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📍London, Cardiff or Remote in the UK | 💰 £97,800 -125,000 + | ✨ ⭐Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 🔑You’ll play a key role by... • Serving as a data architect for Monzo’s Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite., • Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases., • Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards., • Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices., • Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance., • Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. 🤩We’d love to hear from you : • You have a strong passion for data modelling, ETL projects, and Big Data., • You enjoy working with data streams from various services, such as financial, transactional, and operational systems., • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts., • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others., • You have experience building robust and reliable data sets that require a high level of control., • You enjoy working with cross functional fast moving teams and are passionate about serving our customers., • You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers., • You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture., • You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business., • You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables., • You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering., • Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: • Recruiter call, • Initial call, • Technical task, • 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰 £97,800-£125,000 base + _ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits_ #LI-AS #LI-Remote

Total Contracted Hours: 40An exciting new Shift Manager opportunity at DX!* This is a backshift/afternoons based vacancy*All about youYou will be friendly, hard-working and love the buzz of getting things done. We love team players and here at DX we are committed to providing our people the technical and personal skills to progress their careers.About usWe are a leading independent parcel, mail and logistics services company operating throughout the UK and Ireland delivering the important things in life. DX provides next-day or scheduled delivery services for parcels and freight, as well as comprehensive logistics solutions, including warehouse management and the operation of customer-liveried vehicles. Our brand is what we do every day and our values set the tone for how we want our colleagues to go about their business of delivering the Delivered Exactly promise.What will it feel like to be part of our team?At DX, we know our people are our foundation of success. We'll give you all the responsibility you need to develop yourself as an adaptable leader; with plenty of challenges to keep your career growing. If you want to develop your career, DX will provide the training and the opportunities! In addition, you will work with passionate and supportive people who are focused on meeting the DX Delivered Exactly promise.Role summary:The Shift Manager role reports to the Operations Manager and leads and manages all aspects of the daily shift operation in a cost effective and productive manner. The Shift Manager will be responsible for ensuring that service is in line with Service Level Agreements and Key Performance Indicator targets. This key leadership role will also effectively manage all colleagues on the shift to ensure all Customer expectations are achieved.Key responsibilitiesLead and manage the warehousing operation for the shift ensuring the effective and accurate sortation of goods.Ensure all activities are undertaken in line with company policies in safe and proactive mannerManaging costs and performance of the shiftLead and engage a team to drive excellent customer serviceEffective management of performance, conduct, absence, engagement and training and development of team members, holding people accountable to agreed departmental and company standards.Monitor KPI's, identify and communicate associated actions and highlight areas for improvement.Provide a shift summary and handover record with any exceptions detailed and actioned.Essential criteria for this rolePrevious experience in the logistics or distribution industryAdditional information on this roleIf you have previous experience of managing teams in fast-paced mail/distribution environments and have the ambition to develop your leadership skills, then we would love to hear from you.Benefits:Competitive Rates of PayHolidays: 25 days increasing with length of service + bank holidaysLong Service Recognition schemeEnhanced Maternity & PaternityCompany Pension SchemeLife AssuranceEmployee Assistance programme including 24/7 Virtual GPDX Discounts PortalExcellent opportunities for career progression and more!!We look forward to hearing from you!TPBN1_UKTJ

Senior Account Manager - SaaS / Automotive Aftermarket IT Location: Midlands / North (UK-based ideally along the M1 / M62 / M6 /M40 corridor Salary: OTE £70k. Basic salary circa £50k + Bonus + Car Allowance + Pension + 25 days holiday Who We Are: We are a market leader in developing trading, financial, and business process software for specialist sectors including Distribution, Automotive Aftermarket, Merchant, Retail, and Manufacturing. Our solutions cater to single or multi-branch operations and organisations with 'point-of-sale' premises and warehouse operations. What You Will Be Doing: As a Senior Account Manager, you will play a pivotal role in our UK Automotive Aftermarket Sales Team. Your primary responsibilities will involve the strategic management of top-tier Automotive Aftermarket Accounts across the UK, fostering strong, trustworthy relationships with internal and external stakeholders at the highest level. Are You Well-Connected? We seek an established Senior Account Manager / Business Development Manager with the influence and gravitas to engage with senior figures within the Automotive sector. An understanding of the market, manufacturing, and distribution processes will be an advantage to unlocking future opportunities within your account portfolio. Do You Need to Be an IT Expert? No, your expertise lies in managing high-value accounts. However, having technical savviness will place you in a great position. Experience with SaaS solutions, IT, data management, cataloguing, combined with selling aftermarket / automotive IT service solutions will be highly beneficial. Strong commercial awareness and a proven track record are essential. Why Join Our Team? We are a leading tech organisation, and promote a balanced work environment through our flexible hybrid work policy, combining the best of both worlds in terms of office team support, field based activities and home working balance: collaboration and remote work convenience is key to maximising output and productivity, whilst also keeping a good solid home life foundation. Come join us! Interested? Let's Connect! If you want to learn more about this exciting opportunity, please forward your CV to our retained recruiter Glen Shepherd at We will organise an online confidential informative session with the employer. Don't delay - we are hiring NOW! JOB REF: 4259RC

Technical Account Manager London - Hybrid or UK - Remote About Snowplow Snowplow is the global leader in customer data infrastructure for AI, enabling every organisation to transform raw behavioural data into governed, high-fidelity fuel for AI-powered applications—including advanced analytics, real-time personalisation engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands of companies rely on Snowplow to uncover customer insights, predict customer behaviours, hyper-personalise customer experiences, and detect fraud in real time. The Opportunity The Technical Account Manager (TAM) sits within our Technical Services team and reports to the Technical Account Management Lead. This customer-facing role blends technical expertise with consultative support, helping customers solve problems and get value from their data using Snowplow. We view customer activation as key to retention and success. TAMs work closely with clients to understand their data goals and design tailored implementations that drive business outcomes. We’re looking for a technically savvy, data-driven individual who thrives in a fast-paced environment and enjoys working with data teams to co-design solutions, implement use cases, and demonstrate impact. The role involves close collaboration with cross-functional teams—Engineering, Product, Sales, Support, and Marketing—to optimise customer strategies and expand use cases. What you'll be doing: ● Partner with various Snowplow team members to support customer accounts, collaborating with them to deliver value within their unique and complex organisations.● Provide consultation and advisory support to customers regarding solutions and use case development, by providing actionable execution of success criteria and solutioning complex problems.● Work with customers to identify, diagnose and resolve technical challenges with their Snowplow solution – including front-end implementation, data modelling, real-time data processing, and more.● Educate and enable our customers through tailored workshops and advisory sessions.● Collaborate with our Solution Architects, to develop and evolve technical assets such as data models, implementation strategies, architectures, and supporting code to bring value to our customers as well as our internal teams.● Develop domain expertise in key verticals through deep customer collaborations, general research and industry events/conferences.● Work closely with the Customer Success and Strategic Account Management teams to develop long-term strategies and roadmaps for activation and adoption of Snowplow’s products. ● Continue learning and staying current with our products and related technologies, to assist and train both customers and other team members We’d Love to Hear From You If Have: ● A solid understanding of the data space - cloud infrastructure, database technologies, visualisation tools and other enabling technologies in the modern data stack.● Experience working either client-side or agency-side as an analyst, analytics engineer, data engineer, data consultant, or data scientist.● SQL and data modelling experience, and proficiency at manipulating data.● Experience with direct management of a customer portfolio for continual successPrevious experience designing and implementing complex software solutions, including gathering/developing requirements and interacting with senior technical stakeholders (e.g. CTO, VP, Tech Lead). ● Previous experience of using Snowplow, (either BDP or open source) is ideal but not required What We Offer You in Return: 💰 A competitive package, including share options🧘 Flexible working🏖 A generous holiday allowance no matter where you are in the world💻 MacBook and home office equipment allowance👪 Enhanced maternity, paternity, shared parental and adoption leave Snowplow is dedicated to building and supporting a brilliant, diverse and hugely inclusive team. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence.

London/Cardiff/UK Remote | Level 50 Analytics Engineering |💰£97,800-£125,000 + | ✨ ⭐Our Core Analytics Engineering Team Our goal in Core Banking is to make everyday money work for everyone. We’re responsible for the current account used by over 12 million users! We create the day-to-day money management experiences, including features like Trends, Salary Sorter, Bills Pots, and more. We build functionality for different audiences, including Joint Account users and Under 16 year olds. Our team even builds Subscriptions, our paid upgrades that unlock extra benefits and functionality to help our customers make financial progress. We’re now gearing up for our next phase of growth to 20 million customers. Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Core, Money, Borrowing, Operations and Financial Crime and beyond. The AE teams are responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision making in a cost effective and performant manner. Managers within Data have two primary responsibilities; people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times and celebrating their successes. You will also be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail. There will be a strong focus on delivering best practice across our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this. 🔑You’ll play a key role by... Working in a multi-disciplinary team, you will: • Be a hands-on leader in building a discipline of exceptional analytics engineers working to make Data at Monzo the gold standard within the industry, • Nurture between 5 to 6 analytics engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others, • Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives, • Be hands on through participating in the review cycle, architecture and design leadership and development of your own changes to the pipelines, • Be part of the hiring team within Analytics Engineering, • Work closely with other leads to deliver a scalable, consistent approach to governance and best practices, • Drive effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines, • Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, be it either hands-on or by leading others, • We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role 🤩We’d love to hear from you if… You have experience managing or mentoring the performance and development of high-performing engineers. • You have strong experience in data warehousing architecture at scale, • You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect, • You know what it takes to hire great engineers within the data space, • You’re equally comfortable working hands on and leading a team Nice To Haves: • Any experience working within a finance or banking environment, • Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care), • Experience with any of our stack of dbt, BigQuery and Looker Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that’s listed just yet. Drop us your application, we’d love to hear from you! 🙌What’s in it for you 💰£97,800-£125,000 ✈️ We’ll help you relocate to the UK. ✅ We can sponsor your visa. 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚£1,000 learning budget each year to use on books, training courses and conferences. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! _. 🌈 The application journey has 4 key steps • Recruiter Screening Call, • Initial Call, • Take Home Task, • Final Loop (3 sessions - case study, collaboration and people leadership) This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. _ For more insight into the AE team at Monzo, check out our _ with John Azzopardi one of our Senior Leaders in AE #LI-AE1 #LI-REMOTE

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