Experience building production code with Java and Spring Experience with infrastructure automation tools Experience building and operating distributed systems at scale Interested? Find out more: How we work - a practical guide Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering - What do we offer: Starting salary:£87,500 - £111,000 + RSUs Wise Benefits Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job Description We at Wise Platform aim to be the infrastructure that powers the world's money by connecting banks, financial institutions, and enterprises to our next-generation payment solutions. You'll own and shape critical API infrastructure that serves partners such as Google, Deel, Ramp, and Agoda. Within Wise Platform, the KYC Experience team owns the end-to-end onboarding and identity verification capabilities that make those partner integrations possible. We build the APIs and services that let our partners onboard their customers compliantly and seamlessly, setting the standard for what world class embedded KYC looks like. We're looking for a product-focused Senior Software Engineer to join our team in London, helping build seamless KYC and Onboarding products for our partners. You'll work in an autonomous cross functional team alongside other engineers, product, analytics, compliance and operations, with full autonomy to shape the direction of the Wise Platform KYC experience. What will you be working on? Design and build public-facing APIs for Wise Platform and our partners that are intuitive, consistent, and easy to use. We want to set the standard for seamless financial integrations. Own technical roadmaps for your areas of ownership, ensuring they address important technical debt, reliability, scalability, and security concerns. Architect highly robust and scalable microservices using event driven design patterns. Participate in product roadmapping and strategy sessions with product management and the rest of your cross functional team. Take initiative to solve impactful problems both within your team and beyond, contributing to high impact cross team initiatives that unlock new capabilities and value for our partners. Mentor and influence teammates through code reviews and best practices, raising the bar for technical excellence. Qualifications Strong foundation in modern Java or other JVM based language, experience with the Spring framework, with a commitment to clean, testable, and highly performant code. Deep experience building and operating microservices, with a solid understanding of event driven architecture, distributed system and concurrency patterns. Hands on experience with Kafka or similar messaging systems, including designing robust, scalable event pipelines. Proficiency with relational and non relational databases, including query optimization, schema design, and thoughtful data lifecycle management for sensitive information. Product oriented thinking with a strong product mindset and passion for user experience, you prioritise work with the customers in mind and make data driven decisions to fix partner problems. Experience with common design and architectural patterns coupled with a passion for writing clean code that is performant and well tested. Great communication skills and the ability to articulate complex, technical concepts to non technical audiences. What do we offer: Starting salary: £87,500 - £111,000 + RSUs Wise Benefits For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Wise is seeking a senior software engineer with a focus on stream processing to join our Stream Processing team within the Data Squad. You will design, implement, and operate real-time data pipelines using Flink and Kafka Streams, enabling rapid validation, fraud checks and data movement into our data lake. You will collaborate with product engineers to define tooling, enforce best practices, and ensure scalable, reliable services across the platform, balancing speed with security and

Wise Platform is seeking a product-focused Senior Software Engineer in London to own and shape critical KYC onboarding APIs and services for our partners. You'll join an autonomous cross-functional team with freedom to influence the Wise Platform KYC experience, collaborating with engineers, product, analytics, compliance and operations. We build scalable microservices with emphasis on reliability, security, and delivering value for partners while mentoring teammates to raise technical standards.

Dangote Industries Limited in London is seeking a Senior TechOps Engineer / Lead to own day-to-day technology operations for the London office and support the wider UK & Ireland environment, acting as the senior local escalation point for complex incidents and disruptions. You will drive continual service improvement, lead local technology projects, manage end-user devices lifecycle, and collaborate with regional and global teams to deliver reliable, enterprise-grade technology services.

WHO ARE WE LOOKING FOR: We are looking for a Senior TechOps Engineer / Lead who combines deep hands on technical capability with operational leadership. In this role, you will act as the senior technical point of contact for the London office and broader UK & Ireland corporate environment, owning escalations, driving service improvements, and leading local technology initiatives in partnership with regional and global teams. You bring strong judgement, a proactive mindset, and the ability to translate business needs into practical, resilient technology solutions. You are comfortable balancing frontline operational support with project delivery, governance, and continuous improvement, while mentoring others and raising standards across service, reliability, and end user experience. WHAT WILL YOU WORK ON: Own and lead day to day technology operations for the London office and support the wider UK & Ireland environment, ensuring a high quality end user experience and reliable service delivery. Act as the senior local escalation point for complex incidents, recurring issues, and high impact service disruptions, coordinating effectively with regional, global, and third party teams through to resolution. Drive continual service improvement by analyzing trends, identifying root causes, reducing repeat incidents, and implementing sustainable fixes, standards, and operational controls. Lead local technology projects and office initiatives, including upgrades, refreshes, re fits, deployments, and workplace technology enhancements, ensuring delivery to scope, timeline, and quality expectations. Represent the local business in EMEA and Global technology programs, providing site leadership, technical input, risk identification, and change coordination. Own asset, inventory, and lifecycle management processes for end user devices and workplace technology, ensuring stock accuracy, compliance with standards, and proactive planning for refresh and replacement. Maintain and improve meeting room, event space, and collaboration technology readiness, using proactive checks, structured maintenance, and service partner coordination to minimize disruption. Partner with business stakeholders and leadership to understand priorities, communicate plans and risks clearly, and align technology services with business outcomes. Support change, release, and operational readiness activities by ensuring documentation, runbooks, knowledge articles, and support processes are current, practical, and consistently followed. Coach and guide peers, service partners, and less experienced engineers by sharing knowledge, reinforcing best practices, and elevating standards across support and delivery. Contribute to vendor and partner performance management through quality reviews, follow up actions, and accountability for service outcomes. Communicate technical concepts clearly to audiences of all technical abilities, enabling confident decision making and strong adoption of technology services. Own and manage ServiceNow support queues end to end, ensuring effective triage, prioritization, and workload distribution to meet SLAs and business expectations. Utilize data and performance insights (e.g. ticket volumes, aging incidents/problem tickets, SLA breaches, escalation trends) to identify recurring issues and implement sustainable, long term fixes. Drive continuous reduction in incident resolution times, proactively identifying backlog, ageing tickets, and process bottlenecks, and delivering targeted improvements. WHO WILL YOU WORK WITH: You will report to the TechOps Manager for London and serve as a senior technical partner to the local business. You will work closely with the wider technology teams across EMEA and Global functions, including headquarters in the Netherlands and partner teams in Global, to align local delivery with enterprise standards and priorities. You will operate as part of a small local team while influencing a broader regional network of engineers, service owners, and external partners. Success in this role will depend on strong collaboration with business leaders, workplace teams, and cross functional technology groups to shape and deliver effective, scalable solutions. QUALIFICATIONS & EXPERIENCE: Education: Bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience. Experience: Typically, 5 8 years of progressive experience in IT support, workplace technology, infrastructure, or technical operations, including experience handling complex incidents and leading local initiatives or projects. Leadership: Demonstrated ability to lead through influence, act as a senior escalation point, coordinate across teams, and mentor others without losing hands on technical credibility. Service Management: Strong understanding of incident, problem, change, and service request management, with practical knowledge of ITIL principles and continual service improvement. Project Delivery: Experience supporting or leading workplace technology projects, office moves, refreshes, upgrades, and operational readiness activities. End User Technology: Strong capability in diagnosing, troubleshooting, configuring, and deploying Windows laptops, macOS devices, iPhones, iPads, peripherals, and collaboration technologies in line with enterprise standards. Workplace & A/V Technology: Practical experience supporting meeting room systems, video conferencing platforms, digital signage, and event space technology, with a focus on reliability and user experience. Networking & Infrastructure: Good working knowledge of enterprise networking and physical infrastructure, including TCP/IP, wireless, switches, access points, cabling, patching, PoE powered devices, and on site hardware setup. Operational Control: Experience managing asset inventory, stock control, lifecycle planning, standards compliance, and technical documentation such as runbooks and knowledge articles. Vendor & Stakeholder Management: Confident working with third party suppliers and internal stakeholders, holding partners accountable, communicating clearly, and building trust across technical and non technical audiences. Communication: Excellent written and verbal communication skills in English, with the ability to translate technical concepts into clear business language. Ways of Working: Structured, proactive, and highly organized, with strong analytical skills, sound judgement, and the ability to manage competing priorities in a dynamic environment.

About the role We're looking for a Senior Product Engineer II to join our Wise for Banks team and help shape the technical direction of the systems powering Wise's global payment network. In this role, you'll operate at the intersection of engineering, product, and partnerships by driving the architecture, scalability, and reliability of the infrastructure that enables banks to connect seamlessly to Wise. With deep expertise in Java, Spring Boot, Kafka, and PostgreSQL, you'll lead the design of highly available services and event driven systems that power partner integrations and financial flows at scale. You'll influence architecture across Wise's ecosystem of 700+ microservices, helping teams make sound technical decisions and ensuring systems remain maintainable, observable, and resilient as our platform grows. Beyond hands on technical contributions, you'll act as a technical authority and multiplier for the organisation. You'll mentor engineers, raise engineering standards, and guide teams toward best practices in microservices architecture, domain driven design, and distributed systems. You'll also play a key role in cross team initiatives, representing Wise Platform and helping align engineering efforts with company wide goals. At Wise, we value collaboration, curiosity, and shared ownership. In this role, you'll develop deep expertise in correspondent banking and interbank payment networks, helping shape the systems that enable banks and businesses to move money globally with speed, transparency, and reliability. You'll regularly contribute to technical discussions, architecture reviews, and strategic planning across teams. Our Partner Cash Management team builds and maintains the infrastructure that enables banks to fund, hold, and manage liquidity within interbank payment networks. Our platform helps partners optimise liquidity, support seamless payments, and manage foreign exchange exposure at scale. As a Software Product Engineer, you'll play a critical role in evolving this platform to support the next generation of global financial partnerships. We're looking for someone who: Has extensive hands on experience with Java and Spring Boot in production environments Has strong experience designing and operating large scale distributed systems and microservices architectures Is comfortable designing event driven systems using Kafka or similar technologies Has strong experience modelling and building systems with PostgreSQL or other relational databases Applies domain driven design principles to build scalable and maintainable systems Has a track record of architecting and delivering complex, high scale systems Demonstrates strong technical leadership and cross team influence Communicates effectively with both technical and non technical stakeholders What will you be doing? Lead the design and development of highly scalable and resilient services in Java and Spring Boot within Wise's microservices architecture, helping evolve the systems that power our global payments network Apply domain driven design to model complex financial domains and build robust, scalable solutions that support Wise's growing partner ecosystem Drive the development and adoption of event driven architectures using Kafka or similar messaging systems, ensuring systems are reliable, observable, and able to scale with increasing transaction volumes Architect and optimise relational database systems (e.g. PostgreSQL), ensuring strong data modelling, performance, and reliability across critical financial workflows Collaborate with cross functional teams including Product, Implementation, Solutions Engineering, and Business Development to support partner integrations and expand the Wise payment platform globally Provide technical leadership across teams, influencing architecture decisions, contributing to platform level improvements, and ensuring engineering standards remain high across services Participate in code reviews, architecture discussions, and technical planning, championing best practices in distributed systems, reliability, and maintainability Mentor and support engineers, helping grow technical capability across the team while fostering a culture of learning, ownership, and collaboration Qualifications We are fully aware that it is uncommon for a candidate to have all the skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you! Extensive experience building backend systems using Java and Spring Boot, or similar languages and frameworks, in production environments Strong experience designing and operating large scale microservices architectures and distributed systems Proven experience building or operating event driven systems using Kafka or similar messaging platforms Strong knowledge of relational databases such as PostgreSQL, including schema design, query optimisation, and maintaining data integrity in high scale systems Experience applying domain driven design (DDD) to model complex business domains and design scalable systems is a plus A strong product mindset and passion for user experience - you prioritise work with the customer in mind and make data driven decisions to solve real problems Excellent problem solving skills, with the ability to operate independently while collaborating effectively across teams Strong communication and leadership skills, with the ability to clearly convey technical concepts to both technical and non technical audiences Experience mentoring engineers and contributing to raising technical standards across teams What do we offer: Wise Benefits