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🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ London/Cardiff/UK Remote | 💰£92,500-£125,000 + | ✨ 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives because Money never felt like Monzo ❤️ 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. Data is crucial to the success of this mission and Borrowing Analytics Engineers are at the core of how we build, scale and re-architect our Borrowing Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo’s customers better. ⭐Our Analytics Engineering team Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - 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 all of 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 working to make Data at Monzo the gold standard within the industry., • Nurture between 6 and 7 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 thats listed just yet. Drop us your application, we’d love to hear from you! 🙌What’s in it for you 💰£92,500-£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 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 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our, and 2024_ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. #LI-AS #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

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

WSR are recruiting for a Nationwide Field Based Business Development Manager for our esteemed Client. Job title: Business Development Manager (Field Based) Permanent Location: Remote, with occasional visits to Head Office in Barnsley Salary: £40K - £50K per annum Our client, a prominent player in the industrial product and service sector, is currently seeking a Business Development Manager to join their growing national sales team and play a key role in expanding their client base across the UK. This is an exciting opportunity to work with a leading company serving the warehousing, logistics, and material handling industry. Role overview: This is an excellent opportunity for you to further enhance your Sales career, working as part of a strong nationwide sales team focused on delivering business growth and offering future career progression. The Business Development Manager is responsible for identifying sales leads, sourcing new opportunities and potential clients, whilst also maintaining current customer relationships. The role requires somebody with the aptitude to convert active enquiries into trading customers, as well as nurture prospective leads. This field-based role requires frequent travel to customer sites nationwide and occasional visits to head office. Key Responsibilities • Generate and qualify leads, converting prospects into trading customers, • Follow up on leads from marketing campaigns, events, and exhibitions, • Build customer trust through excellent communication and timely quoting, • Maintain and update CRM systems, ensuring data integrity and accurate reporting, • Stay informed on competitor activity, market trends, and customer needs, • Act as a brand ambassador at trade events and industry expos Experience and skills • Able to prioritise, develop work schedule, and influence others to achieve results., • Exemplary communication and customer engagement skills., • Collaborate effectively with others to ensure business improvements and efficiencies., • Knowledge and understanding of products and construction basics within the industry., • A proven track record of generating leads and conversion rates., • Experience of working in a sales or business development team., • Knowledge of warehouse and logistics product flow., • Experience in utilising a CRM system. Why join our Client? You’ll thrive if you: • Consistently generate new leads and close deals, • Meet/exceed targets for calls, meetings, and quotations, • Build strong, sustainable customer relationships, • Demonstrate continuous improvement and proactive sales engagement, • Support a culture of collaboration and growth within the team Benefits: • Salary £40k - £50k per annum, • Company Vehicle/Allowance, • 25 days holiday (service increment scheme in place), • Health Care Cash Plan (available from day one), • Company sick pay support scheme (after completion of probation), • Employee Assistance Programme (including 1:1 counselling), • Group Life Assurance – 2x annual salary (after 5 years’ service), • PERKS retailer discount scheme Please click ‘APPLY NOW’, or call the WSR Team at for more info. We appreciate the time and effort invested in your application. While we strive to respond to all applicants promptly, we kindly ask for your understanding in case of delays. If you do not hear from us within 10 days of submitting your application, please assume that, unfortunately, you have not been successful this time. We will however keep your CV on file and review your suitability against any other vacancies we may have available.

📍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

📍 London, Cardiff or Remote in the UK | | ✨| Check out our _ 🚀 What you’ll be working on: The Analytics Engineering team is 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 an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. You’ll enable our data driven approach, and: • Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases., • Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost., • Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards., • Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen., • Take established best practices and standards defined by the team, applying them within other areas of the business., • Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse., • Contribute to prioritisation of data governance issues, • 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 enjoy working with cross functional fast moving teams and are passionate about serving small businesses., • You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers., • 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. Nice to haves • Any experience working within a finance function or knowledge of accounting., • Experience working in a highly regulated environment (e.g. finance, gaming, food, health care)., • Knowledge of regulatory reporting and treasury operations in retail banking, • Exposure to Python, Go or similar languages., • Experience working with orchestration frameworks such as Airflow/Luigi, • Have previously used dbt, dataform or similar tooling., • Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process involves 3 main stages: • 30 minute recruiter call, • 45 minute call with the hiring manager, • Take home task, • 2-part final stage Our average process takes around 3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you: 📍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_ If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

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.

Bloom & Wild is re-inventing the $60B global flower industry. Over a billion flower exchanges take place every year and industry satisfaction levels are low. Driven by our vision of creating the destination for making life a little more thoughtful and beautiful, we do things differently. From inventing letterbox flowers to founding The Thoughtful Marketing Movement. And we’ve seen impressive traction to date - we are Europe’s largest direct to consumer flower company. In January 2021 we announced our £75 million Series D funding round, led by General Catalyst (backers of Airbnb and Deliveroo), alongside other top tier investors including Index Ventures (investors in Wise and Glossier). We are home to a family of 3 strong brands, Bloom & Wild, bloomon and Bergamotte, having acquired bloomon in April 2021 and Bergamotte in July 2021. Together, we are active in 8 countries. We were named one of the 5 fastest growing tech companies in Europe and are alumni of Tech Nation’s Future Fifty. We were also one of the Sunday Times Top 100 Small Companies to Work For 2020. We really care about creating a diverse and inclusive team and we welcome people from all backgrounds, with different perspectives, ideas and experiences to work with us. In our team, everyone has the freedom to give their opinion, grow in their career and be part of a genuinely caring and inclusive team. Tech Team @ Bloom & WildOur Technology team sits at the heart of our business, building and maintaining the solutions that power e-commerce, production, and fulfillment. Our platform uses technologies including Ruby and Rails and Python/React, backed by PostgreSQL, Fargate/ECS on AWS, and Cloud Run on GCP. It exposes APIs that are used by our multi-brand Angular webapp and our native iOS and Android mobile apps. We’re also looking at developing new domain-driven services & microservices where applicable. Our Product Engineering team is organised into cross functional squads, each responsible for a business and architectural domain, supported by Platform and Data Engineering. You’ll join the Range squad, a cross-functional team within our Ops-Tech group. We focus on the internal systems that power range representation, product allocation, and stock management — a core domain of our business that directly influences what our customers see and receive. Our work connects closely with many other squads across Bloom & Wild, as we support the smooth flow of products from planning through to delivery. Most of our team is based in the UK and works in a flexible model, with choice in how often they travel to the office. Our squads meet all in person at least once per quarter in order to maintain connections, collaborate on larger projects and have fun together. You can read lots more about our technology stack and our culture over on our tech blog - _. 💻 What you’ll be doing…As a mid-level engineer in our Range squad, you’ll help build and maintain the internal tools that power our warehouse operations — from bouquet assembly to order fulfilment across multiple countries. • Working closely with our product manager, engineers, and stakeholders to understand real-world needs and translate them into working software., • Building and improving our internal tools using Ruby on Rails and related technologies., • Making iterative improvements to our monolith while contributing to the development of new features to support our rapidly expanding curated range of products., • Writing clear, tested, secure, maintainable code and participating in code reviews to ensure high-quality solutions., • Exploring new ideas and opportunities to improve our monolith and workflows., • Helping to shape our technical decisions by sharing your ideas and contributing to discussions about architecture, tooling, and best practices., • Contributing to technical discussions and helping ensure our solutions align with our technical strategy and business goals., • Collaborating with your squad to deliver work in small, valuable increments — using agile practices and modern tooling., • Monitoring, debugging and improving the performance of our systems with observability tools., • You are a Ruby developer (2+ years of experience) with good knowledge of Ruby on Rails in a production environment and are keen to keep growing your expertise., • You have experience working with RESTful APIs, version control tools such as GitHub, and testing tools like RSpec., • You’re curious about how things work — whether it’s diving into a new tool, exploring performance improvements, or figuring out how real-world problems translate into code., • You want to work in a kind, inclusive, and supportive environment where people care about their work and each other., • You have experience working in a fast-growing (preferably consumer-facing) startup / scaleup., • You have experience of distributed service architectures, including how best to test and release them, and how to ensure system stability when making changes independent of other services.Why Bloom & Wild?To care wildly for our customers, first we care wildly for our teams. We work hard to craft a culture of thoughtfulness and care, where there is a strong sense of inclusion and belonging, enabling all of our people to thrive and be successful each day. 🌻Work that works for you - Flexible working : our core hours are 10-4, but outside of these hours you can start or finish your day when works best for you- Work Abroad for up to 30 days each year - Share in our success with a choice to take equity options from day 1- Enhanced family leave policy and a workplace nursery scheme- 1 day per year to volunteer on a project that’s close to your heart 🌴 Time off- 25 days’ holiday + your birthday and bank holidays each year- Option to buy an extra 5 days’ holiday each year - Flexible bank holidays - trade a bank holiday for another day that fits your beliefs, values and celebration calendar 🌱 Health & Wellbeing- Health cash plan through Simplyhealth- Mental health support through Open Up, including access to online therapy sessions- Allies and champions groups- Mental Health First Aiders and awareness training for our managers - In person or virtual yoga every week- Cycle to work scheme- Electric car scheme- Our office kitchen is stocked with drinks and snacks to keep you going- Financial wellbeing support through Bippit- Workplace pension contributions 🌳 Growth & Development- A flexible training framework for every stage of your career development through our Bloom & Learn programme- Access to the Goodhabitz learning platform- Mentee and mentor opportunities with our external partners, such as The Women's Association and Future Founders- Internal & external Speaker Sessions on a variety of different inspirational topics 💐 Moments that matter- Social & wellbeing monthly calendar- Summer and End of Year events, team lunches and post-peak celebrations- Irresistible discounts on our products, blooms & subscriptions! SponsorshipWe're proud to hold an A-rated sponsor license, so we can assign certificates of sponsorship. This means we can support applications from anywhere as long as the job is deemed suitable under the points based system. 🫱‍🫲 Getting hired We’ll do everything we can to make sure your interview experience with us is a good one. It’s a 2-way process, and we’re keen to answer all of the questions you may have, so that you can be sure (and excited!) that we’ll be the right place for you. If your application is successful you can expect: • The majority of our A chat with Leroy, our Talent Consultant for Tech - to discuss our role and learn a bit more about your skills and background and how we might match your career & development goals.- An interview with Tonci, our Engineering Manager to get into more of the detail.- A chance to show us how you work through a technical challenge, which can be a live paired coding/whiteboard session.A final chat with our CPTO or VP of Engineering. We believe in leading change for good, so do let us know if there’s anything we can do to support your application process. Also, if you have any feedback, please help us to improve our candidate experience by sharing (anonymously) _.

At Imply, our mission is to empower people and organizations to achieve more with their data. We believe that better insights lead to better decisions, and that the right technology can remove barriers, spark innovation and create lasting impact. Building on the success of our database business, we have created the industry’s first observability warehouse, Imply Lumi. Built by the creators of Apache Druid, Lumi lets organizations store more data, support more use cases and spend less for observability. Imply Lumi is a high-performance, cost-efficient data layer built to decouple existing observability tools with zero disruption. Backed by leading investors including a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory, transforming how organizations manage and gain insights from their observability and security data. Our customers, including Pepsi, Reddit, Roblox, Salesforce, and others, rely on our technology to power faster decisions, reduce costs, and unlock new possibilities. Come join a team of innovators and problem-solvers who are reshaping the future of data! The Role Imply is looking for a motivated and curious Business Development Representative (BDR), to help grow the adoption of our newest product, Imply Lumi. The role is ideal for someone who thrives in a technical, fast-evolving space and enjoys engaging with technical buyers (SREs, DevOps, etc). As a BDR, you will be responsible for identifying, engaging, and qualifying prospective customers and will play a critical role in building the pipeline and educating the market on Imply Lumi. Responsibilities • Generate new business opportunities through outbound prospecting (email, LinkedIn, events, and target campaigns)., • Research heavily into accounts to maximize the value of outreach, • Qualify inbound leads and guide early-stage discovery conversations, • Educate prospects on the value of Imply Lumi use cases, • Partner with Account Executives to transition qualified opportunities and support deal progression, • Collaborate closely with Marketing to refine messaging and campaign targeting, • Maintain accurate activity & pipeline tracking in SFDC, • Continuously learn about the product, the landscape and SaaS industry trends Key Metrics Measured • Opportunities created and accepted by sales team, • Daily and Weekly activity regarding outreach to prospects/existing customers (Linkedin, email, phone, marketing campaigns), • Qualify opportunities that progress through sales pipeline Requirements • Ability to manage time effectively, work independently, and be self-motivated, • A passion for research as well as strong in-person, phone, and written customer communication skills, • Must be able to interact and communicate with individuals at all levels of the organization, • Ability to make formal and informal presentations to staff and clients, • Ability to prioritize work assignments and shift work efforts based on the needs of the department or business goals, • Prior track record of achievement in positions with significant accountability, • Strong knowledge of Salesforce Bonus Points • Experience working on observability or SIEM platforms such as Splunk, Datadog, New Relic, Cribl, etc What We Offer: • PTO, • Private Medical Insurance, • Dental Insurance, • Life Insurance, • Income Protection, • Employee Assistance Programme, • Pension Individual compensation will be determined based on the candidate's experience and qualifications aligned with Imply’s internal leveling guidelines and benchmarks. The below range encompasses roles with on target earnings. This role is also eligible to participate in Imply’s equity plan subject to the terms of the applicable plans and policies. Don’t meet every single requirement? Studies have shown that certain minority groups are less likely to apply to jobs unless they meet every qualification. At Imply, we are dedicated to building a diverse, inclusive and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or for other roles in the future. Imply is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Please note, applications and candidate submissions are subject to our privacy policy and, for California residents, the CCPA terms available at _. — Attention: Imply Applicants Due to reports of phishing, we’re requesting that all Imply applicants apply through our official Careers page at _. All official communication from Imply will come from email addresses ending with @imply.io. #LI-Remote

Data Engineer- London/ Remote- 4 Months- £41-£46 ph PAYE.A global technology company are looking for an experienced Data Engineer to join their team on an initial 9 month assignment.The data warehouse team works very closely with Product Managers, Product Analysts and Internet Marketers to figure

At Places for People, we hire People, not numbers! So, if you like the sound of one of our jobs, please apply - you could be just who we're looking for! Of course, experience and track record are important, but we're more interested in hiring someone that embodies our People Promises. That's someone that does the right thing, is enthusiastic and motivated to grow, believes in Community spirit, is respectful and enjoys their work. As the UK's leading Social Enterprise, we don't discriminate based on any protected attribute. In fact, we're dedicated to creating inclusive and thriving Communities for both our Customers and Employees. So, what are you waiting for? Join a Community that cares about you! More about the team The Data and Platform Engineering team are the foundation for the Data Office function. Responsible for designing, building, and maintainingPfP'sdata platform we extract data from source, transform it into a usable format, load it into consumer models andmartsandbuild and manage the infrastructure to do all this work. Data Engineering are transformingthe wayPfPconsumes data. Having transitionedfrom On Premise toGoogle Cloudwe arein the process ofbuildingaleading-edgeData Mesh platform.This is an exciting time to joina growing business function, with the opportunity tomake your markin thearchitecture of theplatform and the development of the data engineering function. More about your?role? The Principal Data Engineer is a senior technical leader who drives the engineering strategy, architecture, and best practices acrossproductdomain squads. This role is pivotal in enabling decentralised data ownership while ensuring consistency, scalability, and interoperability across thedatamesh. Key responsibilities include: • Technical leadership across product domains, • Architecture and design, • Mentorship andcapability building, • Cross domaininteroperability, • Governance and complianceenablement, • Innovation and strategic influence With asolidunderstanding ofGoogle CloudPlatform,the Principal Data Engineeris responsible fortheensuring that thedesignand build ofalldataprocesseson the data platformare robust,performant,and compliant. This includes,dataingestion, data quality / integrity,transformation, securityand encryption,batch management, monitoring, alertingandcost control. In addition toleadingdata processing thePrincipal Data Engineer will help design and build the DataMeshincluding data modelling andthe processing of datafrom raw through the semantic layers. The Principal Data Engineer willidentifyopportunities for automation and process improvement, coachandmentor data engineers, set coding standards and best practices, implement and document data integrity and quality checks, optimise queries, andfacilitatedata engineering collaboration across the team. The Principal Data Engineer will work hand in glove with the PrincipalData PlatformEngineer and the DataDomainArchitectto ensure thatthe data platform anddata pipeline design is optimised and reliable within Google Cloud Platform, documenting the approach and explaining the solution to engineers and non-technical business users. More about you? Youwill havean extensivecloud data engineering backgroundwith deepexpertisein distributed systems, cloudplatformsand modern data stacks. You will have a strong understanding of domain driven design, datameshand product thinking.You will be an excellent communicator and collaborator across technical teams. Having workedon multiple projects within the cloud youhave hands onexperience inmany of thetools and technologieson offer, andyou embrace and learnnewtechnologiesquickly. You havea very clearview of what good looks likeand can formulateplans to deliver a target state working closely with managers and engineers to deliver that vision. You will have multipleyears' experienceworking in GCPwithgood knowledge across the platform and deep knowledgein coreprocessing and orchestration products such asBig Query,DataFlow, DataFusion,Data Stream, Cloud Functions, Data Proc andAirflow / Composer. You will have excellent problem-solving skills,a rigorous approach to code checks / peer reviews and have the strengthof character todrivehigh standardsin the team.You will be able to manageandparticipatein the full development lifecycle of data products. You will haveheld a leading role in a Data Engineering function with responsibility for thedirecting the efforts ofother data engineers though thedesign, build and deployment of complex data solutions.This includes driving the implementation and adoption of CI / CD. You will be self-motivated with excellent leadership qualities, capable of driving innovation and mentoring data engineers. Experience& Skills • A proven track record within Data Engineering,, • Experience in aLead / Principal Engineer role, • Experience in a cloud data platform experience, • GCP experienceand associated tech stack, • Strongunderstanding of Data Mesh principles(direct experience beneficial), • Technical mentoring / coachingskills, • Extensiveexperience with Data Lake / Warehouse solutions, • Strong proficiencyinmultiplelanguageswithSQLandPythonas must haves, • In-depth knowledge of queryoptimization techniques and experience in fine-tuning complex queries., • Strongunderstanding of Data Governance including Data Dictionaries, MDM, Lineage, Data Legislation,and the handling of PII, • Exceptionalcommunication skills and the ability to work collaboratively with cross functional teams, • Experience of Agile / Scrum / SDLC We are a large diverse and ambitious business, which will give you all the challenge you could wish for.? We know that there's always more we can do to make you smile, that's why we offer a comprehensive benefits package with each role, yours will include:? • Competitive salary, with a salary review yearly, • Pensionwith matched contributions up to 7%, • Excellent holiday package 35 days annual leavewith the option to buy or sell leave, • Cashback plan for healthcare costs up to £500 saving per year, • A bonus scheme for all colleagues at 2%, • Training anddevelopment, • Extra perks including huge discounts and offers from shops, cinemas and muchmore. What's next? If you meet the criteria and are ready to make the next step in your career then click apply. You will be redirected to our careers site where you can discover more about the role, read a full job description and apply directly to us. As part of ourcommitment to diversity and inclusion, we offer a guaranteed interview to candidates who are disabled, neurodiverse, or have served in the Armed Forces, provided they meet the essential criteria for the role. If you would like to be considered under this scheme, please indicate this in your application. We are dedicated to creating a supportive and accessible recruitment process for all. We are committed to creating an inclusive and accessible recruitment process. If you require any reasonable adjustments to support your application or interview experience, please let us know. We're happy to work with you to ensure you have the opportunity to perform at your best. If you are a Places for People customer and you're looking for support with your application, please contact our skills and employment team on . We understand the importance of a supportive and inclusive work culture so please talk to us at interview about flexibility you may need. We can't promise to give you exactly what you want, but we promise not to judge you for asking. For this role we are open to discussing the possibility of reduced hours, flexible start and finish times or compressed hours. If you are a recruitment agency please note we operate a PSL and do not take cold calls Safeguarding At Places for People, safeguarding is everyone's responsibility. We are committed to creating safe communities for our customers and colleagues by protecting children, young people, and adults at risk from harm, abuse, and neglect. We follow robust safeguarding policies and procedures, ensuring all employees, volunteers, and contractors uphold the highest standards of safeguarding and accountability. Our recruitment process includes pre-employment checks, including Disclosure and Barring Service (DBS) checks where applicable, to promote a safe and secure working environment. By joining Places for People, you are expected to contribute to our safeguarding culture, following our policies and reporting concerns to protect those in our communities JBRP1_UKTJ

Data Engineer Location: Long Stratton, Norwich, Norfolk (Hybrid) Salary: £63,000 per annum Hybrid: 4 days working from home & 1 day working from office per week. Saffron is looking for a talented Data Engineer to help drive the next stage of our data transformation. This role is all about building and optimising our Azure-based data platform, developing high‑performing pipelines in Azure Data Factory, and supporting our move toward Microsoft Fabric. You will work closely with BI Analysts and teams across the business to deliver reliable, high‑quality data that powers smarter decisions and sharper insights. It is a chance to shape a modern, scalable data environment and make a real impact on how we use data across the organisation. Key Responsibilities: Design, build, and maintain a scalable Azure-based data warehouse that meets the current and future requirements of the Data & Analytics team. Lead the introduction, adoption, and optimisation of Microsoft Fabric (e.g., Lakehouse, Warehouse, Data Engineering, Pipelines). Apply CI/CD practices (e.g., Azure DevOps) for version control, deployment automation, and environment management. Implement data quality checks, pipeline observability, alerting, and automated monitoring to ensure consistent platform reliability. Work collaboratively with data owners and the wider data team to ensure data definitions, lineage, and ownership are clearly established. Work collaboratively with data owners and the wider data team to ensure data definitions, lineage, and ownership are clearly established. Provide technical guidance and coaching to the wider data team members on data engineering best practices. For a full list of responsibilities please see the attached Role Profile Our Ideal Candidate Will Have: Education and Qualifications: Degree in Computer Science, Data Engineering, Mathematics, or a related discipline, or equivalent experience (E) Microsoft certifications in SQL, Fabric, including Power BI, or other Azure Data Services (D) Experience: Advanced SQL skills, including optimisation of complex queries (E). Experience building data pipelines and ETL/ELT workflows using tools such as: Azure Data Factory, Databricks, Airflow, Luigi, or similar (E) Strong understanding of data modelling (E) Programming skills in Python and/or Scala for data processing (D). Experience with machine learning pipelines or MLOps frameworks (D). Personal Attributes: Confident communicator able to engage both technical and non-technical audiences. Proactive, innovative, and committed to continuous improvement. Collaborative, with mentoring and leadership capabilities. Customer-focused, with a commitment to improving services through data. Experience working in a busy, fast-paced workload, and managing multiple projects to meet deadlines. Closing date: 28th June 2026 Shortlist date: 29thJune 2026 Interview date: TBC

About Hexeal Hexeal is a fast-growing FMCG e-commerce business shipping approximately 25,000 orders per week across the UK. We are looking for an organised, driven and hands-on Assistant Warehouse & Production Manager to support the Warehouse & Production Manager in leading our warehouse and production operations. This is a varied role combining leadership, operational management, quality control and continuous improvement. The successful candidate will play a key role in ensuring our warehouse and production departments operate safely, efficiently and to the highest standards. Key Responsibilities Operational Management Support the day-to-day management of warehouse and production operations. Help ensure the smooth processing and fulfilment of approximately 25,000 customer orders per week. Monitor productivity, workflow and operational performance. Identify opportunities to improve efficiency and reduce waste. Team Leadership Assist in managing and developing warehouse and production teams. Support recruitment, onboarding and training of new staff. Allocate work and monitor team performance. Foster a positive and accountable working culture. Health & Safety Ensure compliance with company Health & Safety policies and procedures. Conduct routine inspections and safety checks. Assist with risk assessments and incident investigations. Promote a strong safety-first culture throughout the operation. Quality Control Maintain high product quality standards across production and fulfilment processes. Investigate quality issues and implement corrective actions. Support continuous improvement initiatives. Stock Control Oversee stock accuracy and inventory management. Coordinate stocktakes and cycle counting activities. Investigate discrepancies and implement preventative measures. Goods In & Goods Out Manage the efficient receipt, checking and storage of incoming goods. Ensure accurate picking, packing and dispatch of customer orders. Maintain warehouse organisation and stock rotation standards. Equipment & Maintenance Coordinate routine maintenance schedules for production and warehouse equipment. Monitor machinery performance and arrange repairs where required. Minimise operational downtime through proactive maintenance planning. Administration & Reporting Maintain accurate warehouse and production records. Produce operational reports and KPI data. Support planning and scheduling activities. Skills & Experience Essential Previous experience in a warehouse, production, logistics or FMCG environment. Experience leading or supervising teams. Strong organisational and problem-solving skills. Excellent attention to detail. Good understanding of stock control and warehouse operations. Strong IT skills. Desirable Experience in a high-volume e-commerce fulfilment operation. Degree qualified in a Science or Engineering background. Knowledge of quality management systems. Experience with warehouse management systems (WMS). Forklift licence. Health & Safety qualification (IOSH or similar). What We Offer Up to £45,000 salary Career progression opportunities within a growing business Supportive and collaborative team environment The opportunity to play a key role in the continued growth of Hexeal