About Linde Material Handling: Linde Material Handling is one of the world's leading manufacturers of forklift trucks and warehouse equipment. We operate in over 100 countries worldwide and have around 13,000 people working for the brand. A worldwide network of more than 8,500 service technicians ensures maximum availability of Linde trucks and solutions, and based on our worldwide logistics network, Linde guarantees spare part delivery within 24 hours. Linde Material Handling offers a range of challenging careers across the country, and we are keen to talk to you about the direction in which you would like your career to go. Workshop Engineer - Bridgend Workshop We are looking for a Workshop Engineer to join our team in our Bridgend workshop. The role is suitable for vehicle technicians or mechanical engineers who have experience working as a forklift technician, plant fitter, plant technician, vehicle technician or a similar type of role. Experience within plant equipment, powered access equipment, agricultural machinery, motor vehicles or industrial cleaners may make this role perfect for you. Working with everything from small pallet trucks through to IC trucks, VNA trucks and automated trucks, you will be required to find, diagnose, and rectify faults, and undertake preventative maintenance on Linde forklifts and other material handling equipment. Experience and Qualifications Experience in at least one of the following areas: Mechanical engineering, Electrical engineering, Hydraulics. Ideally NVQ Level 3 (or equivalent) qualification, although this is not essential. IT literate and able to use the latest technology to keep accurate records and place orders. Full UK driving licence. Personal Attributes Good communication skills to liaise with customers and internal colleagues. Ability to work both independently and as part of a team. Take pride in your work and complete tasks to the highest standard. High level of accuracy and attention to detail. Positive and can do attitude. Flexibility to adapt to the changing needs of the role. Desire to be a Linde brand ambassador. What We Offer Salary will depend on experience. 40-hour working week. Overtime opportunities. 25 days annual leave. Company pension scheme - 6% employer contribution; minimum 4% employee contribution. Discount scheme, with access to deals from some of the UK's largest brands. World class Linde specialised product training. Full Forklift Driver Licence. What to Expect Structured 6 week on boarding and training plan. Buddy support system in place. In boot overnight parts deliveries. PPE and uniform supplied. Uniform cleaning service. Ongoing manufacturer training on our market leading range of material handling equipment. Local support from a network of colleagues. Varied role with day to day different challenges. All employees are entitled to equal opportunity employment in accordance with UK law. We value diversity and strive to provide an inclusive environment.
22/06/2026
Full time
About Linde Material Handling: Linde Material Handling is one of the world's leading manufacturers of forklift trucks and warehouse equipment. We operate in over 100 countries worldwide and have around 13,000 people working for the brand. A worldwide network of more than 8,500 service technicians ensures maximum availability of Linde trucks and solutions, and based on our worldwide logistics network, Linde guarantees spare part delivery within 24 hours. Linde Material Handling offers a range of challenging careers across the country, and we are keen to talk to you about the direction in which you would like your career to go. Workshop Engineer - Bridgend Workshop We are looking for a Workshop Engineer to join our team in our Bridgend workshop. The role is suitable for vehicle technicians or mechanical engineers who have experience working as a forklift technician, plant fitter, plant technician, vehicle technician or a similar type of role. Experience within plant equipment, powered access equipment, agricultural machinery, motor vehicles or industrial cleaners may make this role perfect for you. Working with everything from small pallet trucks through to IC trucks, VNA trucks and automated trucks, you will be required to find, diagnose, and rectify faults, and undertake preventative maintenance on Linde forklifts and other material handling equipment. Experience and Qualifications Experience in at least one of the following areas: Mechanical engineering, Electrical engineering, Hydraulics. Ideally NVQ Level 3 (or equivalent) qualification, although this is not essential. IT literate and able to use the latest technology to keep accurate records and place orders. Full UK driving licence. Personal Attributes Good communication skills to liaise with customers and internal colleagues. Ability to work both independently and as part of a team. Take pride in your work and complete tasks to the highest standard. High level of accuracy and attention to detail. Positive and can do attitude. Flexibility to adapt to the changing needs of the role. Desire to be a Linde brand ambassador. What We Offer Salary will depend on experience. 40-hour working week. Overtime opportunities. 25 days annual leave. Company pension scheme - 6% employer contribution; minimum 4% employee contribution. Discount scheme, with access to deals from some of the UK's largest brands. World class Linde specialised product training. Full Forklift Driver Licence. What to Expect Structured 6 week on boarding and training plan. Buddy support system in place. In boot overnight parts deliveries. PPE and uniform supplied. Uniform cleaning service. Ongoing manufacturer training on our market leading range of material handling equipment. Local support from a network of colleagues. Varied role with day to day different challenges. All employees are entitled to equal opportunity employment in accordance with UK law. We value diversity and strive to provide an inclusive environment.
Dynamite-Recruitment-Solutions is seeking a Test Engineer for their Chandler's Ford location, with potential relocation to Romsey. This temporary to permanent role involves hands-on testing, equipment modifications, and warehouse operations. The ideal candidate will have a Valid Counterbalance Forklift Truck License and experience in a logistics or technical environment. The working hours consist of 37.5 hours per week, with overtime possible.
22/06/2026
Full time
Dynamite-Recruitment-Solutions is seeking a Test Engineer for their Chandler's Ford location, with potential relocation to Romsey. This temporary to permanent role involves hands-on testing, equipment modifications, and warehouse operations. The ideal candidate will have a Valid Counterbalance Forklift Truck License and experience in a logistics or technical environment. The working hours consist of 37.5 hours per week, with overtime possible.
Engineering Manager - Data and Analytics, Network Flow and Technologies Job ID: Amazon UK Services Ltd. Are you a hands on leader passionate about automation, logistics and solving complex problems at vast scale? Join our mission to build foundational systems that shape the future of Amazon's global fulfillment network. Key job responsibilities Lead and manage a team of junior and mid level business intelligence engineers, data engineers and software development engineers Establish team business practices, roles and responsibilities, and professional development opportunities Build and maintain the data infrastructure to answer business questions with data using data engineering best practices Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements Collaborate with Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using AWS data technologies Lead the technical design and implementation of the data infrastructure Design and manage data audit, quality, and reconciliation processes in collaboration with various stakeholders A day in the life To be successful in the role, you need strong team management, communication and analytical skills, alongside the ability to manage stakeholders' expectations to deliver the strategic plan with your team. You will work in a collaborative and empowering work environment where cross functional teamwork drives success, and your expertise in data driven innovation is highly valued. You'll have the autonomy to lead initiatives, the support to grow professionally, and the opportunity to make a meaningful impact by delivering actionable insights that shape key business decisions. About the team The Network Flow and Technologies (NFT) team is responsible for building data solutions that drive operational efficiency and enhance the Amazon customer experience. We work across the supply chain to optimize for the network, while minimizing complexity and reducing variation to ensure streamlined operations and consistent outcomes. By providing comprehensive reporting, insightful attribution, and accurate forecasting, we empower our stakeholders to understand what happened, why it happened, and what will happen next. We own the results, not just the technology. We rigorously audit outputs with metrics and experiments, ensuring accuracy and holding dependencies accountable for input quality. Basic Qualifications Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands on SQL coding Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Experience working directly with business stakeholders to translate between data and business needs Experience leading and influencing the BI strategy of your team or organization Experience working with very large data warehousing environment Experience managing a data or BI team Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations Preferred Qualifications Experience managing, analyzing and communicating results to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We value a diverse workforce and provide accommodations for candidates with disabilities throughout the hiring process. Please refer to Amazon's privacy notice for information about how we collect, use, and transfer the personal data of our candidates.
22/06/2026
Full time
Engineering Manager - Data and Analytics, Network Flow and Technologies Job ID: Amazon UK Services Ltd. Are you a hands on leader passionate about automation, logistics and solving complex problems at vast scale? Join our mission to build foundational systems that shape the future of Amazon's global fulfillment network. Key job responsibilities Lead and manage a team of junior and mid level business intelligence engineers, data engineers and software development engineers Establish team business practices, roles and responsibilities, and professional development opportunities Build and maintain the data infrastructure to answer business questions with data using data engineering best practices Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements Collaborate with Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using AWS data technologies Lead the technical design and implementation of the data infrastructure Design and manage data audit, quality, and reconciliation processes in collaboration with various stakeholders A day in the life To be successful in the role, you need strong team management, communication and analytical skills, alongside the ability to manage stakeholders' expectations to deliver the strategic plan with your team. You will work in a collaborative and empowering work environment where cross functional teamwork drives success, and your expertise in data driven innovation is highly valued. You'll have the autonomy to lead initiatives, the support to grow professionally, and the opportunity to make a meaningful impact by delivering actionable insights that shape key business decisions. About the team The Network Flow and Technologies (NFT) team is responsible for building data solutions that drive operational efficiency and enhance the Amazon customer experience. We work across the supply chain to optimize for the network, while minimizing complexity and reducing variation to ensure streamlined operations and consistent outcomes. By providing comprehensive reporting, insightful attribution, and accurate forecasting, we empower our stakeholders to understand what happened, why it happened, and what will happen next. We own the results, not just the technology. We rigorously audit outputs with metrics and experiments, ensuring accuracy and holding dependencies accountable for input quality. Basic Qualifications Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands on SQL coding Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Experience working directly with business stakeholders to translate between data and business needs Experience leading and influencing the BI strategy of your team or organization Experience working with very large data warehousing environment Experience managing a data or BI team Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations Preferred Qualifications Experience managing, analyzing and communicating results to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We value a diverse workforce and provide accommodations for candidates with disabilities throughout the hiring process. Please refer to Amazon's privacy notice for information about how we collect, use, and transfer the personal data of our candidates.
All the details Job purpose Join M&S Software Engineering and help shape the digital future of one of the UK's most trusted brands. You'll work on products and platforms that support millions of customers and thousands of colleagues, as part of an organisation investing heavily in becoming digital-first and engineering-led. We're looking for a Software Engineering Manager who combines strong technical judgement with a passion for building high-performing teams. In this role, you'll lead empowered, multidisciplinary engineers to design, build, release, and run robust software solutions, working in close partnership with Product and Delivery to solve meaningful customer and business problems. This role sits within the International Warehouse Products team, supporting M&S's International business across stores and online markets outside the UK and Ireland. You'll lead a team that is central to M&S's ambitious global expansion plans, building the orchestration layer that integrates Warehouse Management Systems across international hubs with core M&S systems. This is a key role in creating a scalable, flexible supply chain integration platform that helps M&S grow globally and operate more effectively across markets and partners. This is an opportunity to help shape a best-in-class engineering culture, environment, and team. If you're excited by modern technology, large-scale impact, and the chance to influence how engineering is done at M&S, this is a place where you can do some of the best work of your career. You will be responsible for Ensuring the operational stability and resilience of the software solutions owned by your team Delivering high-quality software solutions that create measurable value for the business Improving team maturity and driving progress towards, or maintaining, Elite DORA standards Championing engineering excellence and fostering a culture of innovation and continuous improvement Establishing strong engineering standards and build pipelines to support maintainability and extensibility Ensuring cross-functional requirements such as security, performance, and reliability are built into delivery Driving cloud-first thinking and modernisation across the technology landscape Making effective use of shared platforms to maximise the value delivered by engineering teams What you'll do As a Software Engineering Manager, you'll combine people leadership, technical direction, and delivery excellence to help teams solve problems through technology at scale. Team leadership: Build, mentor, and lead a high-performing software engineering team, creating an environment of collaboration, inclusion, innovation, and continuous improvement. Ensure the right balance of people, resources, budgets, and priorities across projects. Delivery excellence: Oversee the planning, execution, and delivery of software initiatives, ensuring alignment with business goals, timelines, and customer outcomes. Manage risks and dependencies proactively, and work closely with Product, Design, and Delivery partners to define scope and priorities. Technical leadership: Drive the adoption of strong engineering practices, standards, and methodologies. Provide guidance on complex technical challenges, shape the team's technical roadmap with senior engineers, and help balance technical investment with product and commercial priorities. Quality and reliability: Establish high quality standards so software meets performance, reliability, and usability expectations. Support the ongoing maintenance and improvement of existing systems, ensuring issues are resolved quickly and effectively. Tech stack Team uses a variety of technologies, including: Java, Spring, SpringBoot, Micronaut Azure Cloud, Kubernetes Kafka, IBM MQ Postgres, Redis OpenTelemetry, Dynatrace Who you are A strong software engineering background, with experience across modern architectures, cloud platforms, and scalable backend systems A track record of building, leading, and developing high-performing engineering teams Strong technical judgement across system design, software architecture, and modern engineering practices A DevOps mindset with a strong belief in "you build it, you run it" A strong focus on quality, testing, reliability, and operational excellence Excellent leadership, communication, analytical, and problem-solving skills The ability to lead senior engineers and technical partners towards clear outcomes without over-prescribing solutions Strong influencing skills and the credibility to work effectively with senior stakeholders across technical and non-technical teams A servant leadership mindset and a willingness to take ownership of complex challenges Desirable experience Knowledge of the Retail domain, particularly in supply chain and logistics, would be advantageous but is not essential What's in it for you Being a part of M&S is exactly that - becoming a part and playing your part. We're an inclusive, dynamic, exciting, and always evolving business built on core values. Here are some of the benefits we offer that make working for M&S just that little bit more special 20% Colleague discount on most things from furniture, fashion and food. A first-class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development. Having options to progress is something we're proud of at M&S. Attractive annual bonus, based on company performance and personal objectives. Competitive holiday entitlement with the potential to buy extra holiday days! Amazing perks and discounts via our M&S Choices website. Including GymSave - that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes Charity Volunteer Day - A paid day away from work to support your chosen charity. A very generous Defined Contribution Pension Scheme and Life Assurance Every colleague at M&S has access to a fantastic range of wellbeing support - this includes access to our 24/7 Virtual GP, PAM Assist to support you & your family as well as many other schemes Everyone's welcome M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That's why we're revolutionising how we work and offering our most exciting opportunities yet. There's never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact. We're an in-person business and have core collaboration days in our Support Centre each week. For most teams, this is 3 working days where we come together to collaborate, innovate, and serve our customers brilliantly. We are committed to an active Inclusion, Diversity and Equal Opportunities Policy, which starts with our recruitment and selection process, and we are happy to talk flexible working. If you consider yourself to require reasonable adjustments to any part of our recruitment process, we invite you to share those requirements with us when completing your application. We will make every effort to ensure your needs are met to provide a fair and transparent process of assessment.
22/06/2026
Full time
All the details Job purpose Join M&S Software Engineering and help shape the digital future of one of the UK's most trusted brands. You'll work on products and platforms that support millions of customers and thousands of colleagues, as part of an organisation investing heavily in becoming digital-first and engineering-led. We're looking for a Software Engineering Manager who combines strong technical judgement with a passion for building high-performing teams. In this role, you'll lead empowered, multidisciplinary engineers to design, build, release, and run robust software solutions, working in close partnership with Product and Delivery to solve meaningful customer and business problems. This role sits within the International Warehouse Products team, supporting M&S's International business across stores and online markets outside the UK and Ireland. You'll lead a team that is central to M&S's ambitious global expansion plans, building the orchestration layer that integrates Warehouse Management Systems across international hubs with core M&S systems. This is a key role in creating a scalable, flexible supply chain integration platform that helps M&S grow globally and operate more effectively across markets and partners. This is an opportunity to help shape a best-in-class engineering culture, environment, and team. If you're excited by modern technology, large-scale impact, and the chance to influence how engineering is done at M&S, this is a place where you can do some of the best work of your career. You will be responsible for Ensuring the operational stability and resilience of the software solutions owned by your team Delivering high-quality software solutions that create measurable value for the business Improving team maturity and driving progress towards, or maintaining, Elite DORA standards Championing engineering excellence and fostering a culture of innovation and continuous improvement Establishing strong engineering standards and build pipelines to support maintainability and extensibility Ensuring cross-functional requirements such as security, performance, and reliability are built into delivery Driving cloud-first thinking and modernisation across the technology landscape Making effective use of shared platforms to maximise the value delivered by engineering teams What you'll do As a Software Engineering Manager, you'll combine people leadership, technical direction, and delivery excellence to help teams solve problems through technology at scale. Team leadership: Build, mentor, and lead a high-performing software engineering team, creating an environment of collaboration, inclusion, innovation, and continuous improvement. Ensure the right balance of people, resources, budgets, and priorities across projects. Delivery excellence: Oversee the planning, execution, and delivery of software initiatives, ensuring alignment with business goals, timelines, and customer outcomes. Manage risks and dependencies proactively, and work closely with Product, Design, and Delivery partners to define scope and priorities. Technical leadership: Drive the adoption of strong engineering practices, standards, and methodologies. Provide guidance on complex technical challenges, shape the team's technical roadmap with senior engineers, and help balance technical investment with product and commercial priorities. Quality and reliability: Establish high quality standards so software meets performance, reliability, and usability expectations. Support the ongoing maintenance and improvement of existing systems, ensuring issues are resolved quickly and effectively. Tech stack Team uses a variety of technologies, including: Java, Spring, SpringBoot, Micronaut Azure Cloud, Kubernetes Kafka, IBM MQ Postgres, Redis OpenTelemetry, Dynatrace Who you are A strong software engineering background, with experience across modern architectures, cloud platforms, and scalable backend systems A track record of building, leading, and developing high-performing engineering teams Strong technical judgement across system design, software architecture, and modern engineering practices A DevOps mindset with a strong belief in "you build it, you run it" A strong focus on quality, testing, reliability, and operational excellence Excellent leadership, communication, analytical, and problem-solving skills The ability to lead senior engineers and technical partners towards clear outcomes without over-prescribing solutions Strong influencing skills and the credibility to work effectively with senior stakeholders across technical and non-technical teams A servant leadership mindset and a willingness to take ownership of complex challenges Desirable experience Knowledge of the Retail domain, particularly in supply chain and logistics, would be advantageous but is not essential What's in it for you Being a part of M&S is exactly that - becoming a part and playing your part. We're an inclusive, dynamic, exciting, and always evolving business built on core values. Here are some of the benefits we offer that make working for M&S just that little bit more special 20% Colleague discount on most things from furniture, fashion and food. A first-class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development. Having options to progress is something we're proud of at M&S. Attractive annual bonus, based on company performance and personal objectives. Competitive holiday entitlement with the potential to buy extra holiday days! Amazing perks and discounts via our M&S Choices website. Including GymSave - that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes Charity Volunteer Day - A paid day away from work to support your chosen charity. A very generous Defined Contribution Pension Scheme and Life Assurance Every colleague at M&S has access to a fantastic range of wellbeing support - this includes access to our 24/7 Virtual GP, PAM Assist to support you & your family as well as many other schemes Everyone's welcome M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That's why we're revolutionising how we work and offering our most exciting opportunities yet. There's never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact. We're an in-person business and have core collaboration days in our Support Centre each week. For most teams, this is 3 working days where we come together to collaborate, innovate, and serve our customers brilliantly. We are committed to an active Inclusion, Diversity and Equal Opportunities Policy, which starts with our recruitment and selection process, and we are happy to talk flexible working. If you consider yourself to require reasonable adjustments to any part of our recruitment process, we invite you to share those requirements with us when completing your application. We will make every effort to ensure your needs are met to provide a fair and transparent process of assessment.
Position Overview 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 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. Borrowing Analytics Engineering Team Our mission in borrowing is to enable people's financial goals through better borrowing. 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. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. Responsibilities Serve 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. Act as a key technical leader who can champion central platform initiatives that aim to elevate the data standards across borrowing and beyond. Qualifications Strong passion for data modelling, ETL projects, and Big Data. Experience working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature; comfortable with general data warehouse concepts. Committed to continuous improvement, proactively identifying opportunities and addressing challenges. Experience building robust and reliable data sets that require a high level of control. Enjoy working with cross functional fast moving teams and passionate about serving our customers. Strategic thinking about credit products and how underlying data models will unlock more insights and value. Excited about enabling other data scientists, analytics engineers, and credit analysts by sharing expertise on data architecture. Ability to shape big, ambiguous data domains and obtain the required buy in from key leaders. Capacity to shape and manage the technical roadmap of an entire domain and deliver on project plans. Leading through the contributions of others by leveraging the multiplier effect to create exponential value across borrowing and analytics engineering. Excellent cross functional stakeholder communication and effective engagement with senior technical leaders. Interview Process Our interview process involves four main stages: Technical task Three one hour sessions (final interview) It typically takes around three to four weeks, but we will work around your availability. Location & Flexibility 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. Benefits Learning budget of £1,000 a year for books, training courses and conferences. And many more benefits (see our full list of benefits). Equal Opportunities 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, veteran, neurodiversity or disability status.
22/06/2026
Full time
Position Overview 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 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. Borrowing Analytics Engineering Team Our mission in borrowing is to enable people's financial goals through better borrowing. 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. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. Responsibilities Serve 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. Act as a key technical leader who can champion central platform initiatives that aim to elevate the data standards across borrowing and beyond. Qualifications Strong passion for data modelling, ETL projects, and Big Data. Experience working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature; comfortable with general data warehouse concepts. Committed to continuous improvement, proactively identifying opportunities and addressing challenges. Experience building robust and reliable data sets that require a high level of control. Enjoy working with cross functional fast moving teams and passionate about serving our customers. Strategic thinking about credit products and how underlying data models will unlock more insights and value. Excited about enabling other data scientists, analytics engineers, and credit analysts by sharing expertise on data architecture. Ability to shape big, ambiguous data domains and obtain the required buy in from key leaders. Capacity to shape and manage the technical roadmap of an entire domain and deliver on project plans. Leading through the contributions of others by leveraging the multiplier effect to create exponential value across borrowing and analytics engineering. Excellent cross functional stakeholder communication and effective engagement with senior technical leaders. Interview Process Our interview process involves four main stages: Technical task Three one hour sessions (final interview) It typically takes around three to four weeks, but we will work around your availability. Location & Flexibility 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. Benefits Learning budget of £1,000 a year for books, training courses and conferences. And many more benefits (see our full list of benefits). Equal Opportunities 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, veteran, neurodiversity or disability status.
About RedCloud The global supply chain is broken creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board. RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain-enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment-facilitating smarter everyday business decisions for our customers, from factory to warehouse to store. Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America, we're building a more connected and efficient global trade network. Our AI labs are exploring the next generation of smart AI agents and deeper FMCG market intelligence for our growing global footprint. The Role We are seeking a highly experienced AI Lead who combines deep technical expertise with team leadership. In this role, you will design, build, and maintain AI/ML capabilities, models, and LLM powered solutions that power our products and customer experiences. You will lead a squad of AI engineers and data scientists, ensuring high quality delivery while fostering a culture of accountability, innovation, and continuous improvement. Working closely with product managers and engineering leadership, you will guide architectural decisions, support delivery excellence, and ensure AI solutions are scalable, reliable, and impactful. This is a hands on leadership role, with approximately 70% focused on technical delivery and 30% on team leadership and process optimisation. What you'll be doing Deliver AI/ML Capabilities Design, build, and deploy scalable AI/ML models, APIs, and LLM based solutions (e.g. agents, chatbots) Ensure solutions are secure, reproducible, and aligned with product requirements Drive best practices in model development, evaluation, and deployment Collaborate with product and engineering teams to deliver impactful customer facing capabilities Lead Agile Delivery Facilitate Scrum ceremonies including stand ups, sprint planning, reviews, and retrospectives Drive continuous improvement in team processes and delivery efficiency Ensure realistic planning, accurate estimation, and consistent delivery of sprint goals Promote a culture focused on outcomes over output Technical Architecture & Decision Making Own the technical direction and architectural integrity of AI/ML solutions Lead design discussions and ensure alignment with wider engineering strategy Maintain clear documentation and decision logs for architectural choices Enable team autonomy through guidance and governance rather than top down control Resolve Issues & Handle Production Incidents Investigate and resolve issues across models, data pipelines, and AI systems Lead incident response for production outages, ensuring rapid mitigation and resolution Implement improvements to prevent recurrence and enhance system reliability Collaborate with Product & Stakeholders Work closely with Product Managers to refine and prioritise AI/ML initiatives Translate business needs into scalable technical solutions Act as a bridge between technical teams and business stakeholders Ensure Quality & Best Practices Conduct code and model reviews to maintain high engineering standards Champion best practices in testing, documentation, and scalability Ensure model performance and outputs are measurable, explainable, and reliable Estimate & Plan Work Lead estimation for AI/ML experimentation and delivery Use data driven approaches to improve planning accuracy over time Keeping Pace with Technology Stay up to date with advancements in AI/ML, LLMs, and engineering practices Evaluate and introduce new tools, frameworks, and methodologies Promote innovation through experimentation and knowledge sharing Soft Skills Coach and support engineers and data scientists at all levels Provide technical guidance, career development support, and constructive feedback Foster a collaborative, high performance team environment Support hiring, onboarding, and growth of team members Communicate clearly and effectively across technical and non technical stakeholders Share progress, challenges, and insights through demos, updates, and documentation Encourage open feedback and transparent collaboration within the team Even if you don't meet every requirement, we still encourage you to apply. Your unique experiences and perspectives might be just what we're looking for. Benefits 25 days annual leave, increasing to 26 days after 12 months in the business Enhanced company pension (matched up to 5% & salary sacrifice) Healthcare cash plan with Medicash Private healthcare with Aviva Life insurance with AIG Happl, our benefit platform which provides access to pre negotiated discounts on a wide variety of services including entertainment, food, and fitness Stock / equity
22/06/2026
Full time
About RedCloud The global supply chain is broken creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board. RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain-enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment-facilitating smarter everyday business decisions for our customers, from factory to warehouse to store. Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America, we're building a more connected and efficient global trade network. Our AI labs are exploring the next generation of smart AI agents and deeper FMCG market intelligence for our growing global footprint. The Role We are seeking a highly experienced AI Lead who combines deep technical expertise with team leadership. In this role, you will design, build, and maintain AI/ML capabilities, models, and LLM powered solutions that power our products and customer experiences. You will lead a squad of AI engineers and data scientists, ensuring high quality delivery while fostering a culture of accountability, innovation, and continuous improvement. Working closely with product managers and engineering leadership, you will guide architectural decisions, support delivery excellence, and ensure AI solutions are scalable, reliable, and impactful. This is a hands on leadership role, with approximately 70% focused on technical delivery and 30% on team leadership and process optimisation. What you'll be doing Deliver AI/ML Capabilities Design, build, and deploy scalable AI/ML models, APIs, and LLM based solutions (e.g. agents, chatbots) Ensure solutions are secure, reproducible, and aligned with product requirements Drive best practices in model development, evaluation, and deployment Collaborate with product and engineering teams to deliver impactful customer facing capabilities Lead Agile Delivery Facilitate Scrum ceremonies including stand ups, sprint planning, reviews, and retrospectives Drive continuous improvement in team processes and delivery efficiency Ensure realistic planning, accurate estimation, and consistent delivery of sprint goals Promote a culture focused on outcomes over output Technical Architecture & Decision Making Own the technical direction and architectural integrity of AI/ML solutions Lead design discussions and ensure alignment with wider engineering strategy Maintain clear documentation and decision logs for architectural choices Enable team autonomy through guidance and governance rather than top down control Resolve Issues & Handle Production Incidents Investigate and resolve issues across models, data pipelines, and AI systems Lead incident response for production outages, ensuring rapid mitigation and resolution Implement improvements to prevent recurrence and enhance system reliability Collaborate with Product & Stakeholders Work closely with Product Managers to refine and prioritise AI/ML initiatives Translate business needs into scalable technical solutions Act as a bridge between technical teams and business stakeholders Ensure Quality & Best Practices Conduct code and model reviews to maintain high engineering standards Champion best practices in testing, documentation, and scalability Ensure model performance and outputs are measurable, explainable, and reliable Estimate & Plan Work Lead estimation for AI/ML experimentation and delivery Use data driven approaches to improve planning accuracy over time Keeping Pace with Technology Stay up to date with advancements in AI/ML, LLMs, and engineering practices Evaluate and introduce new tools, frameworks, and methodologies Promote innovation through experimentation and knowledge sharing Soft Skills Coach and support engineers and data scientists at all levels Provide technical guidance, career development support, and constructive feedback Foster a collaborative, high performance team environment Support hiring, onboarding, and growth of team members Communicate clearly and effectively across technical and non technical stakeholders Share progress, challenges, and insights through demos, updates, and documentation Encourage open feedback and transparent collaboration within the team Even if you don't meet every requirement, we still encourage you to apply. Your unique experiences and perspectives might be just what we're looking for. Benefits 25 days annual leave, increasing to 26 days after 12 months in the business Enhanced company pension (matched up to 5% & salary sacrifice) Healthcare cash plan with Medicash Private healthcare with Aviva Life insurance with AIG Happl, our benefit platform which provides access to pre negotiated discounts on a wide variety of services including entertainment, food, and fitness Stock / equity
Is it Permanent/ Contract: Open for both Is it Onsite/Remote/Hybrid: for London (4 days WFO, 1-day WFH mandatory) Experience 15+ years About the Role We are seeking a senior Data Architect to join the engineering organisation as part of Project Compass. This programme is delivering next-generation capabilities across Accounts (Real-Time Ledger), Payments Engine, and Foreign Exchange - all of which generate, consume, and depend on high-quality, well-governed data at scale. The Data Architect will own the end-to-end data architecture across spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real-time operational workloads. You will define how data flows from source systems into the warehouse, how application databases are modelled and managed, and how data products are exposed to downstream consumers within and beyond. This is a hands on, delivery focused role. You will work closely with Integration Architects, platform engineers, and domain product teams to translate business data requirements into durable, governed, and scalable data solutions. Key Responsibilities Data Architecture & Strategy Define and own the data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in memory (Redis), time series (TimescaleDB / InfluxDB), and document (MongoDB) stores used by applications Design the data ingestion and movement architecture - real time CDC pipelines, batch ETL/ELT patterns, and event driven feeds from the NATS messaging layer into Snowflake Define data domain boundaries, ownership, and lineage standards aligned with Project Compass product domains (RTL, Payments, FX) Produce and maintain authoritative data architecture artefacts: entity relationship models, data flow diagrams, data dictionaries, and Architecture Decision Records (ADRs) Snowflake & Data Warehouse Lead the design and evolution of the Snowflake data warehouse, including schema design (Raw / Conformed / Consumption layers), virtual warehouse sizing, and cost governance Define standards for data loading (Snowpipe, Streams & Tasks, external stages), transformation (dbt patterns), and data sharing across business units Establish Snowflake data access controls, row level security, dynamic data masking, and PII governance in line with regulatory requirements (GDPR, BCBS 239) Champion Snowflake best practices for performance tuning, clustering keys, materialised views, and query optimisation Evaluate Snowflake native capabilities (Snowpark, Cortex AI, Dynamic Tables) and recommend adoption where they accelerate data product delivery Govern the application database landscape across - reviewing schema designs, indexing strategies, and data lifecycle management across all in house databases Define patterns for operational data stores (ODS) that bridge real time application databases and the analytical warehouse layer Ensure consistency between transactional data models and their warehouse representations, minimising transformation complexity and maximising fidelity Set standards for database change management, migration tooling (Liquibase / Flyway), and schema versioning across the application estate Identify and remediate data quality issues at source, defining data contracts between application teams and downstream consumers Data Governance & Quality Define and implement data governance frameworks covering data ownership, stewardship, classification (PII, sensitive, public), and retention policies Establish data lineage and cataloguing standards, working with tooling such as Apache Atlas, Collibra, or Snowflake Horizon Catalog Design and enforce data quality rules and SLAs at ingestion, transformation, and consumption layers Collaborate with the Risk and Compliance function to ensure data architecture meets BCBS 239 Risk Data Aggregation and Reporting requirements Champion Master Data Management (MDM) principles for shared reference data (counterparty, instrument, currency) across domains AI, Analytics & Data Products Define the architecture for data products - curated, well documented datasets served to analytics, reporting, and AI/ML consumers Design feature stores and data pipelines that support AI/ML model training and inference for use cases such as FX pricing, payment anomaly detection, and limit utilisation forecasting Evaluate and integrate AI assisted data tooling (AI powered cataloguing, natural language querying, automated data quality) where it accelerates productivity Partner with the Analytics Engineering team to establish dbt modelling standards, testing frameworks, and documentation practices Work hands on across multiple product teams as a data authority, balancing strategic design with direct delivery contribution Guide and mentor application engineers on data modelling, query optimisation, and data quality best practices Engage senior stakeholders across Technology, Finance, Risk, and Operations to communicate data strategy, risks, and trade offs Facilitate data architecture working groups with platform, BI, and enterprise architecture teams to align on shared standards Core Technical Skills Data Warehouse Transformation dbt (data build tool) - modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS - S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas / Collibra / Snowflake Horizon), GDPR, BCBS 239, MDM AI / ML Data Query & Performance SQL optimisation, clustering keys, partitioning, query profiling, cost based tuning Data Landscape The Data Architect will work across the following technology landscape. Candidates should have direct experience with the majority of these platforms and the ability to define coherent architecture across heterogeneous stores: Platform / Store Primary Use Snowflake Enterprise data warehouse, analytics, reporting, data sharing Oracle DB Migration strategy, data contracts, schema versioning Redis Cache invalidation, persistence strategy, data consistency MongoDB TimescaleDB NATS JetStream AWS S3 / Glue Data lake staging, archival, batch ingestion into Snowflake Partitioning, file format (Parquet/ORC), Lake Formation governance Finance Domain Knowledge Candidates should have hands on data architecture experience in one or more of the following financial services domains: Domain Key Data Concepts Double entry accounting data models, event sourced ledgers, real time balance aggregation, reconciliation datasets Payments Engine Payment message data (ISO 20022 / SWIFT), settlement instructions, payment status lifecycle, fee and charge data Trade data models, rate feeds and time series storage, position keeping, P&L attribution data Exposure data models, limit hierarchy, breach event data, real time risk aggregation feeds Client Onboarding Client master data, KYC / AML data structures, account hierarchy, regulatory reporting feeds Regulatory Reporting BCBS 239 data lineage, EMIR / MiFID trade reporting data, data quality SLAs for regulatory submissions Experience & Profile 15+ years of progressive technology experience, with at least 5 years in senior data architecture roles Deep, hands on experience with Snowflake as an enterprise data warehouse - ideally holding Snowflake SnowPro Core or Advanced: Architect certification Proven track record of designing data architectures across heterogeneous application database landscapes in large financial institutions or fintech organisations Demonstrated experience implementing data governance frameworks, lineage tooling, and data quality programmes at programme scale Comfortable working hands on - writing dbt models, reviewing SQL, profiling queries - while operating at senior stakeholder and architecture level Experience with CDC based real time data pipelines and event driven data integration patterns Strong communicator able to convey complex data architecture decisions to both engineering teams and business stakeholders Familiarity with AI/ML data architecture patterns (feature stores, vector databases, LLM data pipelines) is a strong advantage AWS Solutions Architect or AWS Data Analytics certification is advantageous.
22/06/2026
Full time
Is it Permanent/ Contract: Open for both Is it Onsite/Remote/Hybrid: for London (4 days WFO, 1-day WFH mandatory) Experience 15+ years About the Role We are seeking a senior Data Architect to join the engineering organisation as part of Project Compass. This programme is delivering next-generation capabilities across Accounts (Real-Time Ledger), Payments Engine, and Foreign Exchange - all of which generate, consume, and depend on high-quality, well-governed data at scale. The Data Architect will own the end-to-end data architecture across spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real-time operational workloads. You will define how data flows from source systems into the warehouse, how application databases are modelled and managed, and how data products are exposed to downstream consumers within and beyond. This is a hands on, delivery focused role. You will work closely with Integration Architects, platform engineers, and domain product teams to translate business data requirements into durable, governed, and scalable data solutions. Key Responsibilities Data Architecture & Strategy Define and own the data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in memory (Redis), time series (TimescaleDB / InfluxDB), and document (MongoDB) stores used by applications Design the data ingestion and movement architecture - real time CDC pipelines, batch ETL/ELT patterns, and event driven feeds from the NATS messaging layer into Snowflake Define data domain boundaries, ownership, and lineage standards aligned with Project Compass product domains (RTL, Payments, FX) Produce and maintain authoritative data architecture artefacts: entity relationship models, data flow diagrams, data dictionaries, and Architecture Decision Records (ADRs) Snowflake & Data Warehouse Lead the design and evolution of the Snowflake data warehouse, including schema design (Raw / Conformed / Consumption layers), virtual warehouse sizing, and cost governance Define standards for data loading (Snowpipe, Streams & Tasks, external stages), transformation (dbt patterns), and data sharing across business units Establish Snowflake data access controls, row level security, dynamic data masking, and PII governance in line with regulatory requirements (GDPR, BCBS 239) Champion Snowflake best practices for performance tuning, clustering keys, materialised views, and query optimisation Evaluate Snowflake native capabilities (Snowpark, Cortex AI, Dynamic Tables) and recommend adoption where they accelerate data product delivery Govern the application database landscape across - reviewing schema designs, indexing strategies, and data lifecycle management across all in house databases Define patterns for operational data stores (ODS) that bridge real time application databases and the analytical warehouse layer Ensure consistency between transactional data models and their warehouse representations, minimising transformation complexity and maximising fidelity Set standards for database change management, migration tooling (Liquibase / Flyway), and schema versioning across the application estate Identify and remediate data quality issues at source, defining data contracts between application teams and downstream consumers Data Governance & Quality Define and implement data governance frameworks covering data ownership, stewardship, classification (PII, sensitive, public), and retention policies Establish data lineage and cataloguing standards, working with tooling such as Apache Atlas, Collibra, or Snowflake Horizon Catalog Design and enforce data quality rules and SLAs at ingestion, transformation, and consumption layers Collaborate with the Risk and Compliance function to ensure data architecture meets BCBS 239 Risk Data Aggregation and Reporting requirements Champion Master Data Management (MDM) principles for shared reference data (counterparty, instrument, currency) across domains AI, Analytics & Data Products Define the architecture for data products - curated, well documented datasets served to analytics, reporting, and AI/ML consumers Design feature stores and data pipelines that support AI/ML model training and inference for use cases such as FX pricing, payment anomaly detection, and limit utilisation forecasting Evaluate and integrate AI assisted data tooling (AI powered cataloguing, natural language querying, automated data quality) where it accelerates productivity Partner with the Analytics Engineering team to establish dbt modelling standards, testing frameworks, and documentation practices Work hands on across multiple product teams as a data authority, balancing strategic design with direct delivery contribution Guide and mentor application engineers on data modelling, query optimisation, and data quality best practices Engage senior stakeholders across Technology, Finance, Risk, and Operations to communicate data strategy, risks, and trade offs Facilitate data architecture working groups with platform, BI, and enterprise architecture teams to align on shared standards Core Technical Skills Data Warehouse Transformation dbt (data build tool) - modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS - S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas / Collibra / Snowflake Horizon), GDPR, BCBS 239, MDM AI / ML Data Query & Performance SQL optimisation, clustering keys, partitioning, query profiling, cost based tuning Data Landscape The Data Architect will work across the following technology landscape. Candidates should have direct experience with the majority of these platforms and the ability to define coherent architecture across heterogeneous stores: Platform / Store Primary Use Snowflake Enterprise data warehouse, analytics, reporting, data sharing Oracle DB Migration strategy, data contracts, schema versioning Redis Cache invalidation, persistence strategy, data consistency MongoDB TimescaleDB NATS JetStream AWS S3 / Glue Data lake staging, archival, batch ingestion into Snowflake Partitioning, file format (Parquet/ORC), Lake Formation governance Finance Domain Knowledge Candidates should have hands on data architecture experience in one or more of the following financial services domains: Domain Key Data Concepts Double entry accounting data models, event sourced ledgers, real time balance aggregation, reconciliation datasets Payments Engine Payment message data (ISO 20022 / SWIFT), settlement instructions, payment status lifecycle, fee and charge data Trade data models, rate feeds and time series storage, position keeping, P&L attribution data Exposure data models, limit hierarchy, breach event data, real time risk aggregation feeds Client Onboarding Client master data, KYC / AML data structures, account hierarchy, regulatory reporting feeds Regulatory Reporting BCBS 239 data lineage, EMIR / MiFID trade reporting data, data quality SLAs for regulatory submissions Experience & Profile 15+ years of progressive technology experience, with at least 5 years in senior data architecture roles Deep, hands on experience with Snowflake as an enterprise data warehouse - ideally holding Snowflake SnowPro Core or Advanced: Architect certification Proven track record of designing data architectures across heterogeneous application database landscapes in large financial institutions or fintech organisations Demonstrated experience implementing data governance frameworks, lineage tooling, and data quality programmes at programme scale Comfortable working hands on - writing dbt models, reviewing SQL, profiling queries - while operating at senior stakeholder and architecture level Experience with CDC based real time data pipelines and event driven data integration patterns Strong communicator able to convey complex data architecture decisions to both engineering teams and business stakeholders Familiarity with AI/ML data architecture patterns (feature stores, vector databases, LLM data pipelines) is a strong advantage AWS Solutions Architect or AWS Data Analytics certification is advantageous.
IT Application Support Technician Shift-Based, Days & Nights Milton Keynes Office Based Salary £39,800 Shift-Based Site-Based Days & Nights We are thrilled to be recruiting for an IT Application Support Technician on behalf of a global leader in engineering and automation, based in Milton Keynes. If you're looking for a hands on technical role that offers both challenge and career progression-this could be your next big move! Why Join? 25 days holiday + 8 bank holidays Career development and progression opportunities Cycle to Work Scheme Company Pension About the Role: You will play a key role in supporting highly automated warehouse systems, working in a fast paced environment where reliability is everything. Responsibilities Troubleshoot and resolve issues with Warehouse Management and Material Flow Systems Monitor server availability and perform system updates Design and run test scenarios to identify software faults Produce system documentation, user guides, and support reports Work closely with internal teams and end users to ensure system stability and uptime What You'll Need: BSc / HND / HNC in Computer Science, IT Engineering, or related discipline Strong knowledge of SQL databases (Oracle, MySQL, SQL Server) Experience with Java or other object oriented languages is advantageous Ability to analyse technical data, solve problems and work independently Excellent communication and documentation skills Willingness to work on a rotating shift pattern, including nights and weekends Ability to work on site and travel occasionally to other locations
22/06/2026
Full time
IT Application Support Technician Shift-Based, Days & Nights Milton Keynes Office Based Salary £39,800 Shift-Based Site-Based Days & Nights We are thrilled to be recruiting for an IT Application Support Technician on behalf of a global leader in engineering and automation, based in Milton Keynes. If you're looking for a hands on technical role that offers both challenge and career progression-this could be your next big move! Why Join? 25 days holiday + 8 bank holidays Career development and progression opportunities Cycle to Work Scheme Company Pension About the Role: You will play a key role in supporting highly automated warehouse systems, working in a fast paced environment where reliability is everything. Responsibilities Troubleshoot and resolve issues with Warehouse Management and Material Flow Systems Monitor server availability and perform system updates Design and run test scenarios to identify software faults Produce system documentation, user guides, and support reports Work closely with internal teams and end users to ensure system stability and uptime What You'll Need: BSc / HND / HNC in Computer Science, IT Engineering, or related discipline Strong knowledge of SQL databases (Oracle, MySQL, SQL Server) Experience with Java or other object oriented languages is advantageous Ability to analyse technical data, solve problems and work independently Excellent communication and documentation skills Willingness to work on a rotating shift pattern, including nights and weekends Ability to work on site and travel occasionally to other locations
At Bionic, we're on a mission to make it radically easier to run a small business. As the UK's leading business comparison and switching service, we help thousands of small and medium size businesses save time and money on essentials like energy, broadband, insurance, and finance. We combine smart technology with real human support to match our customers with the best deals - quickly and effortlessly. With trusted partnerships including Compare the Market, Uswitch for Business, MoneySuperMarket and we're committed to help SMEs get the best deals for their business essentials every time. Role As a Senior Data Engineer you'll be responsible for designing, building, and scaling robust, high quality data platforms that underpin critical business reporting and operational decision making. You will drive the development of data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data platform, guide best practices, and play a key role in modernising legacy processes. You will act as a technical leader within the team, shaping design decisions, mentoring engineers, and ensuring delivery of resilient, well governed data products. This role requires strong technical expertise, strategic thinking, and the ability to translate complex business needs into scalable, production grade data solutions. Key Responsibilities Design, build and optimise scalable data pipelines and data products across AWS, Snowflake and dbt, setting engineering standards and best practices. Lead the development of robust, testable dbt models and frameworks to ensure high data quality, consistency, and maintainability. Own data pipeline reliability, proactively monitoring, troubleshooting, and resolving complex data and performance issues with minimal disruption. Architect and evolve analytics ready data models (e.g., star schemas, data marts), balancing performance, flexibility, and usability. Collaborate with senior stakeholders (Analytics, Salesforce, Architecture) to define requirements and translate them into scalable technical solutions. Drive continuous improvement of data engineering practices, including CI/CD, observability, testing frameworks, and documentation standards. Provide technical leadership through mentoring, code reviews, and guidance to junior team members, fostering engineering excellence. Ensure compliance with security, governance, and data privacy requirements, embedding best practices in all solutions. Contribute to strategic data platform decisions, including tooling, architecture, and long term roadmap planning. Essential Skills and Experience Required Proven experience designing, building and maintaining scalable data pipelines and cloud based data platforms in production environments. Advanced SQL expertise, including query optimisation, performance tuning and complex data transformations. Strong Python skills for data engineering, automation and system integrations. Hands on experience with Snowflake (or similar cloud data warehouse), including data modelling, optimisation and security/access controls. Strong experience with dbt, including modelling, testing and deployment best practices. Solid knowledge of AWS data services and cloud native architectures (e.g. S3, Lambda, IAM, CloudWatch). Experience with modern software engineering practices, including Git, CI/CD and automated testing. Strong understanding of data modelling and data warehousing principles. Ability to solve complex problems, identify root causes and deliver scalable, reliable solutions. Experience leading technical delivery, influencing architectural decisions and collaborating across multiple stakeholders. Comfortable working in ambiguity, translating complex business requirements into structured technical solutions. Strong communication skills, with the ability to engage both technical and non technical audiences. Nice to have Experience with real time or streaming data architectures. Exposure to Salesforce data models and API integrations. Experience using AWS CDK for infrastructure deployment. Familiarity with orchestration tools such as Airflow. Experience implementing data observability, monitoring and alerting solutions. Knowledge of BI platforms such as Tableau and how data products are consumed by end users. Exposure to MLOps practices, including supporting machine learning pipelines, model deployment and monitoring. Awareness of emerging trends, technologies and best practices within modern data engineering. Why Join Bionic At Bionic, better never stops. You'll join a team obsessed with improvement, innovation and impact - where your expertise will directly shape how thousands of British businesses grow and thrive. Benefits We know that our employees are what sets us aside from our competitors; our benefits are just part of the way we say thanks. Health & Wellbeing Private healthcare cover Employee Assistance Programme, including a virtual GP service, priority physio & talking therapies Eyecare scheme Time Off 25 days annual leave plus the 8 UK bank holidays, increasing with tenure 1 paid family/religious day of leave per year - following successful probation period 1 paid charity volunteering day per year Option to buy/sell up to an additional 3 days leave per year Family Matters Enhanced maternity, paternity or shared parental leave 2 days off for your wedding upon joining, and up to 5 days after 2 years service Flexible working options & a hybrid work approach Financial Wellbeing Auto enrolled salary sacrifice pension scheme Life assurance Season ticket loans, salary advances & loans to buy or rent a home - based on tenure Cycle to work scheme Recognition Highflyers incentive, a VIP experience for our high performers across Bionic group to celebrate success Company summer & Christmas party celebrations, business and local zone & annual awards and recognition Long service awards
21/06/2026
Full time
At Bionic, we're on a mission to make it radically easier to run a small business. As the UK's leading business comparison and switching service, we help thousands of small and medium size businesses save time and money on essentials like energy, broadband, insurance, and finance. We combine smart technology with real human support to match our customers with the best deals - quickly and effortlessly. With trusted partnerships including Compare the Market, Uswitch for Business, MoneySuperMarket and we're committed to help SMEs get the best deals for their business essentials every time. Role As a Senior Data Engineer you'll be responsible for designing, building, and scaling robust, high quality data platforms that underpin critical business reporting and operational decision making. You will drive the development of data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data platform, guide best practices, and play a key role in modernising legacy processes. You will act as a technical leader within the team, shaping design decisions, mentoring engineers, and ensuring delivery of resilient, well governed data products. This role requires strong technical expertise, strategic thinking, and the ability to translate complex business needs into scalable, production grade data solutions. Key Responsibilities Design, build and optimise scalable data pipelines and data products across AWS, Snowflake and dbt, setting engineering standards and best practices. Lead the development of robust, testable dbt models and frameworks to ensure high data quality, consistency, and maintainability. Own data pipeline reliability, proactively monitoring, troubleshooting, and resolving complex data and performance issues with minimal disruption. Architect and evolve analytics ready data models (e.g., star schemas, data marts), balancing performance, flexibility, and usability. Collaborate with senior stakeholders (Analytics, Salesforce, Architecture) to define requirements and translate them into scalable technical solutions. Drive continuous improvement of data engineering practices, including CI/CD, observability, testing frameworks, and documentation standards. Provide technical leadership through mentoring, code reviews, and guidance to junior team members, fostering engineering excellence. Ensure compliance with security, governance, and data privacy requirements, embedding best practices in all solutions. Contribute to strategic data platform decisions, including tooling, architecture, and long term roadmap planning. Essential Skills and Experience Required Proven experience designing, building and maintaining scalable data pipelines and cloud based data platforms in production environments. Advanced SQL expertise, including query optimisation, performance tuning and complex data transformations. Strong Python skills for data engineering, automation and system integrations. Hands on experience with Snowflake (or similar cloud data warehouse), including data modelling, optimisation and security/access controls. Strong experience with dbt, including modelling, testing and deployment best practices. Solid knowledge of AWS data services and cloud native architectures (e.g. S3, Lambda, IAM, CloudWatch). Experience with modern software engineering practices, including Git, CI/CD and automated testing. Strong understanding of data modelling and data warehousing principles. Ability to solve complex problems, identify root causes and deliver scalable, reliable solutions. Experience leading technical delivery, influencing architectural decisions and collaborating across multiple stakeholders. Comfortable working in ambiguity, translating complex business requirements into structured technical solutions. Strong communication skills, with the ability to engage both technical and non technical audiences. Nice to have Experience with real time or streaming data architectures. Exposure to Salesforce data models and API integrations. Experience using AWS CDK for infrastructure deployment. Familiarity with orchestration tools such as Airflow. Experience implementing data observability, monitoring and alerting solutions. Knowledge of BI platforms such as Tableau and how data products are consumed by end users. Exposure to MLOps practices, including supporting machine learning pipelines, model deployment and monitoring. Awareness of emerging trends, technologies and best practices within modern data engineering. Why Join Bionic At Bionic, better never stops. You'll join a team obsessed with improvement, innovation and impact - where your expertise will directly shape how thousands of British businesses grow and thrive. Benefits We know that our employees are what sets us aside from our competitors; our benefits are just part of the way we say thanks. Health & Wellbeing Private healthcare cover Employee Assistance Programme, including a virtual GP service, priority physio & talking therapies Eyecare scheme Time Off 25 days annual leave plus the 8 UK bank holidays, increasing with tenure 1 paid family/religious day of leave per year - following successful probation period 1 paid charity volunteering day per year Option to buy/sell up to an additional 3 days leave per year Family Matters Enhanced maternity, paternity or shared parental leave 2 days off for your wedding upon joining, and up to 5 days after 2 years service Flexible working options & a hybrid work approach Financial Wellbeing Auto enrolled salary sacrifice pension scheme Life assurance Season ticket loans, salary advances & loans to buy or rent a home - based on tenure Cycle to work scheme Recognition Highflyers incentive, a VIP experience for our high performers across Bionic group to celebrate success Company summer & Christmas party celebrations, business and local zone & annual awards and recognition Long service awards
What We Are Looking For At OMNIA Training, we've brought together some of the UK's most innovative defence training organisations into a single consortium to deliver one powerful mission: to transform the British Army's training system and create the best trained Army in the world. OMNIA Training will redefine the British Army's collective training, standing up as the Army's Strategic Training Partner. To do that, we are looking for the best and brightest minds from across the UK. We are backed by British innovation and powered by world class experts, like you. OMNIA Training is primed by Raytheon UK, but all five partners (Raytheon, Rheinmetall, Capita, Skyral and Cervus) are key to delivering the scope of the contract. Supporting innovation, Rheinmetall Electronics UK (REUK) is entrusted with the trialling and acceptance of new products into the Army training system. This is more than a job - it's a mission. You will be part of a high impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA Training's vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win. The Enterprise Architect will define and govern the strategic architecture underpinning complex Defence systems and services. The role ensures alignment across solution design, configuration management, data integration (including Government Furnished Information), and enterprise level architectural principles. This role requires deep engagement with system and data architecture, secure by design practices, configuration control, and planning for legacy data migration into the Defence Developer Services (D2S1) environment. You will also contribute to governance forums, maintain architecture artefacts, and ensure traceability across the system lifecycle. The role offers the opportunity to lead and shape the architectural direction of trial and test activities, working within advanced simulation and integration environments. You will collaborate closely with engineering, acquisition, and operational teams across Defence to ensure that capability architectures are validated, interoperable with legacy systems, and aligned with strategic objectives. Your contributions will be critical in assuring readiness for service, enabling data driven decision making, and supporting the deployment of cutting edge simulation training systems through robust, secure, and scalable architectures. Required Qualifications Degree in Engineering, Systems Engineering, Defence Technology, or a related discipline. Proven experience as an Enterprise Architect within Defence, government, or other regulated domains. Strong understanding of configuration management, system integration, and data architecture in complex, secure environments. Experience developing architecture artefacts using Model Based Systems Engineering (MBSE) tools such as Sparx EA, ArchiMate 3.1. or equivalent. Demonstrable knowledge of standards based architectural frameworks (e.g., TOGAF, MODAF). Experience with handling and planning for legacy data migration, including working with Government Furnished Information (GFI) or equivalent third party data sets and sources. Knowledge of data governance, data quality management, and Extract, Transform, Load (ETL) planning. Familiarity with Secure by Design principles, accreditation processes (e.g., RMADS), and cybersecurity standards applicable to Defence or secure systems. Strong stakeholder engagement skills and ability to influence governance and decision making forums. Desired Additional Experience Experience working with MOD or Army platforms, systems, or data environments (e.g., D2S, Army Data Warehouse). Understanding of Integrated Logistics Support (ILS), RAM targets, and through life support integration. Exposure to DevSecOps practices, including Continuous Integration/Continuous Deployment (CI/CD) pipelines and Infrastructure as Code (IaC) in secure environments. Familiarity with safety and environmental assurance practices, including ALARP (As Low As Reasonably Practicable). We're looking for a proactive and pragmatic Enterprise Architect who thrives in complex, regulated Defence environments and takes ownership of delivering secure, scalable, and standards aligned architectural solutions. You'll be someone who understands the importance of aligning technical architecture with real world operational needs, ensuring that capabilities are not only compliant, but also interoperable, sustainable, and effective in the hands of the Army. Benefits 25 days holidays plus Bank Holidays (increasing with service) Flexible Working 4 times Death in Service Scheme (3 months of service) BUPA Healthcare & Dental Care Insurance (after successful completion of probation period) Long Service Rewards with additional holidays Enhanced Employer Pension contributions of 6.8% Salary sacrifice schemes for Cycle to Work Excellent Training Opportunities Recommend a friend scheme Buying & Selling of Annual Leave Staff social events throughout the year Recognition for your work We are proud to be a Disability Confident employer, committed to fostering an inclusive and supportive workplace for all. We are proud supporters of the Armed Forces Community. We welcome applications from Veterans, Reservists, Cadet Force Adult Volunteers and military spouses and partners. Applicants must be willing to work within the Defence sector and undertake Baseline Personnel Security Standard (BPSS) and Security Clearance (SC) checks, if not already held.
21/06/2026
Full time
What We Are Looking For At OMNIA Training, we've brought together some of the UK's most innovative defence training organisations into a single consortium to deliver one powerful mission: to transform the British Army's training system and create the best trained Army in the world. OMNIA Training will redefine the British Army's collective training, standing up as the Army's Strategic Training Partner. To do that, we are looking for the best and brightest minds from across the UK. We are backed by British innovation and powered by world class experts, like you. OMNIA Training is primed by Raytheon UK, but all five partners (Raytheon, Rheinmetall, Capita, Skyral and Cervus) are key to delivering the scope of the contract. Supporting innovation, Rheinmetall Electronics UK (REUK) is entrusted with the trialling and acceptance of new products into the Army training system. This is more than a job - it's a mission. You will be part of a high impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA Training's vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win. The Enterprise Architect will define and govern the strategic architecture underpinning complex Defence systems and services. The role ensures alignment across solution design, configuration management, data integration (including Government Furnished Information), and enterprise level architectural principles. This role requires deep engagement with system and data architecture, secure by design practices, configuration control, and planning for legacy data migration into the Defence Developer Services (D2S1) environment. You will also contribute to governance forums, maintain architecture artefacts, and ensure traceability across the system lifecycle. The role offers the opportunity to lead and shape the architectural direction of trial and test activities, working within advanced simulation and integration environments. You will collaborate closely with engineering, acquisition, and operational teams across Defence to ensure that capability architectures are validated, interoperable with legacy systems, and aligned with strategic objectives. Your contributions will be critical in assuring readiness for service, enabling data driven decision making, and supporting the deployment of cutting edge simulation training systems through robust, secure, and scalable architectures. Required Qualifications Degree in Engineering, Systems Engineering, Defence Technology, or a related discipline. Proven experience as an Enterprise Architect within Defence, government, or other regulated domains. Strong understanding of configuration management, system integration, and data architecture in complex, secure environments. Experience developing architecture artefacts using Model Based Systems Engineering (MBSE) tools such as Sparx EA, ArchiMate 3.1. or equivalent. Demonstrable knowledge of standards based architectural frameworks (e.g., TOGAF, MODAF). Experience with handling and planning for legacy data migration, including working with Government Furnished Information (GFI) or equivalent third party data sets and sources. Knowledge of data governance, data quality management, and Extract, Transform, Load (ETL) planning. Familiarity with Secure by Design principles, accreditation processes (e.g., RMADS), and cybersecurity standards applicable to Defence or secure systems. Strong stakeholder engagement skills and ability to influence governance and decision making forums. Desired Additional Experience Experience working with MOD or Army platforms, systems, or data environments (e.g., D2S, Army Data Warehouse). Understanding of Integrated Logistics Support (ILS), RAM targets, and through life support integration. Exposure to DevSecOps practices, including Continuous Integration/Continuous Deployment (CI/CD) pipelines and Infrastructure as Code (IaC) in secure environments. Familiarity with safety and environmental assurance practices, including ALARP (As Low As Reasonably Practicable). We're looking for a proactive and pragmatic Enterprise Architect who thrives in complex, regulated Defence environments and takes ownership of delivering secure, scalable, and standards aligned architectural solutions. You'll be someone who understands the importance of aligning technical architecture with real world operational needs, ensuring that capabilities are not only compliant, but also interoperable, sustainable, and effective in the hands of the Army. Benefits 25 days holidays plus Bank Holidays (increasing with service) Flexible Working 4 times Death in Service Scheme (3 months of service) BUPA Healthcare & Dental Care Insurance (after successful completion of probation period) Long Service Rewards with additional holidays Enhanced Employer Pension contributions of 6.8% Salary sacrifice schemes for Cycle to Work Excellent Training Opportunities Recommend a friend scheme Buying & Selling of Annual Leave Staff social events throughout the year Recognition for your work We are proud to be a Disability Confident employer, committed to fostering an inclusive and supportive workplace for all. We are proud supporters of the Armed Forces Community. We welcome applications from Veterans, Reservists, Cadet Force Adult Volunteers and military spouses and partners. Applicants must be willing to work within the Defence sector and undertake Baseline Personnel Security Standard (BPSS) and Security Clearance (SC) checks, if not already held.
Salary: £75,000 - 75,000 per year Requirements A bachelors degree in IT, Systems, Sciences, or Maths At least 5 years experience across BI, data warehousing, data management, and ETL Strong experience delivering data solutions in BI warehouses and/or data lakes, on-premises and in the cloud Hands on experience with big data tools, data ingestion, and streaming Experience with data lakes and visualisation, including semantic modelling Strong understanding of data architecture Confident stakeholder engagement and cross team collaboration skills A passion for sharing knowledge and supporting team development Responsibilities Own the development of scalable data pipelines and data solutions Work independently while collaborating with teams across the business Deliver reliable, high quality data that powers data flows and predictive models Use a range of languages and tools to build and manage robust data pipelines across multiple systems Contribute to key decisions that support an outcome focused approach Identify opportunities to bring in new data and unlock more value from existing data Collaborate with Data Science, Analytics, Architecture, and wider tech teams to design, build, test, and maintain scalable data environments Understand GDPR principles and raise concerns where needed Support and mentor fellow Data Engineers Listen to technical and business needs and communicate complex ideas clearly and accessibly Spot potential challenges early and shape proactive solutions Technologies Big Data Cloud ETL Support Benefits We offer a wide range of benefits including bonus schemes, a pension of up to 12%, matched contributions up to 6% of salary, Vitality health insurance, and life assurance.
21/06/2026
Full time
Salary: £75,000 - 75,000 per year Requirements A bachelors degree in IT, Systems, Sciences, or Maths At least 5 years experience across BI, data warehousing, data management, and ETL Strong experience delivering data solutions in BI warehouses and/or data lakes, on-premises and in the cloud Hands on experience with big data tools, data ingestion, and streaming Experience with data lakes and visualisation, including semantic modelling Strong understanding of data architecture Confident stakeholder engagement and cross team collaboration skills A passion for sharing knowledge and supporting team development Responsibilities Own the development of scalable data pipelines and data solutions Work independently while collaborating with teams across the business Deliver reliable, high quality data that powers data flows and predictive models Use a range of languages and tools to build and manage robust data pipelines across multiple systems Contribute to key decisions that support an outcome focused approach Identify opportunities to bring in new data and unlock more value from existing data Collaborate with Data Science, Analytics, Architecture, and wider tech teams to design, build, test, and maintain scalable data environments Understand GDPR principles and raise concerns where needed Support and mentor fellow Data Engineers Listen to technical and business needs and communicate complex ideas clearly and accessibly Spot potential challenges early and shape proactive solutions Technologies Big Data Cloud ETL Support Benefits We offer a wide range of benefits including bonus schemes, a pension of up to 12%, matched contributions up to 6% of salary, Vitality health insurance, and life assurance.
Analytics Engineering at Monzo Analytics Engineering is at the core of how we build our data to enable Monzo to make better and faster decisions by having a performant, scalable, and high quality data warehouse. As an Analytics Engineer, you will work collaboratively with product, engineering, and data science to build downstream data models from backend services, support internal reporting, machine learning, financial and regulatory use cases, and optimise the data warehouse. Responsibilities Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning, and 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, including payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, collaborating with others to make it happen. Apply established best practices and standards defined by the team 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. Own and support the pipelines you contribute to; on call support out of hours may be expected from time to time. Qualifications You enjoy working with cross functional fast moving teams and are passionate about serving small businesses. You can 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 work comfortably 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 Warehouse concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. Nice to have Experience working within a finance function or knowledge of accounting. Experience working in a highly regulated environment (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 or Luigi. Experience with dbt, dataform or similar tooling. Familiarity with agile ways of working (Kanban, Scrum). Benefits We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we are open to distributed working within the UK with occasional 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. 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. 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.
21/06/2026
Full time
Analytics Engineering at Monzo Analytics Engineering is at the core of how we build our data to enable Monzo to make better and faster decisions by having a performant, scalable, and high quality data warehouse. As an Analytics Engineer, you will work collaboratively with product, engineering, and data science to build downstream data models from backend services, support internal reporting, machine learning, financial and regulatory use cases, and optimise the data warehouse. Responsibilities Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning, and 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, including payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, collaborating with others to make it happen. Apply established best practices and standards defined by the team 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. Own and support the pipelines you contribute to; on call support out of hours may be expected from time to time. Qualifications You enjoy working with cross functional fast moving teams and are passionate about serving small businesses. You can 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 work comfortably 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 Warehouse concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. Nice to have Experience working within a finance function or knowledge of accounting. Experience working in a highly regulated environment (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 or Luigi. Experience with dbt, dataform or similar tooling. Familiarity with agile ways of working (Kanban, Scrum). Benefits We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we are open to distributed working within the UK with occasional 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. 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. 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.
Salary: £15,000 - 20,000 per year Requirements Strong hands on experience in building production grade data pipelines and orchestration using Python Expert level skills in analytical SQL, query optimization, and data modeling Familiarity with Azure Functions, Azure Data Factory, Azure Storage, and cloud security fundamentals In depth understanding of data architecture principles and scalable enterprise data design Proficient in Git, CI/CD, automated testing, and modern engineering practices Experience with API ingestion, SFTP ingestion, and resilient pipeline design Exceptional problem solving and architectural thinking abilities Strong communication and stakeholder collaboration skills Capability to lead and provide clarity in complex technical environments Experience in regulated or high assurance data environments is desirable Responsibilities Lead the design and implementation of scalable data architectures using Bronze/Silver/Gold layered models Shape the platforms architectural roadmap, ensuring alignment with cutting edge engineering practices Develop secure and observable ingestion and transformation pipelines Spearhead the migration from legacy ETL tools to modern Azure based pipelines Build and maintain high performance SQL transformations, curated layers, and reusable data models Embed CI/CD, testing, version control, and observability into workflows Ensure robust data validation, reconciliation, profiling, and auditability across platform layers Collaborate with business stakeholders to guarantee analytical and operational needs are met Mentor fellow data engineers, fostering technical growth within the ICDP team Collaborate with Product teams, IT&D, and external partners to achieve high quality outcomes Serve as a technical authority on engineering approaches, patterns, and standards Technologies API Azure CI/CD Cloud ETL Git Python SQL Security AI Data Warehouse Databricks Support REST More We are an employment consultancy dedicated to enhancing everyones chances of joining the workforce, valuing diversity and inclusivity. We are looking for a Senior Data Engineer for a 3-month temporary role in Warwick, where you will play a crucial role in improving our clients Interconnectors Data Platform. This hybrid role offers a rate of £500-£550 per day, and you will be part of a transformative journey in the Utilities sector that impacts decision making at every level.
21/06/2026
Full time
Salary: £15,000 - 20,000 per year Requirements Strong hands on experience in building production grade data pipelines and orchestration using Python Expert level skills in analytical SQL, query optimization, and data modeling Familiarity with Azure Functions, Azure Data Factory, Azure Storage, and cloud security fundamentals In depth understanding of data architecture principles and scalable enterprise data design Proficient in Git, CI/CD, automated testing, and modern engineering practices Experience with API ingestion, SFTP ingestion, and resilient pipeline design Exceptional problem solving and architectural thinking abilities Strong communication and stakeholder collaboration skills Capability to lead and provide clarity in complex technical environments Experience in regulated or high assurance data environments is desirable Responsibilities Lead the design and implementation of scalable data architectures using Bronze/Silver/Gold layered models Shape the platforms architectural roadmap, ensuring alignment with cutting edge engineering practices Develop secure and observable ingestion and transformation pipelines Spearhead the migration from legacy ETL tools to modern Azure based pipelines Build and maintain high performance SQL transformations, curated layers, and reusable data models Embed CI/CD, testing, version control, and observability into workflows Ensure robust data validation, reconciliation, profiling, and auditability across platform layers Collaborate with business stakeholders to guarantee analytical and operational needs are met Mentor fellow data engineers, fostering technical growth within the ICDP team Collaborate with Product teams, IT&D, and external partners to achieve high quality outcomes Serve as a technical authority on engineering approaches, patterns, and standards Technologies API Azure CI/CD Cloud ETL Git Python SQL Security AI Data Warehouse Databricks Support REST More We are an employment consultancy dedicated to enhancing everyones chances of joining the workforce, valuing diversity and inclusivity. We are looking for a Senior Data Engineer for a 3-month temporary role in Warwick, where you will play a crucial role in improving our clients Interconnectors Data Platform. This hybrid role offers a rate of £500-£550 per day, and you will be part of a transformative journey in the Utilities sector that impacts decision making at every level.
Salary: £28,277 - 35,345 per year Requirements Experienced Power BI Developer with deep expertise in Microsoft Power BI, including Desktop, Service, gateways and workspace management. Strong skills in DAX and data modelling. Experience working with large and complex data sets, writing optimised queries and understanding performance impacts. Strong understanding of data warehousing concepts, star schemas, ETL/data ingestion and relational database systems such as SQL Server, Azure SQL or equivalent. Experience implementing role-based security and row-level security in Power BI. Good visualisation design sense, including knowledge of UX, dashboard best practices, filters, slicers, and mobile versus desktop views. Familiarity with cloud platforms such as Azure, Power BI Premium or Embedded is beneficial. A Microsoft Certified: Data Analyst Associate certification is advantageous. Excellent collaboration and communication skills with technical and non-technical stakeholders, able to work well under tight deadlines. Proactive, detail-oriented, and able to think at an executive level, translating complex data into clear insights. Responsibilities Engage with business stakeholders and Business Analysts to gather and clarify reporting requirements, KPIs, data sources and user stories. Develop and maintain Power BI dashboards, reports and scorecards that deliver actionable insights across operational, tactical and executive levels. Build robust data models in Power BI, defining tables, relationships, hierarchies and measures using DAX, while applying performance optimisation and refresh strategies. Ensure data accuracy, consistency and integrity by reconciling Power BI outputs with source systems, data warehouses and business rules. Implement role-based security, including row-level security and workspace permissions, in the Power BI service. Apply visual design best practices, including layout, interactivity, filter and slicer design, performance considerations, drill-throughs and mobile-ready views. Work with the Data Engineering team to ensure data pipelines, data marts and warehouses deliver appropriate and performant data. Monitor and optimise report performance, including data refresh, query performance, caching and incremental loads. Document technical designs, data flows, reporting specifications, user guides and training materials. Conduct user acceptance testing and incorporate feedback to refine reports. Support change-management and training programme by delivering training sessions, creating quick-start guides and addressing user queries during early adoption. Maintain, enhance and decommission reports as required, manage a backlog of enhancements and defects, and ensure version control. Stay current with Power BI features and analytics trends, and recommend continuous improvements. Technologies Azure Cloud DAX ETL Embedded Support Mobile Power BI SQL Security UX UI Design About the role This is a 12 month fixed term Power BI Developer role within our Technology & Information team, supporting the Everyday Excellence programme from our Coventry office. Work will be on an agile basis, typically 2 to 4 times per month. We offer inclusive wellbeing benefits, flexible working opportunities and strong support for learning and career development through training programmes and professional qualifications.
21/06/2026
Full time
Salary: £28,277 - 35,345 per year Requirements Experienced Power BI Developer with deep expertise in Microsoft Power BI, including Desktop, Service, gateways and workspace management. Strong skills in DAX and data modelling. Experience working with large and complex data sets, writing optimised queries and understanding performance impacts. Strong understanding of data warehousing concepts, star schemas, ETL/data ingestion and relational database systems such as SQL Server, Azure SQL or equivalent. Experience implementing role-based security and row-level security in Power BI. Good visualisation design sense, including knowledge of UX, dashboard best practices, filters, slicers, and mobile versus desktop views. Familiarity with cloud platforms such as Azure, Power BI Premium or Embedded is beneficial. A Microsoft Certified: Data Analyst Associate certification is advantageous. Excellent collaboration and communication skills with technical and non-technical stakeholders, able to work well under tight deadlines. Proactive, detail-oriented, and able to think at an executive level, translating complex data into clear insights. Responsibilities Engage with business stakeholders and Business Analysts to gather and clarify reporting requirements, KPIs, data sources and user stories. Develop and maintain Power BI dashboards, reports and scorecards that deliver actionable insights across operational, tactical and executive levels. Build robust data models in Power BI, defining tables, relationships, hierarchies and measures using DAX, while applying performance optimisation and refresh strategies. Ensure data accuracy, consistency and integrity by reconciling Power BI outputs with source systems, data warehouses and business rules. Implement role-based security, including row-level security and workspace permissions, in the Power BI service. Apply visual design best practices, including layout, interactivity, filter and slicer design, performance considerations, drill-throughs and mobile-ready views. Work with the Data Engineering team to ensure data pipelines, data marts and warehouses deliver appropriate and performant data. Monitor and optimise report performance, including data refresh, query performance, caching and incremental loads. Document technical designs, data flows, reporting specifications, user guides and training materials. Conduct user acceptance testing and incorporate feedback to refine reports. Support change-management and training programme by delivering training sessions, creating quick-start guides and addressing user queries during early adoption. Maintain, enhance and decommission reports as required, manage a backlog of enhancements and defects, and ensure version control. Stay current with Power BI features and analytics trends, and recommend continuous improvements. Technologies Azure Cloud DAX ETL Embedded Support Mobile Power BI SQL Security UX UI Design About the role This is a 12 month fixed term Power BI Developer role within our Technology & Information team, supporting the Everyday Excellence programme from our Coventry office. Work will be on an agile basis, typically 2 to 4 times per month. We offer inclusive wellbeing benefits, flexible working opportunities and strong support for learning and career development through training programmes and professional qualifications.
Quality TechnicianApplylocations: Droitwich spa, UKtime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR4599 If you're looking for a progressive and rewarding career and you thrive in a fast-paced, fun and team-orientated environment, then look no further! Overview of Vax: Our heritage-rich, expert-led business has always had the same goal: to prioritize innovation and to design easy-to-use products that seamlessly integrate into our customers' lives, offering reliable, quick solutions to cleaning homes, whatever the mess.Vax has forged its reputation as a brand that focuses on the needs of its customers. Our culture of innovation is at the heart of everything we do and we work hard to constantly think of new ways to improve our products, ensuring that we deliver premium quality products for our customers. Quality Technician This is a great role to join our well-established Quality Function at Vax. Reporting to the Quality Manager, the technician is responsible for supporting the Quality team by performing key inspection and quality assurance activities. This is a brilliant entry-level role for an inquisitive technician looking to forge a career within an experienced Quality team.Once in the role, you will be responsible for ensuring customers' returns are inspected and responded to in the priority of receipt. You will be required to have completed a comprehensive inspection, recording evidence of your findings and responding to customers with the outcome. This role will require great planning and organisational skills daily. Day to Day The Quality technician is a very practical role with time spent with the Quality engineers in the workshops and warehouse understanding, documenting, and recording corrective actions. Day-to-day duties include - Complete personal injury and property damage activities to identify quality issues Perform wet damage inspections and unfit-for-purpose inspections to assess product condition and determine necessary actions Inspect customer returns, determine appropriate actions, and respond accordingly. Manage the workshop and warehouse, ensuring an organised and safe working environment. Oversee stock movements, ensuring accurate tracking and storage of returned and defective products. Assist Quality Engineers with investigations, providing detailed inspection reports. Collaborate with Customer Service teams, providing insights on customer returns and quality concerns What we need from you Inspection Accuracy. This is a large part of the role therefore, we need an individual who prides themself on accuracy Strong attention to detail and ability to identify defects. Hands-on approach with a problem-solving mindset. Understanding of quality control processes and inspection techniques. Ability to work independently and as part of a team is made up of people who have a shared understanding of our mission and vision. Our values define who we are and what we stand for;Trust - We're experts and everything we do is based on brilliant knowledge.Honesty - Our commitment to doing the right means we are always open and transparent.Resilience - For decades, we have embraced change and been agile in what we do. We aren't easily discouraged.Innovation - We're curious and explore opportunities, innovating to benefit our customers and business.Valued - We are better when each of us feels included and respected for who we are and what we contribute.Energy - We are positive thinkers, excited about what we do. About UsTechtronic Industries (TTI) is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, Floor Care and Appliances for Do-It-Yourselfer (DIY), professional and industrial users in the home improvement, repair, maintenance, construction and infrastructure industries. Our ValuesAn unrelenting strategic focus on Powerful Brands, Innovative Products, Operational Excellence and Exceptional People drives our culture. • Brand loyalty is a cornerstone for sustainable growth and increased profitability. We highly regard and respect our brands and all of the end-users who invest their confidence in them. • TTI is delivering a tidal wave of change in multiple industries with its cordless technology leadership. Whether power tools, floorcare, or outdoor products. We believe in continually challenging accepted standards, exploiting, adapting, and improving technologies to create better products for higher-value brands. • Our operational excellence is the engine that provides the power to innovation. This means examining every single aspect of bringing a product to market and questioning how to improve the efficiency of even the smallest detail. • TTI understands that the greatest investment for every organization is in its people. At TTI, we invest heavily in developing current and future leaders. Filling the growing TTI management needs is the Leadership Development Program through aggressive university recruitment, training, and promotion ladder for high-potential talent. • Instilling ESG (Environmental Social Governance) best practices along our value chain drives TTI's approach to sustainability in the way we operate, what we produce, how we source and the way we live. Sustainability is at the core of our business today and is the bedrock for both the development of our business.
21/06/2026
Full time
Quality TechnicianApplylocations: Droitwich spa, UKtime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR4599 If you're looking for a progressive and rewarding career and you thrive in a fast-paced, fun and team-orientated environment, then look no further! Overview of Vax: Our heritage-rich, expert-led business has always had the same goal: to prioritize innovation and to design easy-to-use products that seamlessly integrate into our customers' lives, offering reliable, quick solutions to cleaning homes, whatever the mess.Vax has forged its reputation as a brand that focuses on the needs of its customers. Our culture of innovation is at the heart of everything we do and we work hard to constantly think of new ways to improve our products, ensuring that we deliver premium quality products for our customers. Quality Technician This is a great role to join our well-established Quality Function at Vax. Reporting to the Quality Manager, the technician is responsible for supporting the Quality team by performing key inspection and quality assurance activities. This is a brilliant entry-level role for an inquisitive technician looking to forge a career within an experienced Quality team.Once in the role, you will be responsible for ensuring customers' returns are inspected and responded to in the priority of receipt. You will be required to have completed a comprehensive inspection, recording evidence of your findings and responding to customers with the outcome. This role will require great planning and organisational skills daily. Day to Day The Quality technician is a very practical role with time spent with the Quality engineers in the workshops and warehouse understanding, documenting, and recording corrective actions. Day-to-day duties include - Complete personal injury and property damage activities to identify quality issues Perform wet damage inspections and unfit-for-purpose inspections to assess product condition and determine necessary actions Inspect customer returns, determine appropriate actions, and respond accordingly. Manage the workshop and warehouse, ensuring an organised and safe working environment. Oversee stock movements, ensuring accurate tracking and storage of returned and defective products. Assist Quality Engineers with investigations, providing detailed inspection reports. Collaborate with Customer Service teams, providing insights on customer returns and quality concerns What we need from you Inspection Accuracy. This is a large part of the role therefore, we need an individual who prides themself on accuracy Strong attention to detail and ability to identify defects. Hands-on approach with a problem-solving mindset. Understanding of quality control processes and inspection techniques. Ability to work independently and as part of a team is made up of people who have a shared understanding of our mission and vision. Our values define who we are and what we stand for;Trust - We're experts and everything we do is based on brilliant knowledge.Honesty - Our commitment to doing the right means we are always open and transparent.Resilience - For decades, we have embraced change and been agile in what we do. We aren't easily discouraged.Innovation - We're curious and explore opportunities, innovating to benefit our customers and business.Valued - We are better when each of us feels included and respected for who we are and what we contribute.Energy - We are positive thinkers, excited about what we do. About UsTechtronic Industries (TTI) is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, Floor Care and Appliances for Do-It-Yourselfer (DIY), professional and industrial users in the home improvement, repair, maintenance, construction and infrastructure industries. Our ValuesAn unrelenting strategic focus on Powerful Brands, Innovative Products, Operational Excellence and Exceptional People drives our culture. • Brand loyalty is a cornerstone for sustainable growth and increased profitability. We highly regard and respect our brands and all of the end-users who invest their confidence in them. • TTI is delivering a tidal wave of change in multiple industries with its cordless technology leadership. Whether power tools, floorcare, or outdoor products. We believe in continually challenging accepted standards, exploiting, adapting, and improving technologies to create better products for higher-value brands. • Our operational excellence is the engine that provides the power to innovation. This means examining every single aspect of bringing a product to market and questioning how to improve the efficiency of even the smallest detail. • TTI understands that the greatest investment for every organization is in its people. At TTI, we invest heavily in developing current and future leaders. Filling the growing TTI management needs is the Leadership Development Program through aggressive university recruitment, training, and promotion ladder for high-potential talent. • Instilling ESG (Environmental Social Governance) best practices along our value chain drives TTI's approach to sustainability in the way we operate, what we produce, how we source and the way we live. Sustainability is at the core of our business today and is the bedrock for both the development of our business.
Workshop EngineerApplylocations: Bridgend, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR-About Linde Material Handling Linde Material Handling is one of the world's leading manufacturers of forklift trucks and warehouse equipment. We operate in over 100 countries worldwide and have around 13,000 people working for the brand. A worldwide network of more than 8,500 service technicians ensures maximum availability of Linde trucks and solutions, and based on its worldwide logistics network, Linde guarantees spare part delivery within 24 hours. Linde Material Handling offers a range of challenging careers across the country, and we are keen to talk to you about the direction in which you would like your career to go. We are currently looking for a Workshop Engineer to join our team in our Bridgend woekshop. We are looking for vehicle technicians or mechanical engineers who have experience working as a forklift technician, plant fitter, plant technician, vehicle technician or a similar type of role. Experience within plant equipment, powered access equipment, agricultural machinery, motor vehicles or industrial cleaners may make this role perfect for you! Working with everything from small pallet trucks, through to IC trucks, VNA trucks and automated trucks, you will be required to find, diagnose, and rectify faults, and undertake preventative maintenance on Linde forklifts and other material handling equipment.# We offer: Who are we looking for? To be considered for this role, you will need experience in at least one of the following areas: Mechanical engineering Electrical engineering Hydraulics Ideally you will have an NVQ level 3 (or equivalent) qualification, although this is not essential. You will need to be IT literate and able to use latest technology to keep accurate records and place orders. You must hold a full UK driving licence. You will need to have the following personal attributes: Good communication skills to liaise with our customers and your internal colleagues Ability to work both independently and as part of a team Take pride in your work and complete tasks to the highest standard A high level of accuracy and attention to detail A positive and can-do attitude Flexibility to adapt to the changing needs of the role A desire to be a Linde brand ambassador# Tasks and Qualifications: What we Offer? Salary will depend on experience40 hour working weekOvertime opportunities25 days annual leaveCompany pension scheme - 6% employer contribution; minimum 4% employee contributionDiscount scheme, with access to deals from some of the UK's largest brandsWorld class Linde specialised product trainingFull Forklift Driver Licence What to Expect? Structured 6-week on-boarding and training planBuddy support system in placeIn boot overnight parts deliveriesPPE and Uniform suppliedUniform cleaning serviceOngoing manufacturer training on our market-leading range of material handling equipmentLocal support from a network of colleaguesVaried role with day-to-day different challenges About us Linde Material Handling is a leading global manufacturer of forklift trucks and warehouse trucks, and a provider of intralogistics solutions and services. As an innovation leader, we deliver progressive products and tailored solutions, which meet all individual requirements that an application or company may have.We are represented in more than 100 countries worldwide with our own branches. The company's international network includes production and assembly plants in Germany, France, the Czech Republic, the USA, and China as well as more than 700 sales and service locations. Around the world, we have some 13,000 people working passionately on holistic intralogistics solutions, to help boost our customers' performance in the long term.Linde is part of the KION Group, which is the largest manufacturer of forklift trucks and warehouse trucks in Europe, measured by units. Within the KION Group, we are helping to shape the future together with our strong brands Linde, STILL and Dematic and represent the very best our industry has to offer. The KION Group is a global enterprise made up of more than 42,000 employees in more than 100 countries. Our culture is shaped by the shared values of the KION Group: integrity, collaboration, courage, and excellence.
21/06/2026
Full time
Workshop EngineerApplylocations: Bridgend, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR-About Linde Material Handling Linde Material Handling is one of the world's leading manufacturers of forklift trucks and warehouse equipment. We operate in over 100 countries worldwide and have around 13,000 people working for the brand. A worldwide network of more than 8,500 service technicians ensures maximum availability of Linde trucks and solutions, and based on its worldwide logistics network, Linde guarantees spare part delivery within 24 hours. Linde Material Handling offers a range of challenging careers across the country, and we are keen to talk to you about the direction in which you would like your career to go. We are currently looking for a Workshop Engineer to join our team in our Bridgend woekshop. We are looking for vehicle technicians or mechanical engineers who have experience working as a forklift technician, plant fitter, plant technician, vehicle technician or a similar type of role. Experience within plant equipment, powered access equipment, agricultural machinery, motor vehicles or industrial cleaners may make this role perfect for you! Working with everything from small pallet trucks, through to IC trucks, VNA trucks and automated trucks, you will be required to find, diagnose, and rectify faults, and undertake preventative maintenance on Linde forklifts and other material handling equipment.# We offer: Who are we looking for? To be considered for this role, you will need experience in at least one of the following areas: Mechanical engineering Electrical engineering Hydraulics Ideally you will have an NVQ level 3 (or equivalent) qualification, although this is not essential. You will need to be IT literate and able to use latest technology to keep accurate records and place orders. You must hold a full UK driving licence. You will need to have the following personal attributes: Good communication skills to liaise with our customers and your internal colleagues Ability to work both independently and as part of a team Take pride in your work and complete tasks to the highest standard A high level of accuracy and attention to detail A positive and can-do attitude Flexibility to adapt to the changing needs of the role A desire to be a Linde brand ambassador# Tasks and Qualifications: What we Offer? Salary will depend on experience40 hour working weekOvertime opportunities25 days annual leaveCompany pension scheme - 6% employer contribution; minimum 4% employee contributionDiscount scheme, with access to deals from some of the UK's largest brandsWorld class Linde specialised product trainingFull Forklift Driver Licence What to Expect? Structured 6-week on-boarding and training planBuddy support system in placeIn boot overnight parts deliveriesPPE and Uniform suppliedUniform cleaning serviceOngoing manufacturer training on our market-leading range of material handling equipmentLocal support from a network of colleaguesVaried role with day-to-day different challenges About us Linde Material Handling is a leading global manufacturer of forklift trucks and warehouse trucks, and a provider of intralogistics solutions and services. As an innovation leader, we deliver progressive products and tailored solutions, which meet all individual requirements that an application or company may have.We are represented in more than 100 countries worldwide with our own branches. The company's international network includes production and assembly plants in Germany, France, the Czech Republic, the USA, and China as well as more than 700 sales and service locations. Around the world, we have some 13,000 people working passionately on holistic intralogistics solutions, to help boost our customers' performance in the long term.Linde is part of the KION Group, which is the largest manufacturer of forklift trucks and warehouse trucks in Europe, measured by units. Within the KION Group, we are helping to shape the future together with our strong brands Linde, STILL and Dematic and represent the very best our industry has to offer. The KION Group is a global enterprise made up of more than 42,000 employees in more than 100 countries. Our culture is shaped by the shared values of the KION Group: integrity, collaboration, courage, and excellence.
Test Engineer Location: Chandler's Ford - May move to Romsey Type: Temporary to permanent position to start asap Salary: £dependent on experience Hours: 37.5 hours per week, Monday to Friday (occasional overtime and weekend work may be required) About the Role: Dynamite Recruitment is currently working in partnership with a well-established business that is based in the Southampton area. Our client is looking for a practical, hands on Test Engineer to join a growing team. This is a varied role combining warehouse operations, equipment testing, and light engineering modifications. You will play a key role in ensuring all equipment is prepared, tested, modified where required, and ready for dispatch to the highest standards. This position would suit someone with experience in a warehouse, engineering, manufacturing, or technical environment who enjoys a mix of physical and technical work. Key Responsibilities Warehouse Operations Safely load and unload delivery vehicles Operate a forklift truck Receive, unpack, and inspect incoming stock Organise and maintain warehouse storage areas Pick and prepare equipment for customer orders Repackage equipment to ensure safe transportation Equipment Testing & Preparation Test associated equipment to company standards Record and report test results as required Apply branding and labelling in accordance with company guidelines Ensure all equipment is fully prepared and ready for dispatch Technical & Engineering Duties Carry out minor equipment modifications, including installation of higher-pressure pumps and bypasses Maintain high standards of quality and safety throughout all work Assist in identifying and resolving technical issues where required Customer & Team Support Support customer Factory Acceptance Tests (FAT) Assist with customer training sessions when required Provide occasional support to the service team What We're Looking For Essential Valid Counterbalance Forklift Truck License Experience working in a warehouse, engineering, or technical environment Good mechanical aptitude and practical hands on skills Strong organisational skills and attention to detail Ability to work independently and as part of a team Good communication skills Additional Information Occasional local travel may be required Overtime and weekend work may be necessary to meet business demands
21/06/2026
Full time
Test Engineer Location: Chandler's Ford - May move to Romsey Type: Temporary to permanent position to start asap Salary: £dependent on experience Hours: 37.5 hours per week, Monday to Friday (occasional overtime and weekend work may be required) About the Role: Dynamite Recruitment is currently working in partnership with a well-established business that is based in the Southampton area. Our client is looking for a practical, hands on Test Engineer to join a growing team. This is a varied role combining warehouse operations, equipment testing, and light engineering modifications. You will play a key role in ensuring all equipment is prepared, tested, modified where required, and ready for dispatch to the highest standards. This position would suit someone with experience in a warehouse, engineering, manufacturing, or technical environment who enjoys a mix of physical and technical work. Key Responsibilities Warehouse Operations Safely load and unload delivery vehicles Operate a forklift truck Receive, unpack, and inspect incoming stock Organise and maintain warehouse storage areas Pick and prepare equipment for customer orders Repackage equipment to ensure safe transportation Equipment Testing & Preparation Test associated equipment to company standards Record and report test results as required Apply branding and labelling in accordance with company guidelines Ensure all equipment is fully prepared and ready for dispatch Technical & Engineering Duties Carry out minor equipment modifications, including installation of higher-pressure pumps and bypasses Maintain high standards of quality and safety throughout all work Assist in identifying and resolving technical issues where required Customer & Team Support Support customer Factory Acceptance Tests (FAT) Assist with customer training sessions when required Provide occasional support to the service team What We're Looking For Essential Valid Counterbalance Forklift Truck License Experience working in a warehouse, engineering, or technical environment Good mechanical aptitude and practical hands on skills Strong organisational skills and attention to detail Ability to work independently and as part of a team Good communication skills Additional Information Occasional local travel may be required Overtime and weekend work may be necessary to meet business demands
What we do :At Sonoco Chesterfield we manufacture composite cans used as packaging mainly for food and powdered beverages.You have probably seen some of our products on the shelves in the supermarket: Pringles, the nation's favourite Bisto, Nestlé Coffee Mate, SlimFast powdered beverages, Heinz Baby Food, etc We are aiming to be one of the first fully paperboard cylindrical packing supplier, where our packaging is durable and 100% recyclablePurpose of Job:Within the operations department and reporting directly to the Engineering Manager, your role is to improve the efficiency and reliability of our plant manufacturing processes by application automation.Your day to day job will consist in:Supporting the production and engineering team through line breakdowns, supporting fault finding of the root cause and designing the issue out in the shortest period possible.You'll be supported by the shift engineer team; the process improvement engineers as well as our operators.Running Automation projects to plan for continued upgrade of equipment and control systems, ensuring none of our equipment becomes obsolete and out of date.You will also be involved in projects and day to day activities in our sister site at Bradford.Additional support required for: 5S, SMED, Centre lining, Process Control Automation, product defect identification systems, component lifespan identification.Machines installation & qualifications on site: Factory Acceptance Test, Commissioning, Team Training.New products introduction : trials of new materials and new products launch support at manufacturing level.Role within the company and stakeholder interactions:The candidate will report to the site Engineering Manager.The candidate will have to interact with multiple stakeholders on a day-to-day basis: Manufacturing, Engineering, Warehouse, Supply Chain , sister plants (based in Europe), SuppliersThe Automation Systems Engineer will be expected to be a subject matter expert and be able to guide/mentor engineers within the business.Key Activitiesprovide technical support to all areas daily across electrical, mechanical and automation disciplines.Configuration and programming of controllers and visualizations systems using Siemens (Simatic Manager and TIA Portal and WinCC flexible software).Project planning and programming of drive technology and servo drives - with emphasis on SEW Drive as well as Allen Bradley systems.Development, conception, design and creation of hardware / circuit diagrams.Automation troubleshooting following a recognisable troubleshooting process.Experience with bus systems and bus technology such as "Profinet" and "Profibus" with knowledge of systems such as ASI bus and CAN bus.Project Management and Project Coordination of site automation projects.Utilise AutoCad/Cad systems to maintain documentation updates, producing 2D CAD drawings of control panels, P&IDs and electrical wiring diagrams.Provide onsite services to assist in start-up or troubleshooting.Support and lead automation activities at both the Chesterfield and Bradford Production Sites.Develop HMI's for operator use.Coordinating with cross-functional team(s) to resolve automation issues.Write programs for new designed automatic and semi-automatic machines and conveyor systems for Siemens and Allen Bradley hardware.Debug and test new or modified PLC and robotic programs on the production floor.Conduct comprehensive machine and system testing.Ensure the department operates with due regard to current legislation, company and statutory requirementsEnsure the safe and efficient operation of equipment throughout the siteInstallation of production and plant equipment, commissioning, breakdown analysis and repairIdentify areas in which engineering improvements can be made to increase safety, quality, efficiency, or reduce wasteAssist with the training of company apprentices and shift EngineersAssist with developing operational manuals for newly designed machines and conveyor systems.Assist in risk assessment of newly designed machines with emphasis on machine safety.Help refine and develop programming standards and methods.Coordinate with other engineers and programmers on large systems and machines.Maintain and enhance the software and robotics solutions for the two sites.Maintain and document the appropriate software changes and updates to support equipment modifications and continuing operation.Work with Manufacturing/Operations to identify and troubleshoot machine control failures.Specify instrumentation and control hardware for equipment upgrades and future equipment lines.Will keep in line with new technology and advise the site accordinglyRunning testing and diagnostics on IT systems to identify potential problem.Identifying and resolving malfunctions within the system.Developing and installing new hardware or software to update and improve the functionality of systemsLiaising with outside suppliers or developers to source the most effective hardware or software for the company's needsCreating schematics plans of the systemBuilding robust backups that can be accessed in the event of system failure.Training shift Engineers and Process Improvement Engineers to work within the systems and to resolve issues on their own.Liaising with operational staff to ensure that systems can Complete designed tasks toLead improvement activities/projects across site, covering all equipment and facilities.Key Measurables:% Unplanned Downtime on focus machinery% Implementation of project work% People trained to correct operating level on focus machinery% People trained on problem solving$ saved by continuous improvement projects implementedCANDIDATE'S EXPERIENCEQualifications and ExperienceRequired:HNC/Degree qualified Electrical EngineeringProven Knowledge and experience in Siemens S5, S7, Allen Bradley. (this includes all aspects of drives, inverters and programming)Proven capability in Problem Solving (8D, Green Belt Lean 6 Sigma, UPS, A3, )Experience in a FMCG environmentDesirable:Graduate Masters / Bachelor in a Technical / Manufacturing / Sciences subject2 year or more of experience in a process control / engineering roleElectrically Biased multiskilled Engineering backgroundLean Six Sigma Green Belt qualified or equivalentSkills and KnowledgesAbility to analyse complex sets of data quickly.Priorities activities based on daily workload and medium projects.Ability to train and coach people.Excellent communication: written, spoken, visual.Excellent computer skills: mainly Microsoft Excel, PowerPoint, and emailPersonal AttributesMust be curious.Must be willing to learn and develop personal knowledge.Bias for action / Enthusiastic with drive for continuous improvementMust be an excellent team player with good interpersonal skills able to communicate at all levels.Logical with a key eye for detailsExcellent customer focus required.Must be willing to travel, both UK and EuropeWorking EnvironmentThe position is based in Chesterfield plant but can require visits to our manufacturing plants in UK & Europe as well as visits to our Suppliers or Customers in the UK. are an equal opportunity employer, and we strictly prohibit and do not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, national origin or ancestry, sex, pregnancy, sexual orientation, marital status, gender identity or expression, age, disability, genetic information, veteran status, or any legally protected characteristic.
21/06/2026
Full time
What we do :At Sonoco Chesterfield we manufacture composite cans used as packaging mainly for food and powdered beverages.You have probably seen some of our products on the shelves in the supermarket: Pringles, the nation's favourite Bisto, Nestlé Coffee Mate, SlimFast powdered beverages, Heinz Baby Food, etc We are aiming to be one of the first fully paperboard cylindrical packing supplier, where our packaging is durable and 100% recyclablePurpose of Job:Within the operations department and reporting directly to the Engineering Manager, your role is to improve the efficiency and reliability of our plant manufacturing processes by application automation.Your day to day job will consist in:Supporting the production and engineering team through line breakdowns, supporting fault finding of the root cause and designing the issue out in the shortest period possible.You'll be supported by the shift engineer team; the process improvement engineers as well as our operators.Running Automation projects to plan for continued upgrade of equipment and control systems, ensuring none of our equipment becomes obsolete and out of date.You will also be involved in projects and day to day activities in our sister site at Bradford.Additional support required for: 5S, SMED, Centre lining, Process Control Automation, product defect identification systems, component lifespan identification.Machines installation & qualifications on site: Factory Acceptance Test, Commissioning, Team Training.New products introduction : trials of new materials and new products launch support at manufacturing level.Role within the company and stakeholder interactions:The candidate will report to the site Engineering Manager.The candidate will have to interact with multiple stakeholders on a day-to-day basis: Manufacturing, Engineering, Warehouse, Supply Chain , sister plants (based in Europe), SuppliersThe Automation Systems Engineer will be expected to be a subject matter expert and be able to guide/mentor engineers within the business.Key Activitiesprovide technical support to all areas daily across electrical, mechanical and automation disciplines.Configuration and programming of controllers and visualizations systems using Siemens (Simatic Manager and TIA Portal and WinCC flexible software).Project planning and programming of drive technology and servo drives - with emphasis on SEW Drive as well as Allen Bradley systems.Development, conception, design and creation of hardware / circuit diagrams.Automation troubleshooting following a recognisable troubleshooting process.Experience with bus systems and bus technology such as "Profinet" and "Profibus" with knowledge of systems such as ASI bus and CAN bus.Project Management and Project Coordination of site automation projects.Utilise AutoCad/Cad systems to maintain documentation updates, producing 2D CAD drawings of control panels, P&IDs and electrical wiring diagrams.Provide onsite services to assist in start-up or troubleshooting.Support and lead automation activities at both the Chesterfield and Bradford Production Sites.Develop HMI's for operator use.Coordinating with cross-functional team(s) to resolve automation issues.Write programs for new designed automatic and semi-automatic machines and conveyor systems for Siemens and Allen Bradley hardware.Debug and test new or modified PLC and robotic programs on the production floor.Conduct comprehensive machine and system testing.Ensure the department operates with due regard to current legislation, company and statutory requirementsEnsure the safe and efficient operation of equipment throughout the siteInstallation of production and plant equipment, commissioning, breakdown analysis and repairIdentify areas in which engineering improvements can be made to increase safety, quality, efficiency, or reduce wasteAssist with the training of company apprentices and shift EngineersAssist with developing operational manuals for newly designed machines and conveyor systems.Assist in risk assessment of newly designed machines with emphasis on machine safety.Help refine and develop programming standards and methods.Coordinate with other engineers and programmers on large systems and machines.Maintain and enhance the software and robotics solutions for the two sites.Maintain and document the appropriate software changes and updates to support equipment modifications and continuing operation.Work with Manufacturing/Operations to identify and troubleshoot machine control failures.Specify instrumentation and control hardware for equipment upgrades and future equipment lines.Will keep in line with new technology and advise the site accordinglyRunning testing and diagnostics on IT systems to identify potential problem.Identifying and resolving malfunctions within the system.Developing and installing new hardware or software to update and improve the functionality of systemsLiaising with outside suppliers or developers to source the most effective hardware or software for the company's needsCreating schematics plans of the systemBuilding robust backups that can be accessed in the event of system failure.Training shift Engineers and Process Improvement Engineers to work within the systems and to resolve issues on their own.Liaising with operational staff to ensure that systems can Complete designed tasks toLead improvement activities/projects across site, covering all equipment and facilities.Key Measurables:% Unplanned Downtime on focus machinery% Implementation of project work% People trained to correct operating level on focus machinery% People trained on problem solving$ saved by continuous improvement projects implementedCANDIDATE'S EXPERIENCEQualifications and ExperienceRequired:HNC/Degree qualified Electrical EngineeringProven Knowledge and experience in Siemens S5, S7, Allen Bradley. (this includes all aspects of drives, inverters and programming)Proven capability in Problem Solving (8D, Green Belt Lean 6 Sigma, UPS, A3, )Experience in a FMCG environmentDesirable:Graduate Masters / Bachelor in a Technical / Manufacturing / Sciences subject2 year or more of experience in a process control / engineering roleElectrically Biased multiskilled Engineering backgroundLean Six Sigma Green Belt qualified or equivalentSkills and KnowledgesAbility to analyse complex sets of data quickly.Priorities activities based on daily workload and medium projects.Ability to train and coach people.Excellent communication: written, spoken, visual.Excellent computer skills: mainly Microsoft Excel, PowerPoint, and emailPersonal AttributesMust be curious.Must be willing to learn and develop personal knowledge.Bias for action / Enthusiastic with drive for continuous improvementMust be an excellent team player with good interpersonal skills able to communicate at all levels.Logical with a key eye for detailsExcellent customer focus required.Must be willing to travel, both UK and EuropeWorking EnvironmentThe position is based in Chesterfield plant but can require visits to our manufacturing plants in UK & Europe as well as visits to our Suppliers or Customers in the UK. are an equal opportunity employer, and we strictly prohibit and do not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, national origin or ancestry, sex, pregnancy, sexual orientation, marital status, gender identity or expression, age, disability, genetic information, veteran status, or any legally protected characteristic.
LendInvest is the UK's leading FinTech platform for property finance. Over the past 17 years, we have grown from just our two founders to a team of over 200 working to make property finance simple for everyone. A workplace culture built around trying new things, getting things done, and having fun while we do it has helped us lend more than £7.5 billion of mortgages, put thousands of new or improved homes into the UK housing market, and successfully launch on the London Stock Exchange. We have big plans to continue growing the business, our products, our technology, and our people. About your work Reporting to the Head of Engineering, this is a critical "doer-leader" position focused on stabilising and remediating our data foundations while shaping our long term data strategy. This role is ideally suited to a current Senior or Lead Data Engineer ready to take on team leadership or an existing Data Team Lead looking for a new challenge. You will begin as a hands on technical lead, with a clear path to owning the data platform and building and leading the team around it. You will inherit a complex architectural landscape and play a key technical role working alongside our architecture team for our 2026 Data Transformation Programme. Initially, you will own technical direction, challenging external partners where required to remediate legacy ingestion issues. Following the initial transformation phase, you will take full ownership of the platform, ensuring data integrity and improving confidence in data driven decision making across the business. Key Responsibilities Partner with external delivery specialists to troubleshoot and resolve "inherited" ingestion failures and silent data mutations. Take responsibility for a complex data ecosystem, addressing legacy ingestion patterns while incrementally building towards a more scalable, maintainable, and well architected platform. Automate manual data reconciliations and implement robust observability, testing, and validation frameworks to detect silent data issues, enforce data integrity, and improve trust in our pipelines. Manage the transition from partner led delivery to a sustainable internal "run" model, ensuring knowledge is fully transferred, documented, and embedded within the team. Build and scale a new internal data engineering function (initially hiring 1-2 engineers), reducing reliance on external partners. Establish engineering standards and challenge existing practices where necessary, and upskill Data Analysts to ensure insights are built on a governed, high trust data foundation. About you Expertise in Python (or similar) and advanced SQL, with experience building and maintaining reliable, well structured data pipelines and transformation layers. Hands on experience designing and operating cloud based data platforms (e.g., AWS + modern warehouse), including orchestration, storage, and compute. Lead by example, setting engineering standards, mentoring others, and helping build a high performing data engineering capability. Experience applying testing, CI/CD, infrastructure as code, and version control to data platforms to ensure reliability and maintainability. Track record of implementing data validation, observability, and lineage to improve data trust and transparency. Comfortable working with existing platforms, identifying root causes of instability or inefficiency, and incrementally improving them. Able to work closely with analysts, product, and engineering teams to align data solutions with business needs. Benefits & perks Competitive salary + company bonus scheme Hybrid working policy 25 days holiday (increasing with the length of service) Private healthcare Enhanced parental leave Matched pension contributions up to 4% Critical illness cover Employee Assistance Programme & Mental Health support Life assurance Regular performance reviews to promote a culture of growth and development Leadership training for managers Give as you earn scheme for charitable donations Support for attending conferences and professional learning & development Discounts via Perkbox Cycle to work scheme Season ticket loan Electric car loan scheme Monthly socials & annual offsite Diversity, Inclusion & Belonging at LendInvest At LI we believe in bringing your whole selves to work, we are committed to a culture of belonging where individuals can form a genuine community. We are proud to be an equal opportunities employer and are committed to building a team that represents a variety of backgrounds, perspectives and skills. We are happy to discuss and implement reasonable adjustments to support candidates throughout the recruitment process.
21/06/2026
Full time
LendInvest is the UK's leading FinTech platform for property finance. Over the past 17 years, we have grown from just our two founders to a team of over 200 working to make property finance simple for everyone. A workplace culture built around trying new things, getting things done, and having fun while we do it has helped us lend more than £7.5 billion of mortgages, put thousands of new or improved homes into the UK housing market, and successfully launch on the London Stock Exchange. We have big plans to continue growing the business, our products, our technology, and our people. About your work Reporting to the Head of Engineering, this is a critical "doer-leader" position focused on stabilising and remediating our data foundations while shaping our long term data strategy. This role is ideally suited to a current Senior or Lead Data Engineer ready to take on team leadership or an existing Data Team Lead looking for a new challenge. You will begin as a hands on technical lead, with a clear path to owning the data platform and building and leading the team around it. You will inherit a complex architectural landscape and play a key technical role working alongside our architecture team for our 2026 Data Transformation Programme. Initially, you will own technical direction, challenging external partners where required to remediate legacy ingestion issues. Following the initial transformation phase, you will take full ownership of the platform, ensuring data integrity and improving confidence in data driven decision making across the business. Key Responsibilities Partner with external delivery specialists to troubleshoot and resolve "inherited" ingestion failures and silent data mutations. Take responsibility for a complex data ecosystem, addressing legacy ingestion patterns while incrementally building towards a more scalable, maintainable, and well architected platform. Automate manual data reconciliations and implement robust observability, testing, and validation frameworks to detect silent data issues, enforce data integrity, and improve trust in our pipelines. Manage the transition from partner led delivery to a sustainable internal "run" model, ensuring knowledge is fully transferred, documented, and embedded within the team. Build and scale a new internal data engineering function (initially hiring 1-2 engineers), reducing reliance on external partners. Establish engineering standards and challenge existing practices where necessary, and upskill Data Analysts to ensure insights are built on a governed, high trust data foundation. About you Expertise in Python (or similar) and advanced SQL, with experience building and maintaining reliable, well structured data pipelines and transformation layers. Hands on experience designing and operating cloud based data platforms (e.g., AWS + modern warehouse), including orchestration, storage, and compute. Lead by example, setting engineering standards, mentoring others, and helping build a high performing data engineering capability. Experience applying testing, CI/CD, infrastructure as code, and version control to data platforms to ensure reliability and maintainability. Track record of implementing data validation, observability, and lineage to improve data trust and transparency. Comfortable working with existing platforms, identifying root causes of instability or inefficiency, and incrementally improving them. Able to work closely with analysts, product, and engineering teams to align data solutions with business needs. Benefits & perks Competitive salary + company bonus scheme Hybrid working policy 25 days holiday (increasing with the length of service) Private healthcare Enhanced parental leave Matched pension contributions up to 4% Critical illness cover Employee Assistance Programme & Mental Health support Life assurance Regular performance reviews to promote a culture of growth and development Leadership training for managers Give as you earn scheme for charitable donations Support for attending conferences and professional learning & development Discounts via Perkbox Cycle to work scheme Season ticket loan Electric car loan scheme Monthly socials & annual offsite Diversity, Inclusion & Belonging at LendInvest At LI we believe in bringing your whole selves to work, we are committed to a culture of belonging where individuals can form a genuine community. We are proud to be an equal opportunities employer and are committed to building a team that represents a variety of backgrounds, perspectives and skills. We are happy to discuss and implement reasonable adjustments to support candidates throughout the recruitment process.
Senior Lead Full Stack Software Engineer - Cybersecurity and Technology Controls As a Senior Lead Full Stack Software Engineer at JPMorgan Chase within Cybersecurity and Technology Controls, you serve as a seasoned member of an engineering team that leads the delivery of software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Your solutions directly enable Cyber Operations users and stakeholders through delivery and refinement of critical technology solutions with tamper proof, audit defensible methods across multiple technical areas within various business functions in support of the firm's business objectives. You will lead the design and implementation of scalable and maintainable front end solutions. You will collaborate closely with product managers, UX/UI designers, and backend engineers to deliver high quality user experiences. Your role involves mentoring junior developers and promoting best practices in coding and testing, driving technical decisions and ensuring feasibility of UI/UX designs. Together, we will create innovative products that delight our users. Job responsibilities Lead the design and launch of scalable web applications with a focus on quality and user experience. Architect scalable and maintainable front end solutions. Conduct load and performance testing to ensure optimal responsiveness and stability. Ensure the technical feasibility of UI/UX designs. Build and maintain ETL/ELT pipelines and data models within data warehouses, such as ingesting data from multiple Cyber Intelligence vendors. Collaborate with cross functional teams to understand requirements, develop solutions, and deliver high quality software solutions. Troubleshoot and debug issues, perform root cause analysis, and implement effective solutions. Write clean, efficient, and maintainable code in production following best practices and coding standards, such as Test Driven Development and rigorous unit/integration testing. Conduct code reviews, provide constructive feedback, and lead team members. Stay up to date with emerging technologies, trends, and best practices in software engineering, cloud computing, and Cybersecurity. Add to a team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud based environment. 7+ years of work related experience in a professional software engineering role and leading a team/s. Experience with front end technologies, such as HTML5, CSS3, and JavaScript. Hands on experience with React.js and its core principles. Strong understanding of API protocols and asynchronous request handling, including REST and GraphQL. Experience with relational (SQL) and NoSQL databases, including data modelling and optimization. Experience in Java and Spring Boot for backend development and system architecture. Solid understanding of agile methodologies and DevOps best practices, such as CI/CD, application resiliency, security, Git/GitHub, and Test Driven Development. Strong proficiency in Python, with a deep understanding of object oriented programming principles. Strong proficiency in SQL, including building data pipelines, data models, and data transformation within data warehouses; knowledge of tools such as DBT is desired. Strong problem solving, communication, and leadership skills. Demonstrated ability to leverage AI powered coding assistants to accelerate development, improve code quality, and integrate best practices across the software lifecycle, exercising sound judgment on when to rely on automation versus writing code by hand. Preferred qualifications, capabilities, and skills Experience with big data technologies, such as Splunk, Trino, and Apache Iceberg. AI/ML experience with building models. AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer). Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
21/06/2026
Full time
Senior Lead Full Stack Software Engineer - Cybersecurity and Technology Controls As a Senior Lead Full Stack Software Engineer at JPMorgan Chase within Cybersecurity and Technology Controls, you serve as a seasoned member of an engineering team that leads the delivery of software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Your solutions directly enable Cyber Operations users and stakeholders through delivery and refinement of critical technology solutions with tamper proof, audit defensible methods across multiple technical areas within various business functions in support of the firm's business objectives. You will lead the design and implementation of scalable and maintainable front end solutions. You will collaborate closely with product managers, UX/UI designers, and backend engineers to deliver high quality user experiences. Your role involves mentoring junior developers and promoting best practices in coding and testing, driving technical decisions and ensuring feasibility of UI/UX designs. Together, we will create innovative products that delight our users. Job responsibilities Lead the design and launch of scalable web applications with a focus on quality and user experience. Architect scalable and maintainable front end solutions. Conduct load and performance testing to ensure optimal responsiveness and stability. Ensure the technical feasibility of UI/UX designs. Build and maintain ETL/ELT pipelines and data models within data warehouses, such as ingesting data from multiple Cyber Intelligence vendors. Collaborate with cross functional teams to understand requirements, develop solutions, and deliver high quality software solutions. Troubleshoot and debug issues, perform root cause analysis, and implement effective solutions. Write clean, efficient, and maintainable code in production following best practices and coding standards, such as Test Driven Development and rigorous unit/integration testing. Conduct code reviews, provide constructive feedback, and lead team members. Stay up to date with emerging technologies, trends, and best practices in software engineering, cloud computing, and Cybersecurity. Add to a team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud based environment. 7+ years of work related experience in a professional software engineering role and leading a team/s. Experience with front end technologies, such as HTML5, CSS3, and JavaScript. Hands on experience with React.js and its core principles. Strong understanding of API protocols and asynchronous request handling, including REST and GraphQL. Experience with relational (SQL) and NoSQL databases, including data modelling and optimization. Experience in Java and Spring Boot for backend development and system architecture. Solid understanding of agile methodologies and DevOps best practices, such as CI/CD, application resiliency, security, Git/GitHub, and Test Driven Development. Strong proficiency in Python, with a deep understanding of object oriented programming principles. Strong proficiency in SQL, including building data pipelines, data models, and data transformation within data warehouses; knowledge of tools such as DBT is desired. Strong problem solving, communication, and leadership skills. Demonstrated ability to leverage AI powered coding assistants to accelerate development, improve code quality, and integrate best practices across the software lifecycle, exercising sound judgment on when to rely on automation versus writing code by hand. Preferred qualifications, capabilities, and skills Experience with big data technologies, such as Splunk, Trino, and Apache Iceberg. AI/ML experience with building models. AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer). Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.