the company has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. The Technology Department delivers differentiation, scalability and security for the business. Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and support teams work in agile 'streams' aligned to specific business areas. Our other teams work enterprise wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. The Software Development function creates and maintains applications, frameworks and other software components to deliver to business requirements. Developers conceive, specify, design, engineer, document, test, and deliver bug fixes as needed to provide high quality software solutions. Each Development team is aligned to one of the company's business divisions and works with a corresponding Business Technology and Application Support team. The Role As a hands on Salesforce Developer and Functional Architect, you will be responsible for defining, designing, and delivering end to end Salesforce solutions, combining strategic functional leadership with hands on configuration and build responsibilities. This role bridges business and technology while actively contributing to solution implementation on the platform. The role ensures that business requirements are translated into scalable, user centric solutions, while also directly configuring and delivering core platform capabilities such as data models, automation, and security. This position is ideal for professionals who can own the solution from concept through to build and deployment. Vacancy Number: VN2902 Overall Responsibilities Solution Design & Architecture Define end to end Salesforce functional solutions aligned with business objectives Design scalable data models, business processes, and user journeys Ensure solutions adhere to Salesforce best practices and enterprise architecture Translate business requirements into high level solution designs and functional specifications Hands On Configuration & Build Configure Salesforce platform components including objects, fields, and relationships Build automation using Flows, validation rules, and approval processes Implement security models (profiles, permission sets, sharing rules) Develop reports and dashboards to meet business needs Ensure solutions are practical, optimised, and maintainable through direct involvement in build Administrative & Operational Support Support day to day Salesforce administrative activities alongside project delivery Manage data requests, including data uploads, cleansing, and maintenance Create and maintain reports and dashboards to support business insights and decision making Assist with user management, access requests, and basic system administration tasks Respond to ad hoc business requests and provide timely operational support Stakeholder Engagement & Requirement Management Conduct workshops and discovery sessions with business stakeholders Gather, analyse, and document business requirements Convert requirements into user stories with clear acceptance criteria Act as a trusted advisor to stakeholders, providing guidance on Salesforce capabilities and constraints Vendor & Partner Management Manage relationships with external vendors and implementation partners Provide clear functional direction and oversight to vendor teams Review and validate vendor deliverables for quality and alignment to standards Track vendor performance against scope, timelines, and SLAs Act as the primary functional liaison between internal teams and external partners Governance & Best Practices Establish and enforce Salesforce design and configuration standards Ensure solutions are scalable, secure, and aligned with long term strategy Maintain documentation and promote consistency across implementations Identify and mitigate risks, technical debt, and design gaps Delivery, Testing & Support Support full delivery lifecycle including build, SIT, UAT, and deployment Ensure solutions meet business expectations and quality standards before release Provide post go live support and drive continuous improvements Troubleshoot issues and implement enhancements The company may require you to carry out other duties from time to time. Competencies, Skills and Experience Essential Experience working within the Salesforce ecosystem, across functional, development, administrative, and solution delivery roles Proven ability to design and configure solutions, including objects, fields, flows, validation rules, and security models Solid understanding of Salesforce data modelling, security, and reporting Experience translating business requirements into functional designs, user stories, and solutions Strong stakeholder engagement and workshop facilitation skills Hands on experience with Salesforce administration, including: Data management (data loads, cleansing, maintenance) Report and dashboard creation, and user access and system administration Experience delivering solutions across the full lifecycle (design, build, test, deploy, support) Ability to enforce Salesforce best practices and governance standards Experience working in Agile delivery environments Strong problem solving, communication, and interpersonal skills Ability to balance architecture responsibilities with hands on delivery Desirable Experience managing vendors, system integrators, or implementation partners Familiar with Salesforce development, including Apex classes, triggers, and Lightning Web Components (LWC), enabling scalable and efficient solutions across the platform. Previous experience in a Functional Developer, Lead, or Architect role Experience working with complex integrations Knowledge of release management and DevOps processes Experience mentoring or leading junior team members Familiarity with industry specific Salesforce solutions (e.g., Financial Services, Retail, etc.) Salesforce certifications (e.g., Administrator, Advanced Admin, Business Analyst, Sales/Service Cloud Consultant) Experience driving user adoption and change management initiatives Competencies A collaborative team player, approachable, self sufficient and able to positively influence the working environment. Demonstrates curiosity and a continuous improvement mindset. Resilient in a challenging, fast paced environment. Excels at building relationships, networking, and influencing stakeholders at all levels. Strategic collaborator with insight and agility, able to anticipate future challenges and ensure operational effectiveness. Conduct Rules Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Be collaborative by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients Act with integrity we pride ourselves on our honesty and high ethical standards. We apply these values when working with all our clients, colleagues and other stakeholders Be adaptable and entrepreneurial we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients. We are interested in the world around us and inquisitive about understanding the challenges and opportunities our clients face. Be respectful how we treat each other, and our clients says everything about who we are. We always act respectfully and treat people fairly in everything we do. Nurture talent we aim to grow our own talent and make the company the place ambitious, hardworking and talented people choose to build their career. This means giving and taking stretch opportunities, taking risks, and committing to career development and support - for ourselves and our teams. Adaptable and Nimble Our size and flexibility is an advantage. We are big enough to support our client's various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction. The company is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also . click apply for full job details
27/07/2026
Full time
the company has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. The Technology Department delivers differentiation, scalability and security for the business. Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and support teams work in agile 'streams' aligned to specific business areas. Our other teams work enterprise wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. The Software Development function creates and maintains applications, frameworks and other software components to deliver to business requirements. Developers conceive, specify, design, engineer, document, test, and deliver bug fixes as needed to provide high quality software solutions. Each Development team is aligned to one of the company's business divisions and works with a corresponding Business Technology and Application Support team. The Role As a hands on Salesforce Developer and Functional Architect, you will be responsible for defining, designing, and delivering end to end Salesforce solutions, combining strategic functional leadership with hands on configuration and build responsibilities. This role bridges business and technology while actively contributing to solution implementation on the platform. The role ensures that business requirements are translated into scalable, user centric solutions, while also directly configuring and delivering core platform capabilities such as data models, automation, and security. This position is ideal for professionals who can own the solution from concept through to build and deployment. Vacancy Number: VN2902 Overall Responsibilities Solution Design & Architecture Define end to end Salesforce functional solutions aligned with business objectives Design scalable data models, business processes, and user journeys Ensure solutions adhere to Salesforce best practices and enterprise architecture Translate business requirements into high level solution designs and functional specifications Hands On Configuration & Build Configure Salesforce platform components including objects, fields, and relationships Build automation using Flows, validation rules, and approval processes Implement security models (profiles, permission sets, sharing rules) Develop reports and dashboards to meet business needs Ensure solutions are practical, optimised, and maintainable through direct involvement in build Administrative & Operational Support Support day to day Salesforce administrative activities alongside project delivery Manage data requests, including data uploads, cleansing, and maintenance Create and maintain reports and dashboards to support business insights and decision making Assist with user management, access requests, and basic system administration tasks Respond to ad hoc business requests and provide timely operational support Stakeholder Engagement & Requirement Management Conduct workshops and discovery sessions with business stakeholders Gather, analyse, and document business requirements Convert requirements into user stories with clear acceptance criteria Act as a trusted advisor to stakeholders, providing guidance on Salesforce capabilities and constraints Vendor & Partner Management Manage relationships with external vendors and implementation partners Provide clear functional direction and oversight to vendor teams Review and validate vendor deliverables for quality and alignment to standards Track vendor performance against scope, timelines, and SLAs Act as the primary functional liaison between internal teams and external partners Governance & Best Practices Establish and enforce Salesforce design and configuration standards Ensure solutions are scalable, secure, and aligned with long term strategy Maintain documentation and promote consistency across implementations Identify and mitigate risks, technical debt, and design gaps Delivery, Testing & Support Support full delivery lifecycle including build, SIT, UAT, and deployment Ensure solutions meet business expectations and quality standards before release Provide post go live support and drive continuous improvements Troubleshoot issues and implement enhancements The company may require you to carry out other duties from time to time. Competencies, Skills and Experience Essential Experience working within the Salesforce ecosystem, across functional, development, administrative, and solution delivery roles Proven ability to design and configure solutions, including objects, fields, flows, validation rules, and security models Solid understanding of Salesforce data modelling, security, and reporting Experience translating business requirements into functional designs, user stories, and solutions Strong stakeholder engagement and workshop facilitation skills Hands on experience with Salesforce administration, including: Data management (data loads, cleansing, maintenance) Report and dashboard creation, and user access and system administration Experience delivering solutions across the full lifecycle (design, build, test, deploy, support) Ability to enforce Salesforce best practices and governance standards Experience working in Agile delivery environments Strong problem solving, communication, and interpersonal skills Ability to balance architecture responsibilities with hands on delivery Desirable Experience managing vendors, system integrators, or implementation partners Familiar with Salesforce development, including Apex classes, triggers, and Lightning Web Components (LWC), enabling scalable and efficient solutions across the platform. Previous experience in a Functional Developer, Lead, or Architect role Experience working with complex integrations Knowledge of release management and DevOps processes Experience mentoring or leading junior team members Familiarity with industry specific Salesforce solutions (e.g., Financial Services, Retail, etc.) Salesforce certifications (e.g., Administrator, Advanced Admin, Business Analyst, Sales/Service Cloud Consultant) Experience driving user adoption and change management initiatives Competencies A collaborative team player, approachable, self sufficient and able to positively influence the working environment. Demonstrates curiosity and a continuous improvement mindset. Resilient in a challenging, fast paced environment. Excels at building relationships, networking, and influencing stakeholders at all levels. Strategic collaborator with insight and agility, able to anticipate future challenges and ensure operational effectiveness. Conduct Rules Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Be collaborative by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients Act with integrity we pride ourselves on our honesty and high ethical standards. We apply these values when working with all our clients, colleagues and other stakeholders Be adaptable and entrepreneurial we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients. We are interested in the world around us and inquisitive about understanding the challenges and opportunities our clients face. Be respectful how we treat each other, and our clients says everything about who we are. We always act respectfully and treat people fairly in everything we do. Nurture talent we aim to grow our own talent and make the company the place ambitious, hardworking and talented people choose to build their career. This means giving and taking stretch opportunities, taking risks, and committing to career development and support - for ourselves and our teams. Adaptable and Nimble Our size and flexibility is an advantage. We are big enough to support our client's various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction. The company is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also . click apply for full job details
Calling all innovators - find your future at Fiserv. We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Software Development Engineering - Advisor I About your role: At Fiserv, we are dedicated to transforming financial services technology to benefit our clients. As a Software Development Engineering - Advisor I, you will play a critical role in designing, developing, and maintaining high-quality software applications. You will work with cross functional teams to deliver solutions that align with our business goals and client needs. What you'll do: Lead the design, development, and implementation of software applications to support Fiserv's business goals. Collaborate with cross functional teams to gather requirements and translate them into technical specifications. Perform coding, testing, and debugging of applications to ensure optimal performance. Maintain and improve existing codebases and lead peer review processes. Mentor junior developers and provide technical guidance to enhance team capabilities. Responsibilities listed are not intended to be all-inclusive and may be modified as necessary. Senior Java / Full Stack Developer role within a Fintech real time payments engineering team, building solutions for major global banks. Design, develop, and enhance high performance, scalable, real time payment processing systems. End to end ownership across the software development lifecycle, including development, testing, maintenance, and production support. Strong backend expertise in Java 11+ (17/21 preferred), Spring, Spring Boot, and microservices architecture. Reactive and event driven programming using Akka, Kafka, JMS, RabbitMQ, ActiveMQ, with high throughput and low latency requirements. Hands on full stack development, including modern frontend technologies such as Angular, React, JavaScript, and Node.js. Experience building and consuming RESTful / web services, integrating UI layers with backend services. Strong database skills with SQL and relational databases (DB2, Sybase) and exposure to NoSQL (MongoDB). Cloud and DevOps experience using AWS, Docker, Kubernetes, CI/CD pipelines (Jenkins, Sonar), and automated testing tools. Agile, engineering driven culture emphasizing TDD/BDD, Scrum, collaboration, with financial services or payments domain experience as a plus. Experience you'll need to have: 4+ years of experience in software development. 2+ years of experience in Java, C, C#, C++, or similar programming languages. 2+ years of experience in SQL databases. 2+ years of experience in AWS, Azure, or GCP services. 2+ years of experience with CI/CD pipelines and DevOps practices. 2+ years of experience with Agile methodologies. 4+ years of an equivalent combination of educational background, related experience, and/or military experience. Experience that would be great to have: Experience in the financial services industry. Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
27/07/2026
Full time
Calling all innovators - find your future at Fiserv. We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Software Development Engineering - Advisor I About your role: At Fiserv, we are dedicated to transforming financial services technology to benefit our clients. As a Software Development Engineering - Advisor I, you will play a critical role in designing, developing, and maintaining high-quality software applications. You will work with cross functional teams to deliver solutions that align with our business goals and client needs. What you'll do: Lead the design, development, and implementation of software applications to support Fiserv's business goals. Collaborate with cross functional teams to gather requirements and translate them into technical specifications. Perform coding, testing, and debugging of applications to ensure optimal performance. Maintain and improve existing codebases and lead peer review processes. Mentor junior developers and provide technical guidance to enhance team capabilities. Responsibilities listed are not intended to be all-inclusive and may be modified as necessary. Senior Java / Full Stack Developer role within a Fintech real time payments engineering team, building solutions for major global banks. Design, develop, and enhance high performance, scalable, real time payment processing systems. End to end ownership across the software development lifecycle, including development, testing, maintenance, and production support. Strong backend expertise in Java 11+ (17/21 preferred), Spring, Spring Boot, and microservices architecture. Reactive and event driven programming using Akka, Kafka, JMS, RabbitMQ, ActiveMQ, with high throughput and low latency requirements. Hands on full stack development, including modern frontend technologies such as Angular, React, JavaScript, and Node.js. Experience building and consuming RESTful / web services, integrating UI layers with backend services. Strong database skills with SQL and relational databases (DB2, Sybase) and exposure to NoSQL (MongoDB). Cloud and DevOps experience using AWS, Docker, Kubernetes, CI/CD pipelines (Jenkins, Sonar), and automated testing tools. Agile, engineering driven culture emphasizing TDD/BDD, Scrum, collaboration, with financial services or payments domain experience as a plus. Experience you'll need to have: 4+ years of experience in software development. 2+ years of experience in Java, C, C#, C++, or similar programming languages. 2+ years of experience in SQL databases. 2+ years of experience in AWS, Azure, or GCP services. 2+ years of experience with CI/CD pipelines and DevOps practices. 2+ years of experience with Agile methodologies. 4+ years of an equivalent combination of educational background, related experience, and/or military experience. Experience that would be great to have: Experience in the financial services industry. Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
Follow a practical Data Analyst career path with instructor led training in Excel, SQL, Power BI, Python, Pandas and data visualisation skills. A Data Analyst collects, cleans, analyses, and interprets data to help organisations make better decisions. This career path is ideal for learners who want to build practical skills in spreadsheets, databases, dashboards, programming, and data analysis. The London Academy of IT Data Analyst Career Path is designed to take learners from core business data skills to practical analytical techniques using tools such as Microsoft Excel, SQL, Microsoft Power BI, Python, Pandas, and Matplotlib. By following this pathway, you can build a strong foundation for roles such as Junior Data Analyst, Data Analyst, Business Analyst, Reporting Analyst, and BI Analyst. Recommended Learning Pathway Complete these milestone training steps sequentially to achieve full proficiency: This career path is suitable for beginners and career changers. No advanced technical background is required to start, but learners should be comfortable using a computer and working with basic numbers, tables, and reports. To become a confident Data Analyst, you should develop skills in: Microsoft Excel for organising, calculating, and analysing data SQL for querying and managing data from databases Microsoft Power BI for dashboards, reports, and visual analytics Python programming for data analysis and automation Pandas and NumPy for working with structured datasets Matplotlib for creating charts and visualisations Data cleaning, data interpretation, and business reporting Day-to-Day Responsibilities Data Analysts work with data to identify patterns, produce reports, and support better business decisions. Their responsibilities may vary depending on the organisation and industry. Collecting, cleaning, and preparing data for analysis Writing SQL queries to extract information from databases Creating reports, dashboards, and visual summaries Using Excel, Power BI, and Python to analyse data Identifying trends, patterns, and performance insights Presenting findings to managers, teams, or stakeholdersSupporting business decisions with accurate data analysis Market Opportunities & Career Landscape Data analysis skills are valuable across many industries, including finance, healthcare, retail, education, technology, government, consulting, and business services. Organisations increasingly rely on data to improve performance, understand customers, optimise operations, and make informed decisions. This creates strong opportunities for professionals who can work confidently with data tools and communicate insights clearly. This pathway can support learners who want to move into entry level data roles, improve their current workplace reporting skills, or progress towards more advanced areas such as business intelligence, data science, and machine learning. At London Academy of IT, we provide instructor led online and in person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for. London Academy of IT, 64 Broadway, Stratford, London E15 1NT, United Kingdom
27/07/2026
Full time
Follow a practical Data Analyst career path with instructor led training in Excel, SQL, Power BI, Python, Pandas and data visualisation skills. A Data Analyst collects, cleans, analyses, and interprets data to help organisations make better decisions. This career path is ideal for learners who want to build practical skills in spreadsheets, databases, dashboards, programming, and data analysis. The London Academy of IT Data Analyst Career Path is designed to take learners from core business data skills to practical analytical techniques using tools such as Microsoft Excel, SQL, Microsoft Power BI, Python, Pandas, and Matplotlib. By following this pathway, you can build a strong foundation for roles such as Junior Data Analyst, Data Analyst, Business Analyst, Reporting Analyst, and BI Analyst. Recommended Learning Pathway Complete these milestone training steps sequentially to achieve full proficiency: This career path is suitable for beginners and career changers. No advanced technical background is required to start, but learners should be comfortable using a computer and working with basic numbers, tables, and reports. To become a confident Data Analyst, you should develop skills in: Microsoft Excel for organising, calculating, and analysing data SQL for querying and managing data from databases Microsoft Power BI for dashboards, reports, and visual analytics Python programming for data analysis and automation Pandas and NumPy for working with structured datasets Matplotlib for creating charts and visualisations Data cleaning, data interpretation, and business reporting Day-to-Day Responsibilities Data Analysts work with data to identify patterns, produce reports, and support better business decisions. Their responsibilities may vary depending on the organisation and industry. Collecting, cleaning, and preparing data for analysis Writing SQL queries to extract information from databases Creating reports, dashboards, and visual summaries Using Excel, Power BI, and Python to analyse data Identifying trends, patterns, and performance insights Presenting findings to managers, teams, or stakeholdersSupporting business decisions with accurate data analysis Market Opportunities & Career Landscape Data analysis skills are valuable across many industries, including finance, healthcare, retail, education, technology, government, consulting, and business services. Organisations increasingly rely on data to improve performance, understand customers, optimise operations, and make informed decisions. This creates strong opportunities for professionals who can work confidently with data tools and communicate insights clearly. This pathway can support learners who want to move into entry level data roles, improve their current workplace reporting skills, or progress towards more advanced areas such as business intelligence, data science, and machine learning. At London Academy of IT, we provide instructor led online and in person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for. London Academy of IT, 64 Broadway, Stratford, London E15 1NT, United Kingdom
Role Overview: We are seeking a highly analytical and collaborative Systems Engineer to join our electronics production team. This role is ideal for someone with a strong background in electronic engineering and manufacturing, who thrives on turning complex datasets into actionable insights that drive operational excellence. Key Responsibilities: Data Analysis & Insight Generation Analyze complex datasets across the electronics production lifecycle, including design, manufacturing, testing, and supply chain stages. Identify trends, anomalies, and improvement opportunities in production and test processes. Process Optimization Develop and implement data-driven solutions to enhance production efficiency, reduce waste, and improve product reliability. Contribute to the development of robust performance measurement frameworks across production areas. Cross-Functional Collaboration Work closely with electronics engineers, production teams, and quality assurance specialists to translate insights into tangible improvements. Support continuous improvement initiatives through data-backed recommendations. Reporting & Communication Design and deliver compelling dashboards and reports for both technical and non-technical stakeholders. Communicate findings clearly to drive decision-making and strategic planning. Data Infrastructure & Governance Proactively enhance data collection methods, tools, and management practices in a low-volume production environment. Ensure data integrity and usability across systems. Mentorship & Leadership Potentially guide and mentor junior data analysts or engineers, fostering a culture of analytical excellence. Required Skills & Experience: Proven experience in electronic engineering, systems engineering, or manufacturing analytics. Strong proficiency in data analysis tools (e.g., Excel, Power BI, Python, MATLAB). Familiarity with electronics production environments and lifecycle stages. Experience with performance metrics, test coverage, and fault isolation strategies. Excellent communication and stakeholder engagement skills.
27/07/2026
Full time
Role Overview: We are seeking a highly analytical and collaborative Systems Engineer to join our electronics production team. This role is ideal for someone with a strong background in electronic engineering and manufacturing, who thrives on turning complex datasets into actionable insights that drive operational excellence. Key Responsibilities: Data Analysis & Insight Generation Analyze complex datasets across the electronics production lifecycle, including design, manufacturing, testing, and supply chain stages. Identify trends, anomalies, and improvement opportunities in production and test processes. Process Optimization Develop and implement data-driven solutions to enhance production efficiency, reduce waste, and improve product reliability. Contribute to the development of robust performance measurement frameworks across production areas. Cross-Functional Collaboration Work closely with electronics engineers, production teams, and quality assurance specialists to translate insights into tangible improvements. Support continuous improvement initiatives through data-backed recommendations. Reporting & Communication Design and deliver compelling dashboards and reports for both technical and non-technical stakeholders. Communicate findings clearly to drive decision-making and strategic planning. Data Infrastructure & Governance Proactively enhance data collection methods, tools, and management practices in a low-volume production environment. Ensure data integrity and usability across systems. Mentorship & Leadership Potentially guide and mentor junior data analysts or engineers, fostering a culture of analytical excellence. Required Skills & Experience: Proven experience in electronic engineering, systems engineering, or manufacturing analytics. Strong proficiency in data analysis tools (e.g., Excel, Power BI, Python, MATLAB). Familiarity with electronics production environments and lifecycle stages. Experience with performance metrics, test coverage, and fault isolation strategies. Excellent communication and stakeholder engagement skills.
Ashdown Group is seeking a bright, enthusiastic Junior Data Analyst to join their IT team in Chelmsford. You will work with BI tools, SQL, and Excel to design and develop reporting solutions that support data-driven decision making. This role suits a recent IT or Computer Science graduate with around 12 months of experience and a passion for data. You will collaborate with stakeholders to gather requirements, build insightful dashboards, and ensure data integrity and performance.
26/07/2026
Full time
Ashdown Group is seeking a bright, enthusiastic Junior Data Analyst to join their IT team in Chelmsford. You will work with BI tools, SQL, and Excel to design and develop reporting solutions that support data-driven decision making. This role suits a recent IT or Computer Science graduate with around 12 months of experience and a passion for data. You will collaborate with stakeholders to gather requirements, build insightful dashboards, and ensure data integrity and performance.
Version 1 is expanding its Digital, Data and Cloud teams in the UK. As a Front-End Developer you'll work with Product Owners, Analysts, Architects and Designers to shape digital products, ensure code aligns with standards, and optimize performance. You'll help maintain a shared component library, mentor juniors, and promote modern security practices while crafting modular, reusable UI components. This role offers flexible/remote working and a proactive tech culture within a fast-growing
26/07/2026
Full time
Version 1 is expanding its Digital, Data and Cloud teams in the UK. As a Front-End Developer you'll work with Product Owners, Analysts, Architects and Designers to shape digital products, ensure code aligns with standards, and optimize performance. You'll help maintain a shared component library, mentor juniors, and promote modern security practices while crafting modular, reusable UI components. This role offers flexible/remote working and a proactive tech culture within a fast-growing
Company Description Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We're also an award-winning employer reflecting how employees are at the heart of Version 1. We've been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We're focused on our core values; using these we've seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. Job Description As a Front-End Developer, you'll collaborate closely with Product Owners, Business Analysts, Technical Architects, UX/UI Designers and other team members to understand business requirements and drive the solution design and development of our digital products. Your role involves ensuring that the code aligns with these requirements and adheres to our architectural and front-end coding standards. Performance optimisation is key, and you'll employ best practices to enhance our applications. Additionally, you'll stay proactive by suggesting upgrades and updates to maintain modern security standards and adhere to evolving best practices in development. Your contributions extend beyond individual projects; you'll help enrich our shared component libraries by crafting modular and reusable components. Furthermore, as a valued member of our team, you'll provide mentorship to junior members and actively share your expertise across the wider team. Responsibilities Experience working closely with key stakeholders across the engineering team, including Architects, Product Owners and UX designers understanding and demonstrating how written requirements translate into a technical solution. Develop interfaces for web and mobile applications and develop high-quality, efficient, reusable code and libraries for future use. Collaborate with other team members to formulate and articulate end-to-end architecture and (non-) functional design Responsible to take ownership of the Frontend digital and software platform Ensure the use of Version 1's's Agile process and framework Instil champion best practices within the team, including TDD, code reviews and pair programming Mentor and bring on junior members of the team. Design flexible and configurable software components Produce well designed, testable, maintainable, secure and efficient code Qualifications You will have an extensive background in front-end development with significant experience working with TypeScript and React. Any further experience with Next.js/Angular/Vue.js is beneficial Experience with mobile development frameworks like React Native is beneficial. Experience with GraphQL, preferably using Apollo Client with React for efficient data fetching and state management. Experience in Unit Testing with Jest Continuous Integration experience (Docker) A passion for coding and keeping up to date with new technologies frameworks and techniques Extensive experience in an Agile environment Exceptional communication skills to interact with clients and onsite and near-shore development teams Ability to prioritise and handle several tasks at once with multiple deadlines will be important Experience in back-end integration and any experience with backend technologies like Java/Python is an advantage. Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. Flexible/remote working, Version 1 is tremendously understanding of life events and people's individual circumstances and offer flexibility to help achieve a healthy work life balance. Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme. Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Reward schemes including Version 1's Annual Excellence Awards & 'Call-Out' platform. Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.
26/07/2026
Full time
Company Description Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We're also an award-winning employer reflecting how employees are at the heart of Version 1. We've been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We're focused on our core values; using these we've seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. Job Description As a Front-End Developer, you'll collaborate closely with Product Owners, Business Analysts, Technical Architects, UX/UI Designers and other team members to understand business requirements and drive the solution design and development of our digital products. Your role involves ensuring that the code aligns with these requirements and adheres to our architectural and front-end coding standards. Performance optimisation is key, and you'll employ best practices to enhance our applications. Additionally, you'll stay proactive by suggesting upgrades and updates to maintain modern security standards and adhere to evolving best practices in development. Your contributions extend beyond individual projects; you'll help enrich our shared component libraries by crafting modular and reusable components. Furthermore, as a valued member of our team, you'll provide mentorship to junior members and actively share your expertise across the wider team. Responsibilities Experience working closely with key stakeholders across the engineering team, including Architects, Product Owners and UX designers understanding and demonstrating how written requirements translate into a technical solution. Develop interfaces for web and mobile applications and develop high-quality, efficient, reusable code and libraries for future use. Collaborate with other team members to formulate and articulate end-to-end architecture and (non-) functional design Responsible to take ownership of the Frontend digital and software platform Ensure the use of Version 1's's Agile process and framework Instil champion best practices within the team, including TDD, code reviews and pair programming Mentor and bring on junior members of the team. Design flexible and configurable software components Produce well designed, testable, maintainable, secure and efficient code Qualifications You will have an extensive background in front-end development with significant experience working with TypeScript and React. Any further experience with Next.js/Angular/Vue.js is beneficial Experience with mobile development frameworks like React Native is beneficial. Experience with GraphQL, preferably using Apollo Client with React for efficient data fetching and state management. Experience in Unit Testing with Jest Continuous Integration experience (Docker) A passion for coding and keeping up to date with new technologies frameworks and techniques Extensive experience in an Agile environment Exceptional communication skills to interact with clients and onsite and near-shore development teams Ability to prioritise and handle several tasks at once with multiple deadlines will be important Experience in back-end integration and any experience with backend technologies like Java/Python is an advantage. Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. Flexible/remote working, Version 1 is tremendously understanding of life events and people's individual circumstances and offer flexibility to help achieve a healthy work life balance. Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme. Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Reward schemes including Version 1's Annual Excellence Awards & 'Call-Out' platform. Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.
Data Visualisation Manager - Global Heineken Account The purpose of this role is to develop best in class strategies and manage all insights and analysis activities for assigned clients, lead and develop the team, and serve as a point of escalation when needed. Responsibilities Develop & Maintain BI Solutions - design, build, and optimise dashboards, reports, and data pipelines using Power BI, Tableau, or Qlik. End to End Project Delivery - scope projects, extract data, visualise, and train stakeholders. Ensure Data Accuracy & Security - collaborate with data engineers to maintain data integrity and comply with industry regulations. Work Closely with Clients - gather requirements, present insights, and provide recommendations to clients and internal teams. Stay Ahead of New BI Tools & Features - continually explore new technologies and industry trends, including AI & augmented analytics. Contribute to Development of the Team - mentor junior members with technical support and guidance, and share solutions in bi weekly team catch ups. Qualifications 3+ years in a data/reporting analyst role, preferably in an agency, consultancy, or client facing environment. Proficiency in reporting tools - Power BI, Tableau, Qlik, SQL, and Excel. Strong problem solving skills - ability to translate data into actionable insights. Interest in AI Assisted Analytics - understanding of emerging augmented analytics features such as Copilot, Insight Advisor, and Tableau Pulse. Excellent presentation and storytelling skills - simplify complex data topics for diverse audiences. Ability to manage multiple client accounts - stay organisation and meet deadlines efficiently. Knowledge of industry metrics - familiarity with key performance indicators in marketing, finance, or other relevant industries. Project management skills - familiarity with an array of project management techniques and tools. Benefits This is a permanent role based in London, with flexible working arrangements. The role offers a competitive salary and a benefits package that you can tailor to your needs. Location: London Time Type: Full time Contract Type: Permanent Diversity & Inclusion At Dentsu, we embrace diversity and inclusion, valuing the unique perspectives and contributions of every individual. We welcome applications from all individuals, regardless of race, ethnicity, nationality, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other protected characteristic. We strive to create an environment where everyone feels respected, supported, and empowered to bring their authentic selves to work.
26/07/2026
Full time
Data Visualisation Manager - Global Heineken Account The purpose of this role is to develop best in class strategies and manage all insights and analysis activities for assigned clients, lead and develop the team, and serve as a point of escalation when needed. Responsibilities Develop & Maintain BI Solutions - design, build, and optimise dashboards, reports, and data pipelines using Power BI, Tableau, or Qlik. End to End Project Delivery - scope projects, extract data, visualise, and train stakeholders. Ensure Data Accuracy & Security - collaborate with data engineers to maintain data integrity and comply with industry regulations. Work Closely with Clients - gather requirements, present insights, and provide recommendations to clients and internal teams. Stay Ahead of New BI Tools & Features - continually explore new technologies and industry trends, including AI & augmented analytics. Contribute to Development of the Team - mentor junior members with technical support and guidance, and share solutions in bi weekly team catch ups. Qualifications 3+ years in a data/reporting analyst role, preferably in an agency, consultancy, or client facing environment. Proficiency in reporting tools - Power BI, Tableau, Qlik, SQL, and Excel. Strong problem solving skills - ability to translate data into actionable insights. Interest in AI Assisted Analytics - understanding of emerging augmented analytics features such as Copilot, Insight Advisor, and Tableau Pulse. Excellent presentation and storytelling skills - simplify complex data topics for diverse audiences. Ability to manage multiple client accounts - stay organisation and meet deadlines efficiently. Knowledge of industry metrics - familiarity with key performance indicators in marketing, finance, or other relevant industries. Project management skills - familiarity with an array of project management techniques and tools. Benefits This is a permanent role based in London, with flexible working arrangements. The role offers a competitive salary and a benefits package that you can tailor to your needs. Location: London Time Type: Full time Contract Type: Permanent Diversity & Inclusion At Dentsu, we embrace diversity and inclusion, valuing the unique perspectives and contributions of every individual. We welcome applications from all individuals, regardless of race, ethnicity, nationality, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other protected characteristic. We strive to create an environment where everyone feels respected, supported, and empowered to bring their authentic selves to work.
Data Solution ArchitectApplylocations: Londontime type: Full timeposted on: Posted 7 Days Agojob requisition id: RThe purpose of this role is to set the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market and liaising with other channels to ensure an integrated response to people-based marketing objectives Job Description: Dentsu is an integrated growth and transformation partner to the world's leading organizations. Founded in 1901 in Tokyo, Japan, and now present in over 145 countries and regions, it has a proven track record of nurturing and developing innovations, combining the talents of its global network of leadership brands to develop impactful and integrated growth solutions for clients. Dentsu delivers end-to-end experience transformation (EX) by integrating its services across Media, CXM and Creative, while its business transformation (BX) mindset pushes the boundaries of transformation and sustainable growth for brands, people and society. Role Summary The Data Solutions Architect is responsible for designing, implementing and optimising the data and reporting solutions that support the global Heineken business.Working as part of the Global Analytics team, this role acts as the connection point between client stakeholders, analysts, reporting teams, data engineers and technology partners to ensure data is accessible, trusted and transformed into actionable business intelligence.Initially, the role is focused on one global client: establishing robust reporting foundations, improving data quality and governance, and supporting delivery of dashboards, measurement solutions and insight generation across Heineken global and local markets.This is a hands-on role combining data architecture, reporting delivery, stakeholder management and problem-solving. Over time, the successful candidate will build broader leadership capabilities and contribute to the evolution of global reporting and visualisation capabilities across additional clients and solutions. Key Responsibilities Data & Reporting Solutions Own the design and delivery of reporting and data solutions for Heineken. Support the implementation and ongoing enhancement of global dashboards and reporting frameworks. Translate business requirements into scalable data and reporting solutions. Work with data engineering and technology teams to ensure reliable data pipelines and reporting infrastructure. Identify opportunities to improve reporting automation, standardisation and efficiency. Support measurement frameworks that connect media, marketing, sales and brand performance data. Data Governance & Quality Collaborate with the Data Operations team to establish data governance processes, definitions and standards. Ensure reporting outputs are based on trusted and consistent data sources. Client & Stakeholder Management Act as a day-to-day point of contact for data and reporting requirements. Partner with client stakeholders, market teams, analysts and technology partners to understand business needs. Facilitate requirement-gathering sessions and translate needs into clear delivery plans. Support senior leadership with reporting recommendations, roadmap planning and prioritisation. Insight Delivery Ensure dashboards and reporting outputs answer business questions and support decision-making. Work alongside analytics teams to bring together reporting, measurement and insight generation. Help identify opportunities to improve visibility of performance, effectiveness and growth opportunities. Capability Building Contribute to the development of reporting best practices and reusable solutions. Stay informed of emerging reporting, visualisation and analytics technologies. Support testing and adoption of new reporting capabilities, AI-enabled solutions and automation opportunities. Share knowledge and support junior team members where appropriate. What Success Looks Like in the First 12 Months Establish a deep understanding of Heineken's global data and reporting ecosystem. Successfully implement and improve key global reporting solutions. Improve consistency, quality and reliability of reporting outputs. Build trusted relationships with client stakeholders and global market teams. Create clear documentation, governance processes and reporting standards. Enable faster and more actionable decision-making through improved reporting and data accessibility. Skills & Experience Experience in reporting, business intelligence, analytics or data solutions roles. Strong understanding of data structures, reporting workflows and dashboard development. Working knowledge of data engineering concepts, including data modelling, ETL/ELT, data pipelines, APIs and cloud-based data platforms. Not afraid to get hands-on when needed. Experience working with modern data stacks such as Snowflake, BigQuery, Databricks, Azure. Experience with visualisation tools such as Power BI, Tableau, Looker Studio or similar. Ability to translate business requirements into practical data and reporting solutions. Strong problem-solving and stakeholder management skills. Experience working with multiple data sources and complex reporting requirements. Excellent communication and presentation skills. What we offer This is a permanent role. The team is based in our London office but operates under flexible working arrangements. As well as a competitive salary, you'll enjoy a benefits package that you can tailor to your needs. Inclusion and Diversity At Dentsu, we embrace diversity and inclusion, valuing the unique perspectives and contributions of every individual. We believe that diversity fuels creativity and innovation, benefiting our employees, partners, and communities.We welcome applications from all individuals, regardless of race, ethnicity, nationality, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other protected characteristic. Beyond recruitment, we strive to create an environment where everyone feels respected, supported, and empowered to bring their authentic selves to work.We recognise the importance of work-life balance and are open to discussing flexible working arrangements for all roles. If you need reasonable adjustments due to a disability or medical condition during our recruitment process, please contact us at , quoting the reference number of the role that you are applying for. Your needs will be handled with respect and confidentiality to ensure an inclusive and accessible experience.
26/07/2026
Full time
Data Solution ArchitectApplylocations: Londontime type: Full timeposted on: Posted 7 Days Agojob requisition id: RThe purpose of this role is to set the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market and liaising with other channels to ensure an integrated response to people-based marketing objectives Job Description: Dentsu is an integrated growth and transformation partner to the world's leading organizations. Founded in 1901 in Tokyo, Japan, and now present in over 145 countries and regions, it has a proven track record of nurturing and developing innovations, combining the talents of its global network of leadership brands to develop impactful and integrated growth solutions for clients. Dentsu delivers end-to-end experience transformation (EX) by integrating its services across Media, CXM and Creative, while its business transformation (BX) mindset pushes the boundaries of transformation and sustainable growth for brands, people and society. Role Summary The Data Solutions Architect is responsible for designing, implementing and optimising the data and reporting solutions that support the global Heineken business.Working as part of the Global Analytics team, this role acts as the connection point between client stakeholders, analysts, reporting teams, data engineers and technology partners to ensure data is accessible, trusted and transformed into actionable business intelligence.Initially, the role is focused on one global client: establishing robust reporting foundations, improving data quality and governance, and supporting delivery of dashboards, measurement solutions and insight generation across Heineken global and local markets.This is a hands-on role combining data architecture, reporting delivery, stakeholder management and problem-solving. Over time, the successful candidate will build broader leadership capabilities and contribute to the evolution of global reporting and visualisation capabilities across additional clients and solutions. Key Responsibilities Data & Reporting Solutions Own the design and delivery of reporting and data solutions for Heineken. Support the implementation and ongoing enhancement of global dashboards and reporting frameworks. Translate business requirements into scalable data and reporting solutions. Work with data engineering and technology teams to ensure reliable data pipelines and reporting infrastructure. Identify opportunities to improve reporting automation, standardisation and efficiency. Support measurement frameworks that connect media, marketing, sales and brand performance data. Data Governance & Quality Collaborate with the Data Operations team to establish data governance processes, definitions and standards. Ensure reporting outputs are based on trusted and consistent data sources. Client & Stakeholder Management Act as a day-to-day point of contact for data and reporting requirements. Partner with client stakeholders, market teams, analysts and technology partners to understand business needs. Facilitate requirement-gathering sessions and translate needs into clear delivery plans. Support senior leadership with reporting recommendations, roadmap planning and prioritisation. Insight Delivery Ensure dashboards and reporting outputs answer business questions and support decision-making. Work alongside analytics teams to bring together reporting, measurement and insight generation. Help identify opportunities to improve visibility of performance, effectiveness and growth opportunities. Capability Building Contribute to the development of reporting best practices and reusable solutions. Stay informed of emerging reporting, visualisation and analytics technologies. Support testing and adoption of new reporting capabilities, AI-enabled solutions and automation opportunities. Share knowledge and support junior team members where appropriate. What Success Looks Like in the First 12 Months Establish a deep understanding of Heineken's global data and reporting ecosystem. Successfully implement and improve key global reporting solutions. Improve consistency, quality and reliability of reporting outputs. Build trusted relationships with client stakeholders and global market teams. Create clear documentation, governance processes and reporting standards. Enable faster and more actionable decision-making through improved reporting and data accessibility. Skills & Experience Experience in reporting, business intelligence, analytics or data solutions roles. Strong understanding of data structures, reporting workflows and dashboard development. Working knowledge of data engineering concepts, including data modelling, ETL/ELT, data pipelines, APIs and cloud-based data platforms. Not afraid to get hands-on when needed. Experience working with modern data stacks such as Snowflake, BigQuery, Databricks, Azure. Experience with visualisation tools such as Power BI, Tableau, Looker Studio or similar. Ability to translate business requirements into practical data and reporting solutions. Strong problem-solving and stakeholder management skills. Experience working with multiple data sources and complex reporting requirements. Excellent communication and presentation skills. What we offer This is a permanent role. The team is based in our London office but operates under flexible working arrangements. As well as a competitive salary, you'll enjoy a benefits package that you can tailor to your needs. Inclusion and Diversity At Dentsu, we embrace diversity and inclusion, valuing the unique perspectives and contributions of every individual. We believe that diversity fuels creativity and innovation, benefiting our employees, partners, and communities.We welcome applications from all individuals, regardless of race, ethnicity, nationality, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other protected characteristic. Beyond recruitment, we strive to create an environment where everyone feels respected, supported, and empowered to bring their authentic selves to work.We recognise the importance of work-life balance and are open to discussing flexible working arrangements for all roles. If you need reasonable adjustments due to a disability or medical condition during our recruitment process, please contact us at , quoting the reference number of the role that you are applying for. Your needs will be handled with respect and confidentiality to ensure an inclusive and accessible experience.
Senior Engineer, Risk EngineeringApplylocations: Hong Kong: Londontime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange - a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices - a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights - a digital asset media and events provider and operator of a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports to: Director, Engineering Engineering Organization & Culture At Bullish, we are engineering the institutional standard for the digital asset industry. Our mission is to build a platform where security and compliance are the foundational core, requiring a commitment to technical excellence that goes beyond simply delivering code. We operate as a global engineering organization, setting a high bar in a demanding environment for those driven to do the best work of their careers alongside world-class peers.We value engineers who treat development as a craft and own the outcome from concept to deployment. You will be expected to navigate the unknown, bring structure to ambiguity, and help shape the frameworks and processes that drive our global teams forward. We refuse to compromise on quality and seek problem solvers who thrive on high-impact technical challenges. The Team: Risk Engineering The Risk Engineering team builds the high-performance computational backbone that safeguards our exchange operations. Bridging quantitative finance and systems engineering, we optimize the mission-critical risk calculations that evaluate margin requirements, stress scenarios, and portfolio exposures in real-time, ensuring every trade is backed by solid financial guardrails. Our technical domain spans low-latency JVM optimization, zero-allocation hot paths and complex financial modeling. What You'll Do High-Performance JVM Engineering: Develop and maintain high-quality, scalable, and performant JVM services and APIs, with an eye toward low-latency and efficient memory management. Technical Translation & Risk Modeling: Work closely with senior technical leadership to understand risk models and decompose complex business requirements into well-tested, robust implementations. Cross-Functional Collaboration: Collaborate with quantitative analysts and product teams to implement reliable solutions for financial products and risk models. Continuous Codebase Optimization: Actively optimize and refactor the existing codebase to enhance automated testing, performance, and maintainability. Engineering Excellence: Write clean, well-documented code, participate actively in code reviews, and champion agile best practices within the team. What You'll Bring Professional Experience: 5+ years of professional experience as a Java backend engineer. Mindset and Ownership: A strong sense of accountability and the agility to thrive and adapt in a dynamic startup environment. Language Proficiency: Advanced proficiency in Java, with a solid understanding of multi-threading, concurrency, and JVM performance tuning. Testing Methodologies: Strong hands-on experience with automated testing methodologies, including unit/integration testing, TDD, and exposure to simulation or stress testing. Software Design Fundamentals: Well-versed in Agile methodologies, design patterns, DRY principles, Clean Code, and microservices architecture. Technical Ecosystem: Proficient with modern DevOps and cloud tools, including Git, Docker, Kubernetes, and cloud platforms (GCP preferred). Financial Domain Awareness: Good foundational understanding of financial products, risk management concepts, or risk methodologies (e.g., SPAN, VaR). Analytical Aptitude: Strong mathematical, analytical, and problem-solving skills. Educational Foundation: Bachelor's degree in Computer Science, Engineering, or a related technical field. Nice To Haves Familiarity with event-sourced architectures, columnar databases, Kotlin, or low-latency libraries like Chronicle Queue. Interest or minor experience in mentoring junior peers and contributing to a collaborative engineering culture. Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.
26/07/2026
Full time
Senior Engineer, Risk EngineeringApplylocations: Hong Kong: Londontime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange - a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices - a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights - a digital asset media and events provider and operator of a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports to: Director, Engineering Engineering Organization & Culture At Bullish, we are engineering the institutional standard for the digital asset industry. Our mission is to build a platform where security and compliance are the foundational core, requiring a commitment to technical excellence that goes beyond simply delivering code. We operate as a global engineering organization, setting a high bar in a demanding environment for those driven to do the best work of their careers alongside world-class peers.We value engineers who treat development as a craft and own the outcome from concept to deployment. You will be expected to navigate the unknown, bring structure to ambiguity, and help shape the frameworks and processes that drive our global teams forward. We refuse to compromise on quality and seek problem solvers who thrive on high-impact technical challenges. The Team: Risk Engineering The Risk Engineering team builds the high-performance computational backbone that safeguards our exchange operations. Bridging quantitative finance and systems engineering, we optimize the mission-critical risk calculations that evaluate margin requirements, stress scenarios, and portfolio exposures in real-time, ensuring every trade is backed by solid financial guardrails. Our technical domain spans low-latency JVM optimization, zero-allocation hot paths and complex financial modeling. What You'll Do High-Performance JVM Engineering: Develop and maintain high-quality, scalable, and performant JVM services and APIs, with an eye toward low-latency and efficient memory management. Technical Translation & Risk Modeling: Work closely with senior technical leadership to understand risk models and decompose complex business requirements into well-tested, robust implementations. Cross-Functional Collaboration: Collaborate with quantitative analysts and product teams to implement reliable solutions for financial products and risk models. Continuous Codebase Optimization: Actively optimize and refactor the existing codebase to enhance automated testing, performance, and maintainability. Engineering Excellence: Write clean, well-documented code, participate actively in code reviews, and champion agile best practices within the team. What You'll Bring Professional Experience: 5+ years of professional experience as a Java backend engineer. Mindset and Ownership: A strong sense of accountability and the agility to thrive and adapt in a dynamic startup environment. Language Proficiency: Advanced proficiency in Java, with a solid understanding of multi-threading, concurrency, and JVM performance tuning. Testing Methodologies: Strong hands-on experience with automated testing methodologies, including unit/integration testing, TDD, and exposure to simulation or stress testing. Software Design Fundamentals: Well-versed in Agile methodologies, design patterns, DRY principles, Clean Code, and microservices architecture. Technical Ecosystem: Proficient with modern DevOps and cloud tools, including Git, Docker, Kubernetes, and cloud platforms (GCP preferred). Financial Domain Awareness: Good foundational understanding of financial products, risk management concepts, or risk methodologies (e.g., SPAN, VaR). Analytical Aptitude: Strong mathematical, analytical, and problem-solving skills. Educational Foundation: Bachelor's degree in Computer Science, Engineering, or a related technical field. Nice To Haves Familiarity with event-sourced architectures, columnar databases, Kotlin, or low-latency libraries like Chronicle Queue. Interest or minor experience in mentoring junior peers and contributing to a collaborative engineering culture. Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.
Junior Business Analyst - AI & Digital Transformation Onsite Location: Kirkcaldy, Scotland Type: Full-Time About the Role Our client is a commercially driven group business seeking a Junior Business Analyst to support the practical delivery of AI, automation and digital improvement projects across the organisation. This is a hands on, delivery focused role - the successful candidate will work within the Business Transformation function to help move the business from AI experimentation into a structured delivery model with measurable outcomes. Working closely with colleagues across Sales, Operations, Procurement, Finance, Customer Service, Warehousing and IT, you will help identify opportunities, gather requirements, prototype solutions and support adoption of new tools and ways of working across the business. Key Responsibilities Support the delivery of practical AI and automation initiatives, helping projects move from idea through prototype to live business adoption. Work with departments to understand current processes, challenges and opportunities where AI can improve efficiency, decision making, customer experience or commercial performance. Help build and test AI enabled solutions using tools such as Microsoft Copilot, ChatGPT, Claude, Power Platform and other low code/no code workflow automation technologies. Help maintain simple, repeatable delivery frameworks for AI projects, covering use case definition, prioritisation, testing, deployment and adoption tracking. Support the development of internal AI capability by contributing to playbooks, supporting workshops and helping establish a network of AI champions across the business. Work with IT, development and data teams to ensure AI solutions are secure, scalable and aligned to the organisation's technology standards. Support commercial improvement initiatives through AI driven insight, including pricing, quote follow up, customer engagement, sales productivity and operational reporting. Help structure business knowledge, documents and data sources so they can be used effectively and responsibly within AI assistants, copilots and automation workflows. Skills & Experience Some exposure to, or a strong interest in, business transformation, automation, digital improvement or operational change within a commercial environment. Familiarity with AI tools such as ChatGPT, Claude, Microsoft Copilot and prompt engineering. A good understanding of business processes, with the ability to identify inefficiency, duplication and opportunities for improvement. Some exposure to automation and low code/no code platforms such as Power Automate, Power Apps, Zapier or Make would be advantageous. Good data literacy, with the ability to work with business data, reporting outputs and operational information to support AI use cases. Some exposure to ERP systems, CRM platforms or BI tools - NetSuite, Phocas or Microsoft 365 experience is advantageous. What We're Looking For A curious, proactive self starter who is comfortable operating in a fast moving environment where AI tools and business requirements are constantly evolving. Strong interpersonal skills, with the ability to engage and build relationships with both technical and non technical stakeholders across departments. A confident communicator who can simplify complex technology, create clear documentation and help users adopt new ways of working. Highly organised, with the ability to support multiple workstreams simultaneously and help maintain clear visibility of priorities and progress. A developing commercial awareness, with an understanding of efficiency, margin, sales productivity and customer experience drivers. Desirable Skills & Qualifications Basic understanding of APIs, integrations, SQL, Python or system architecture - hands on delivery and adoption experience takes priority over deep technical coding ability. Awareness of AI governance, data protection, cyber security and responsible AI principles. Experience working in distribution, aftermarket parts, construction, manufacturing, logistics or similar operational sectors. For more information or to apply, please contact Jack Harding at .
26/07/2026
Full time
Junior Business Analyst - AI & Digital Transformation Onsite Location: Kirkcaldy, Scotland Type: Full-Time About the Role Our client is a commercially driven group business seeking a Junior Business Analyst to support the practical delivery of AI, automation and digital improvement projects across the organisation. This is a hands on, delivery focused role - the successful candidate will work within the Business Transformation function to help move the business from AI experimentation into a structured delivery model with measurable outcomes. Working closely with colleagues across Sales, Operations, Procurement, Finance, Customer Service, Warehousing and IT, you will help identify opportunities, gather requirements, prototype solutions and support adoption of new tools and ways of working across the business. Key Responsibilities Support the delivery of practical AI and automation initiatives, helping projects move from idea through prototype to live business adoption. Work with departments to understand current processes, challenges and opportunities where AI can improve efficiency, decision making, customer experience or commercial performance. Help build and test AI enabled solutions using tools such as Microsoft Copilot, ChatGPT, Claude, Power Platform and other low code/no code workflow automation technologies. Help maintain simple, repeatable delivery frameworks for AI projects, covering use case definition, prioritisation, testing, deployment and adoption tracking. Support the development of internal AI capability by contributing to playbooks, supporting workshops and helping establish a network of AI champions across the business. Work with IT, development and data teams to ensure AI solutions are secure, scalable and aligned to the organisation's technology standards. Support commercial improvement initiatives through AI driven insight, including pricing, quote follow up, customer engagement, sales productivity and operational reporting. Help structure business knowledge, documents and data sources so they can be used effectively and responsibly within AI assistants, copilots and automation workflows. Skills & Experience Some exposure to, or a strong interest in, business transformation, automation, digital improvement or operational change within a commercial environment. Familiarity with AI tools such as ChatGPT, Claude, Microsoft Copilot and prompt engineering. A good understanding of business processes, with the ability to identify inefficiency, duplication and opportunities for improvement. Some exposure to automation and low code/no code platforms such as Power Automate, Power Apps, Zapier or Make would be advantageous. Good data literacy, with the ability to work with business data, reporting outputs and operational information to support AI use cases. Some exposure to ERP systems, CRM platforms or BI tools - NetSuite, Phocas or Microsoft 365 experience is advantageous. What We're Looking For A curious, proactive self starter who is comfortable operating in a fast moving environment where AI tools and business requirements are constantly evolving. Strong interpersonal skills, with the ability to engage and build relationships with both technical and non technical stakeholders across departments. A confident communicator who can simplify complex technology, create clear documentation and help users adopt new ways of working. Highly organised, with the ability to support multiple workstreams simultaneously and help maintain clear visibility of priorities and progress. A developing commercial awareness, with an understanding of efficiency, margin, sales productivity and customer experience drivers. Desirable Skills & Qualifications Basic understanding of APIs, integrations, SQL, Python or system architecture - hands on delivery and adoption experience takes priority over deep technical coding ability. Awareness of AI governance, data protection, cyber security and responsible AI principles. Experience working in distribution, aftermarket parts, construction, manufacturing, logistics or similar operational sectors. For more information or to apply, please contact Jack Harding at .
Job Description Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large-scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client-facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low-latency systems. Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
26/07/2026
Full time
Job Description Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large-scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client-facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low-latency systems. Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Digital Account Manager The Hoffman Agency is a PR-led marketing agency offering world-class communications services across media, industry analysts, and digital channels. At our core we're a diverse collective of fresh thinkers who aren't afraid to challenge the status quo. We are on the lookout for a digital account manager with a flair for paid and organic and a strategic mind to join our growing marketing services division. You will be responsible for planning and delivering organic social, PPC and digital content campaigns for clients. You'll work closely with the EVP of Marketing Services, you will manage an SAE and work closely with our designer and PR team to ensure integrated approach. You'll also be regularly using our insight tools to deliver customer content and asset performance reporting. This role is perfect for someone with around 4 years' experience in digital marketing account management and client relationships. This experience mustcome from paid and organic social media, paid search and paid display advertising. Experience working in the B2B space; ideally within technology, is also necessary. While social media and B2B influencer marketing is the core skill we're looking for, we're seeking someone with a genuine interest in the whole digital marketing mix. The ideal candidate will understand and be able to demonstrate the principles of SEO and content marketing as well as having a real desire to learn about and be exposed to integrated marketing planning. Main job functions Be a custodian of the Hoffman brand and ensure that brand guidelines are adhered to over all brand touchpoints Take briefs/plans from the SVP of Marketing Services and translate them into actionable tasks (SLAs and account plans) Ensure that client SLAs are in place, managed and met, with responsibility taken for the fulfilment of client activity Own and manage the creation and delivery of tasks on client accounts according to agreed plans, working with account leads to allocate tasks appropriately Ownership of, and accountability for, all key account processes (reporting, influencer relations, content creation, social media etc) - approving work from junior team members, providing full and frank feedback and guidance, and on-the-job training where required. Raise issues of concerns with mentors Leadership of account team meetings and client calls/meetings Ensure account profitability i.e. monitoring servicing levels on an ongoing basis Plan and prioritise marketing campaigns using an integrated, multi-channel approach to drive awareness, increase website traffic and capture new leads, meeting the goals outlined Social media & influencer marketing Create social media channel plans and content calendars Conduct social media audits Create creative asset briefs for platform-specific content Manage and optimise paid and organic social media channel campaigns in real-time Copy creation for social media channels (LinkedIn, Twitter, Facebook) Monitor the performance of campaigns and content against KPIs and benchmarks, providing data-driven insights and recommendations for improvements Use of social listening tools to provide data analysis and insight Brief suppliers, negotiate rates and organise quotes Integrated marketing planning Support the Marketing Services director on the delivery of diagnostic and strategic marketing services projects (e.g. brand audits, etc) Lead on the aggregation and analysis of digital platform data (primarily social, SEO and google analytics data) to derive actionable user and customer insights Skills & knowledge development Demonstrate a good understanding of the marketing mix Demonstrate willingness to learn about and immerse yourself in the creation and delivery of integrated marketing strategy Attend B2B marketing industry and technology-related events Stay up to date with B2B marketing techniques and ensure we are continually adhering to industry best practice Person Specification Essential A strong track record in B2B social media and influencer account management Previous experience of working in a similar B2B role (agency or in-house) A solid understanding of the marketing mix and the role PR plays in it Understanding and experience of SEO fundamentals Desired Experience of the wider digital marketing mix Willingness to contribute to digital marketing strategy Experience and knowledge of the B2B technology sector Excellent written and verbal communication skills Strategically minded and insight-driven
26/07/2026
Full time
Digital Account Manager The Hoffman Agency is a PR-led marketing agency offering world-class communications services across media, industry analysts, and digital channels. At our core we're a diverse collective of fresh thinkers who aren't afraid to challenge the status quo. We are on the lookout for a digital account manager with a flair for paid and organic and a strategic mind to join our growing marketing services division. You will be responsible for planning and delivering organic social, PPC and digital content campaigns for clients. You'll work closely with the EVP of Marketing Services, you will manage an SAE and work closely with our designer and PR team to ensure integrated approach. You'll also be regularly using our insight tools to deliver customer content and asset performance reporting. This role is perfect for someone with around 4 years' experience in digital marketing account management and client relationships. This experience mustcome from paid and organic social media, paid search and paid display advertising. Experience working in the B2B space; ideally within technology, is also necessary. While social media and B2B influencer marketing is the core skill we're looking for, we're seeking someone with a genuine interest in the whole digital marketing mix. The ideal candidate will understand and be able to demonstrate the principles of SEO and content marketing as well as having a real desire to learn about and be exposed to integrated marketing planning. Main job functions Be a custodian of the Hoffman brand and ensure that brand guidelines are adhered to over all brand touchpoints Take briefs/plans from the SVP of Marketing Services and translate them into actionable tasks (SLAs and account plans) Ensure that client SLAs are in place, managed and met, with responsibility taken for the fulfilment of client activity Own and manage the creation and delivery of tasks on client accounts according to agreed plans, working with account leads to allocate tasks appropriately Ownership of, and accountability for, all key account processes (reporting, influencer relations, content creation, social media etc) - approving work from junior team members, providing full and frank feedback and guidance, and on-the-job training where required. Raise issues of concerns with mentors Leadership of account team meetings and client calls/meetings Ensure account profitability i.e. monitoring servicing levels on an ongoing basis Plan and prioritise marketing campaigns using an integrated, multi-channel approach to drive awareness, increase website traffic and capture new leads, meeting the goals outlined Social media & influencer marketing Create social media channel plans and content calendars Conduct social media audits Create creative asset briefs for platform-specific content Manage and optimise paid and organic social media channel campaigns in real-time Copy creation for social media channels (LinkedIn, Twitter, Facebook) Monitor the performance of campaigns and content against KPIs and benchmarks, providing data-driven insights and recommendations for improvements Use of social listening tools to provide data analysis and insight Brief suppliers, negotiate rates and organise quotes Integrated marketing planning Support the Marketing Services director on the delivery of diagnostic and strategic marketing services projects (e.g. brand audits, etc) Lead on the aggregation and analysis of digital platform data (primarily social, SEO and google analytics data) to derive actionable user and customer insights Skills & knowledge development Demonstrate a good understanding of the marketing mix Demonstrate willingness to learn about and immerse yourself in the creation and delivery of integrated marketing strategy Attend B2B marketing industry and technology-related events Stay up to date with B2B marketing techniques and ensure we are continually adhering to industry best practice Person Specification Essential A strong track record in B2B social media and influencer account management Previous experience of working in a similar B2B role (agency or in-house) A solid understanding of the marketing mix and the role PR plays in it Understanding and experience of SEO fundamentals Desired Experience of the wider digital marketing mix Willingness to contribute to digital marketing strategy Experience and knowledge of the B2B technology sector Excellent written and verbal communication skills Strategically minded and insight-driven
Job Summary The Data Engineer plays an important role in the development of our software solution, used by our clients to help them with their complex data transformation challenges. Our system combines the latest ML based techniques with logic-based transformation, overseen by domain experts, to provide innovative solutions to our clients. This role supports the development of the data system focusing on orchestration, resilience and scaling. Additionally, we aim to provide a framework on which our data transformation modules can be developed by a growing team of junior engineers and technical SMEs. The role may also support the implementation of the systems, including deployment and integration with clients' own data stores, processes and workflows. Team Description Data Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding. You will be based in Llandudno, North Wales in a hybrid setting, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts. Key Responsibilities Plan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels. Contribute to the development of our data platform infrastructure, including orchestration systems, data processing logic and interactions between system components. Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering. Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc. Influence our choice of architecture and technology. Communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders. Apply best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL), minimizing technical debt and optimizing performance where it matters. Partner with data analysts, data scientists, and other end users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs. Share work and best practices; collaborate with others; ensure alignment to company growth ambitions. Qualifications and Experience Essential experience developing data integrations with geoscience or other scientific data types, particularly in oil and gas and/or mining domains. Previous experience designing, building and maintaining data transformations in a system or product setting. Ability to write secure and performant code in Python and SQL, and to optimize queries and data pipelines. Experience using orchestrators and ETL tools, especially Airflow. Significant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or vector. Data architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture). Experience with Docker, VCS (git, Gitlab) and knowledge of CI/CD. Enthusiastic attitude towards learning and ability to adapt to new challenges or changes in direction. Preferred: Knowledge of DevOps and DataOps best practices. Preferred: Kubernetes deployment experience. Preferred: Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks. RESTful API / GraphQL. Infrastructure as Code. Previous experience building web applications with wide-ranging knowledge of web frameworks, HTTP, networking, security etc. Why work with us? Competitive salary commensurate with experience. Highly attractive bonus scheme. Hybrid model and flexible working with up to 2 days at home. Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program. Company pension with generous employer contribution. Wellbeing - Unmind app - puts you in control of your mental health. A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year. Cycle purchase scheme. Flexible Private Medical & Dental care programmes. Bank Holiday Swap - change a holiday for another day of your choice. Relaxed dress code policy. Equal Employment Opportunity We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals. Create a brighter future for yourself while taking on some of the world's most complex geoscience challenges.
26/07/2026
Full time
Job Summary The Data Engineer plays an important role in the development of our software solution, used by our clients to help them with their complex data transformation challenges. Our system combines the latest ML based techniques with logic-based transformation, overseen by domain experts, to provide innovative solutions to our clients. This role supports the development of the data system focusing on orchestration, resilience and scaling. Additionally, we aim to provide a framework on which our data transformation modules can be developed by a growing team of junior engineers and technical SMEs. The role may also support the implementation of the systems, including deployment and integration with clients' own data stores, processes and workflows. Team Description Data Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding. You will be based in Llandudno, North Wales in a hybrid setting, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts. Key Responsibilities Plan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels. Contribute to the development of our data platform infrastructure, including orchestration systems, data processing logic and interactions between system components. Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering. Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc. Influence our choice of architecture and technology. Communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders. Apply best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL), minimizing technical debt and optimizing performance where it matters. Partner with data analysts, data scientists, and other end users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs. Share work and best practices; collaborate with others; ensure alignment to company growth ambitions. Qualifications and Experience Essential experience developing data integrations with geoscience or other scientific data types, particularly in oil and gas and/or mining domains. Previous experience designing, building and maintaining data transformations in a system or product setting. Ability to write secure and performant code in Python and SQL, and to optimize queries and data pipelines. Experience using orchestrators and ETL tools, especially Airflow. Significant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or vector. Data architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture). Experience with Docker, VCS (git, Gitlab) and knowledge of CI/CD. Enthusiastic attitude towards learning and ability to adapt to new challenges or changes in direction. Preferred: Knowledge of DevOps and DataOps best practices. Preferred: Kubernetes deployment experience. Preferred: Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks. RESTful API / GraphQL. Infrastructure as Code. Previous experience building web applications with wide-ranging knowledge of web frameworks, HTTP, networking, security etc. Why work with us? Competitive salary commensurate with experience. Highly attractive bonus scheme. Hybrid model and flexible working with up to 2 days at home. Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program. Company pension with generous employer contribution. Wellbeing - Unmind app - puts you in control of your mental health. A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year. Cycle purchase scheme. Flexible Private Medical & Dental care programmes. Bank Holiday Swap - change a holiday for another day of your choice. Relaxed dress code policy. Equal Employment Opportunity We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals. Create a brighter future for yourself while taking on some of the world's most complex geoscience challenges.
London, United Kingdom Posted on 21/05/2026 Overview Develop, implement, and execute comprehensive test plans for GOV.UK digital services. Identify key testing objectives and ensure coverage of user requirements across different environments. Functional & Non-Functional Testing Conduct functional, regression, integration, and user acceptance testing (UAT). Perform non functional testing, including performance, security, and usability testing. Automation & Test Framework Development Design and implement test automation frameworks using industry best practices. Automate API testing using tools such as Postman, RestAssured, or equivalent. Integrate automated tests into CI/CD pipelines for continuous testing and deployment. Identify, document, and track defects using test management tools (Azure DevOps, JIRA). Work closely with development teams to resolve issues effectively. Produce detailed test reports and communicate findings to stakeholders. Work in Agile environments (Scrum/Kanban), contributing to sprint planning and retrospectives. Collaborate with developers, product managers, and business analysts to define test strategies. Provide guidance and mentor junior testers in automation best practices. Compliance with GOV.UK & DDAT Standards Follow GOV.UK service design principles and DDAT frameworks for testing government applications. Ensure all tests align with security and compliance regulations. Technical Skills & Experience 6+ years of experience in test automation and software quality assurance. Hands on experience in automation testing frameworks such as Playwright, Selenium, Cypress (for UI automation) and RestAssured (BDD), Postman (for API testing). Experience developing test automation frameworks from scratch. Strong knowledge of microservices architecture and testing challenges. Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Experience with SQL and relational database testing.
26/07/2026
Full time
London, United Kingdom Posted on 21/05/2026 Overview Develop, implement, and execute comprehensive test plans for GOV.UK digital services. Identify key testing objectives and ensure coverage of user requirements across different environments. Functional & Non-Functional Testing Conduct functional, regression, integration, and user acceptance testing (UAT). Perform non functional testing, including performance, security, and usability testing. Automation & Test Framework Development Design and implement test automation frameworks using industry best practices. Automate API testing using tools such as Postman, RestAssured, or equivalent. Integrate automated tests into CI/CD pipelines for continuous testing and deployment. Identify, document, and track defects using test management tools (Azure DevOps, JIRA). Work closely with development teams to resolve issues effectively. Produce detailed test reports and communicate findings to stakeholders. Work in Agile environments (Scrum/Kanban), contributing to sprint planning and retrospectives. Collaborate with developers, product managers, and business analysts to define test strategies. Provide guidance and mentor junior testers in automation best practices. Compliance with GOV.UK & DDAT Standards Follow GOV.UK service design principles and DDAT frameworks for testing government applications. Ensure all tests align with security and compliance regulations. Technical Skills & Experience 6+ years of experience in test automation and software quality assurance. Hands on experience in automation testing frameworks such as Playwright, Selenium, Cypress (for UI automation) and RestAssured (BDD), Postman (for API testing). Experience developing test automation frameworks from scratch. Strong knowledge of microservices architecture and testing challenges. Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Experience with SQL and relational database testing.
Senior Data Analyst Department: Analytics & Insights Reporting to: Regional Analytics Manager Responsibilities Answer business questions from stakeholders across a wide range of departments. Address analysis requests and provide actionable insights. Build reports, dashboards, models and proof of concepts. Partner with relevant teams to determine campaign effectiveness using performance data. Assist the marketing team to determine ROI and monetary impact of acquisition efforts. Improve the flow of reporting/explanations and rationale; explain performance to relevant stakeholders. Maintain knowledge, expertise and best practices on a suite of data & BI technologies to promote appropriate adoption with the team. Stay up to date on the latest technologies and best practices. Essential Skills Qualified to degree level in a numeric/data-prominent discipline or similar. At least 5 years work experience in a data analytics or business intelligence role. Experience with Tableau, Power BI, or other data visualisation tools. Demonstrable SQL skills to query complex data sets. Strong analytical and report development abilities. Strong communication and presentation skills. Ability to convey concepts, analysis and insights to technical as well as non technical audiences. Ability to develop and sustain relationships with key stakeholders and peers. Ability to analyse large amounts of data quickly and accurately. Ability to manage a challenging workload while working quickly and precisely under pressure. Passionate about data. Desirable Skills Experience of working in the online gaming or casino industry. Experience of mentoring or coaching junior analysts. Knowledge of online casino and sports betting. Proficiency in Excel or other data analysis tools. Experience using Databricks. Experience with other BI tools such as Alteryx. Experience using Google Analytics for reporting and analysis (including BigQuery). About the Role This job description is not intended to be an exhaustive list of responsibilities. Other reasonable duties may be required to achieve business objectives.
26/07/2026
Full time
Senior Data Analyst Department: Analytics & Insights Reporting to: Regional Analytics Manager Responsibilities Answer business questions from stakeholders across a wide range of departments. Address analysis requests and provide actionable insights. Build reports, dashboards, models and proof of concepts. Partner with relevant teams to determine campaign effectiveness using performance data. Assist the marketing team to determine ROI and monetary impact of acquisition efforts. Improve the flow of reporting/explanations and rationale; explain performance to relevant stakeholders. Maintain knowledge, expertise and best practices on a suite of data & BI technologies to promote appropriate adoption with the team. Stay up to date on the latest technologies and best practices. Essential Skills Qualified to degree level in a numeric/data-prominent discipline or similar. At least 5 years work experience in a data analytics or business intelligence role. Experience with Tableau, Power BI, or other data visualisation tools. Demonstrable SQL skills to query complex data sets. Strong analytical and report development abilities. Strong communication and presentation skills. Ability to convey concepts, analysis and insights to technical as well as non technical audiences. Ability to develop and sustain relationships with key stakeholders and peers. Ability to analyse large amounts of data quickly and accurately. Ability to manage a challenging workload while working quickly and precisely under pressure. Passionate about data. Desirable Skills Experience of working in the online gaming or casino industry. Experience of mentoring or coaching junior analysts. Knowledge of online casino and sports betting. Proficiency in Excel or other data analysis tools. Experience using Databricks. Experience with other BI tools such as Alteryx. Experience using Google Analytics for reporting and analysis (including BigQuery). About the Role This job description is not intended to be an exhaustive list of responsibilities. Other reasonable duties may be required to achieve business objectives.
Job Title: Business Analyst Location: London Reporting Line: Co-Managing Director Level for Referral Policy: Junior Who We Are Founded in 2002 as a pioneering hedge fund, Marble Bar has built its reputation on intellectual discipline, research, data-driven insight and a deep understanding of investment behaviours. Since its founding, the firm has helped portfolio managers identify repeatable processes within their investment practice and sustain their edge in constantly evolving markets. For over twenty years, we have successfully identified exceptional managers and created environments to help them generate durable returns. What We Do In 2016 we launched The Partners Business and opened our integrated architecture to independent hedge fund managers, supporting them initially as they navigate the fragile early stages of building their businesses. We are a shared operating system purpose built to support hedge fund managers at every stage of their lifecycle, from launch and early operational resilience to performance development, capital formation, and long-term scale. This has established Marble Bar as the leading home for exceptional managers wishing to create unique and independent investment firms with the freedom to focus on investing. Your Role This is a high-impact, multi-disciplinary position sitting at the intersection of financial modelling, commercial deal structuring and investment talent assessment. The successful candidate will work directly with senior leadership to strengthen the firm's analytical and decision-making infrastructure - both at the enterprise level and in support of Marble Bar's core activity of identifying, onboarding and growing the Partners Business. This is a generalist analytical role for someone who is equally comfortable building bottom-up operational models, structuring partnership economics and interrogating an investment manager's track record. Strong quantitative and programming skills, combined with the communication ability to present findings clearly to senior stakeholders, are essential. Your Key Areas of Impact Enterprise Financial & Operational Modelling Build and maintain bottom-up financial and operational models of the firm, incorporating headcount, cost, revenue and capacity assumptions Support improved budgeting, forecasting and objective-setting processes across the business Design and implement an activity-based costing framework, costing the use of central resources provided to each Partner Provide clear visibility into deal-level, cost-centre and partnership-level profitability Develop capacity and throughput models to assess operational infrastructure and support planning for portfolio growth Support the design of a KPI and OKR-driven performance monitoring system, establishing metrics that track progress against strategic objectives Partnership Deal Modelling & Structuring Build bespoke financial models to analyse and stress-test the economics of proposed partnership arrangements with new and existing Partners Model revenue share, fee structures, capital allocation and hurdle rate mechanics across a range of deal scenarios Produce clear deal summaries and scenario analyses to support Deal Committee presentations and internal investment decisions Maintain and develop a modelling framework that can be applied consistently across new partnership opportunities Work closely with senior leadership and legal to translate commercial terms into quantitative model assumptions Investment Talent Diligence & Assessment Conduct quantitative and qualitative due diligence on prospective Partner investment managers, assessing track records, investment strategy, alpha generation and risk profile Produce detailed performance analytics reviews within the Partners due diligence process, including strategy assessment, historical portfolio and trading history analysis Profile prospective Partners including assessment of expected returns, risk characteristics, capacity and optimal market environments for their strategies Develop and systematise analytical frameworks to assess track records with varying degrees of data completeness Identify initial areas of opportunity for portfolio management and trading behaviour improvement in prospective and existing Partners Data, Reporting & Analytics Infrastructure Build and maintain databases and structured datasets covering Partner Firm performance, deal economics and operational metrics Develop and automate reports, dashboards and presentations for senior management and Partner Firm stakeholders using Python and BI tools Work with developers and the risk/analytics team to continuously improve reporting capabilities and deliver novel analytical tools Support the IR and Capital Development teams with data and analytics outputs for investor due diligence processes What We Are Looking For Ability to deliver advanced financial and operational modelling, demonstrating bottom-up, scenario based and activity-based costing approaches Prior exposure to investment manager due diligence, fund analysis or alternative strategies (equities, credit, macro) Experience structuring or modelling commercial deals, partnership economics or fee arrangements Strong data management skills including SQL databases and structured data pipelines Proficiency in Python for data analysis, modelling automation and workflow scripting (Pandas, NumPy, SciPy) Exceptional communication skills and ability to present complex quantitative findings clearly to senior and non-technical audiences Strong organisational skills and ability to manage multiple workstreams with competing deadlines Familiarity with AI and natural language models is a plus The role is based in London with an expectation of 5 days per week in the office.
26/07/2026
Full time
Job Title: Business Analyst Location: London Reporting Line: Co-Managing Director Level for Referral Policy: Junior Who We Are Founded in 2002 as a pioneering hedge fund, Marble Bar has built its reputation on intellectual discipline, research, data-driven insight and a deep understanding of investment behaviours. Since its founding, the firm has helped portfolio managers identify repeatable processes within their investment practice and sustain their edge in constantly evolving markets. For over twenty years, we have successfully identified exceptional managers and created environments to help them generate durable returns. What We Do In 2016 we launched The Partners Business and opened our integrated architecture to independent hedge fund managers, supporting them initially as they navigate the fragile early stages of building their businesses. We are a shared operating system purpose built to support hedge fund managers at every stage of their lifecycle, from launch and early operational resilience to performance development, capital formation, and long-term scale. This has established Marble Bar as the leading home for exceptional managers wishing to create unique and independent investment firms with the freedom to focus on investing. Your Role This is a high-impact, multi-disciplinary position sitting at the intersection of financial modelling, commercial deal structuring and investment talent assessment. The successful candidate will work directly with senior leadership to strengthen the firm's analytical and decision-making infrastructure - both at the enterprise level and in support of Marble Bar's core activity of identifying, onboarding and growing the Partners Business. This is a generalist analytical role for someone who is equally comfortable building bottom-up operational models, structuring partnership economics and interrogating an investment manager's track record. Strong quantitative and programming skills, combined with the communication ability to present findings clearly to senior stakeholders, are essential. Your Key Areas of Impact Enterprise Financial & Operational Modelling Build and maintain bottom-up financial and operational models of the firm, incorporating headcount, cost, revenue and capacity assumptions Support improved budgeting, forecasting and objective-setting processes across the business Design and implement an activity-based costing framework, costing the use of central resources provided to each Partner Provide clear visibility into deal-level, cost-centre and partnership-level profitability Develop capacity and throughput models to assess operational infrastructure and support planning for portfolio growth Support the design of a KPI and OKR-driven performance monitoring system, establishing metrics that track progress against strategic objectives Partnership Deal Modelling & Structuring Build bespoke financial models to analyse and stress-test the economics of proposed partnership arrangements with new and existing Partners Model revenue share, fee structures, capital allocation and hurdle rate mechanics across a range of deal scenarios Produce clear deal summaries and scenario analyses to support Deal Committee presentations and internal investment decisions Maintain and develop a modelling framework that can be applied consistently across new partnership opportunities Work closely with senior leadership and legal to translate commercial terms into quantitative model assumptions Investment Talent Diligence & Assessment Conduct quantitative and qualitative due diligence on prospective Partner investment managers, assessing track records, investment strategy, alpha generation and risk profile Produce detailed performance analytics reviews within the Partners due diligence process, including strategy assessment, historical portfolio and trading history analysis Profile prospective Partners including assessment of expected returns, risk characteristics, capacity and optimal market environments for their strategies Develop and systematise analytical frameworks to assess track records with varying degrees of data completeness Identify initial areas of opportunity for portfolio management and trading behaviour improvement in prospective and existing Partners Data, Reporting & Analytics Infrastructure Build and maintain databases and structured datasets covering Partner Firm performance, deal economics and operational metrics Develop and automate reports, dashboards and presentations for senior management and Partner Firm stakeholders using Python and BI tools Work with developers and the risk/analytics team to continuously improve reporting capabilities and deliver novel analytical tools Support the IR and Capital Development teams with data and analytics outputs for investor due diligence processes What We Are Looking For Ability to deliver advanced financial and operational modelling, demonstrating bottom-up, scenario based and activity-based costing approaches Prior exposure to investment manager due diligence, fund analysis or alternative strategies (equities, credit, macro) Experience structuring or modelling commercial deals, partnership economics or fee arrangements Strong data management skills including SQL databases and structured data pipelines Proficiency in Python for data analysis, modelling automation and workflow scripting (Pandas, NumPy, SciPy) Exceptional communication skills and ability to present complex quantitative findings clearly to senior and non-technical audiences Strong organisational skills and ability to manage multiple workstreams with competing deadlines Familiarity with AI and natural language models is a plus The role is based in London with an expectation of 5 days per week in the office.
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You'll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. You'll also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities As a Senior Data Engineer, you can expect to: Build and maintain orchestration pipelines on Astronomer (Airflow), including automated model deployment for dbt users. Design and manage data ingestion and orchestration using Fivetran at scale Contribute to the team's vision and roadmap, and lead technically complex initiatives and be responsible for their success. Enhance our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging. Contribute to group initiatives or peer-level initiatives to improve the data platform. Foster growth and capabilities in our less experienced engineers through coaching, and support our data consumers in building their own models. Cultivate a collaborative data culture that empowers self-serve data and model creation. Requirements A track record of building and operating production data pipelines, including working with stakeholders to define requirements and SLAs. A strong experience using batch orchestration tools like Airflow and DBT. A strong of data warehousing patterns (e.g. lakehouse and medallion), performance optimisation (Spark/Delta), and data quality monitoring. Technical authoring and architecture design experience. Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts. Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow. Mentor and support junior engineers and partner with data scientists on data engineering projects. Additional Information PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
26/07/2026
Full time
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You'll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. You'll also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities As a Senior Data Engineer, you can expect to: Build and maintain orchestration pipelines on Astronomer (Airflow), including automated model deployment for dbt users. Design and manage data ingestion and orchestration using Fivetran at scale Contribute to the team's vision and roadmap, and lead technically complex initiatives and be responsible for their success. Enhance our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging. Contribute to group initiatives or peer-level initiatives to improve the data platform. Foster growth and capabilities in our less experienced engineers through coaching, and support our data consumers in building their own models. Cultivate a collaborative data culture that empowers self-serve data and model creation. Requirements A track record of building and operating production data pipelines, including working with stakeholders to define requirements and SLAs. A strong experience using batch orchestration tools like Airflow and DBT. A strong of data warehousing patterns (e.g. lakehouse and medallion), performance optimisation (Spark/Delta), and data quality monitoring. Technical authoring and architecture design experience. Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts. Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow. Mentor and support junior engineers and partner with data scientists on data engineering projects. Additional Information PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
About your new role To provide support to all levels of the organisation by providing detailed analysis of financial performance. Responsibilities Support the Head of Business Partnering in provision of management information to the Legal Operations divisions. Provide detailed analysis of client profitability to senior management and other parts of the business as required. Monitor the control of work in progress, disbursements and debt. Liaise with partners and fee earners on their working capital management. Supporting budgeting and forecasting. Working with Heads of Client Delivery (HCD) to draft team sheets and ensure timely completion in accordance with Board timetables. Provision of historic data to support forecasting efforts. Involvement in tendering and other business development opportunities - providing expert advice and profitability analysis to Client Relationship Partners and Marketing to support pricing decisions in bids and proposals. Assist the Head of Business Partnering and the Finance Director in the development and provision of commerciality and pricing training to Legal Operations staff. Close involvement with Finance department to understand the key drivers in how the department supports the Operational part of the business. Support Finance colleagues with inputs to key judgements such as WIP valuation, and associated queries with auditors. Close involvement with Legal Operations to understand the key drivers to support operational performance improvements. Must build relationships at Team Manager and HCD level to provide decision support. Partnering with Information Systems/Business Intelligence departments to ensure Finance oversight of all reporting circulated to the firm. About You Essential Qualifications Accounting qualification (ICAEW/CIMA/ACCA) The confidence to establish a reputation across the full business spectrum, from most senior to junior colleagues. Self-starter to work with minimum supervision. Able to work in a team displaying the values and respect implicit in the Firm's culture. Strong commercial acumen. Professional gravitas, to earn respect of senior partners, fee earners and colleagues. Enthusiastic attitude to identify and implement management improvements. Strong attention to detail and comfortable with handling and processing data using Excel to deliver intelligent reports. Strong and effective communication skills. Beneficial Qualifications Working knowledge of Elite 3E PMS or similar Legal finance systems. Previous experience of a large law firm. Advanced Microsoft Office i.e. Excel & Word.
25/07/2026
Full time
About your new role To provide support to all levels of the organisation by providing detailed analysis of financial performance. Responsibilities Support the Head of Business Partnering in provision of management information to the Legal Operations divisions. Provide detailed analysis of client profitability to senior management and other parts of the business as required. Monitor the control of work in progress, disbursements and debt. Liaise with partners and fee earners on their working capital management. Supporting budgeting and forecasting. Working with Heads of Client Delivery (HCD) to draft team sheets and ensure timely completion in accordance with Board timetables. Provision of historic data to support forecasting efforts. Involvement in tendering and other business development opportunities - providing expert advice and profitability analysis to Client Relationship Partners and Marketing to support pricing decisions in bids and proposals. Assist the Head of Business Partnering and the Finance Director in the development and provision of commerciality and pricing training to Legal Operations staff. Close involvement with Finance department to understand the key drivers in how the department supports the Operational part of the business. Support Finance colleagues with inputs to key judgements such as WIP valuation, and associated queries with auditors. Close involvement with Legal Operations to understand the key drivers to support operational performance improvements. Must build relationships at Team Manager and HCD level to provide decision support. Partnering with Information Systems/Business Intelligence departments to ensure Finance oversight of all reporting circulated to the firm. About You Essential Qualifications Accounting qualification (ICAEW/CIMA/ACCA) The confidence to establish a reputation across the full business spectrum, from most senior to junior colleagues. Self-starter to work with minimum supervision. Able to work in a team displaying the values and respect implicit in the Firm's culture. Strong commercial acumen. Professional gravitas, to earn respect of senior partners, fee earners and colleagues. Enthusiastic attitude to identify and implement management improvements. Strong attention to detail and comfortable with handling and processing data using Excel to deliver intelligent reports. Strong and effective communication skills. Beneficial Qualifications Working knowledge of Elite 3E PMS or similar Legal finance systems. Previous experience of a large law firm. Advanced Microsoft Office i.e. Excel & Word.
Overview Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we have helped businesses optimise marketing and operations by combining AI with business and tech expertise across four domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability. With in-house teams and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our technology and services. Our mission is to harness AI at scale with responsibility and values-driven work. Your responsibilities As a Senior Analyst specialising in Data Science & Marketing Effectiveness, you will lead the delivery of high-impact MMM programmes for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will manage small teams, oversee end-to-end project delivery, and ensure actionable insights are delivered to clients. Lead Projects Lead end-to-end MMM and marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation. Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data. Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery. Build dashboards and visualisation tools to communicate actionable insights using proprietary Ekimetrics frameworks and best practices. Translate complex analytics into clear, business-oriented recommendations for senior stakeholders and C-suite clients. Support clients in optimising marketing spend, understanding campaign performance, improving customer segmentation, and maximising ROI. Client & Account Management Serve as the day-to-day operational contact for clients, building trustful relationships and proactively identifying growth opportunities. Present findings, recommendations, and actionable insights in client-facing workshops and executive presentations. Collaborate closely with managers and partners to develop proposals for new or expanded work, aligned with Ekimetrics' commercial offerings. People & Project Leadership Lead teams of 3-10 colleagues across multiple projects, ensuring high-quality delivery, client satisfaction, and profitability. Mentor and develop junior team members, strengthening technical, analytical, and client-facing competencies. Share best practices and contribute to internal knowledge management initiatives. Practice & Business Growth Identify opportunities for account growth and contribute to development with existing and prospective clients. Act as an ambassador of Eki culture by supporting transversal initiatives (e.g., Thought Leadership, Knowledge Management, Recruitment and Innovation). Champion and role-model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure. Your profile Experience & Technical Skills Strong 3-4 years' experience in marketing effectiveness/MMM and analytics/data science. Bachelor's or master's degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure, or other cloud/data platforms is a plus. Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques. Experience translating data and model outputs into actionable business recommendations. Comfortable handling large datasets, optimizing data pipelines, and delivering high-quality outputs. Leadership & Client-Facing Skills Excellent communication and storytelling skills for senior stakeholders. Demonstrated ability to lead multiple project teams and manage priorities with autonomy. Strong strategic thinking, problem-solving mindset, and drive for continuous improvement. Supportive team player with a passion for talent development, coaching, and enabling team growth. Ability to contribute to impactful thought leadership and forward-thinking perspectives on measurement and marketing effectiveness. Why join us? At Ekimetrics, your ideas matter. We embrace an entrepreneurial spirit and a collaborative environment, with a focus on safe, inclusive spaces where you can bring your authentic self. We have pursued CSR and purpose-driven work, and are committed to sustainability through data science and AI. We are proud to be recognised as a Great Place to Work in multiple regions and to be part of initiatives and communities that support growth and innovation. Career development and growth opportunities Lead projects and develop advanced analytical and client-facing skills. Structured career progression from Senior Analyst, Manager, Senior Manager and beyond. Access to Eki.Academy, including solution-specific training, Climate School courses, and career development programs. Exposure to international clients, multiple industries, and high-impact projects. Compensation and benefits Salary £60,000-£75,000 plus 10% bonus and corporate bonus. Regular events and seminars to connect with colleagues. Modern office space in a central London location. Flexible hybrid working policy (2 days in office + 20 days work from anywhere). 25 days annual leave plus bank holidays, with an additional 3 days for tenure. Private healthcare, life insurance, and wellbeing support. Group pension scheme. Opportunities for international mobility and career development. Equal employment opportunities: Ekimetrics is committed to an inclusive work environment that respects diversity and provides equal opportunity for all applicants.
25/07/2026
Full time
Overview Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we have helped businesses optimise marketing and operations by combining AI with business and tech expertise across four domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability. With in-house teams and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our technology and services. Our mission is to harness AI at scale with responsibility and values-driven work. Your responsibilities As a Senior Analyst specialising in Data Science & Marketing Effectiveness, you will lead the delivery of high-impact MMM programmes for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will manage small teams, oversee end-to-end project delivery, and ensure actionable insights are delivered to clients. Lead Projects Lead end-to-end MMM and marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation. Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data. Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery. Build dashboards and visualisation tools to communicate actionable insights using proprietary Ekimetrics frameworks and best practices. Translate complex analytics into clear, business-oriented recommendations for senior stakeholders and C-suite clients. Support clients in optimising marketing spend, understanding campaign performance, improving customer segmentation, and maximising ROI. Client & Account Management Serve as the day-to-day operational contact for clients, building trustful relationships and proactively identifying growth opportunities. Present findings, recommendations, and actionable insights in client-facing workshops and executive presentations. Collaborate closely with managers and partners to develop proposals for new or expanded work, aligned with Ekimetrics' commercial offerings. People & Project Leadership Lead teams of 3-10 colleagues across multiple projects, ensuring high-quality delivery, client satisfaction, and profitability. Mentor and develop junior team members, strengthening technical, analytical, and client-facing competencies. Share best practices and contribute to internal knowledge management initiatives. Practice & Business Growth Identify opportunities for account growth and contribute to development with existing and prospective clients. Act as an ambassador of Eki culture by supporting transversal initiatives (e.g., Thought Leadership, Knowledge Management, Recruitment and Innovation). Champion and role-model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure. Your profile Experience & Technical Skills Strong 3-4 years' experience in marketing effectiveness/MMM and analytics/data science. Bachelor's or master's degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure, or other cloud/data platforms is a plus. Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques. Experience translating data and model outputs into actionable business recommendations. Comfortable handling large datasets, optimizing data pipelines, and delivering high-quality outputs. Leadership & Client-Facing Skills Excellent communication and storytelling skills for senior stakeholders. Demonstrated ability to lead multiple project teams and manage priorities with autonomy. Strong strategic thinking, problem-solving mindset, and drive for continuous improvement. Supportive team player with a passion for talent development, coaching, and enabling team growth. Ability to contribute to impactful thought leadership and forward-thinking perspectives on measurement and marketing effectiveness. Why join us? At Ekimetrics, your ideas matter. We embrace an entrepreneurial spirit and a collaborative environment, with a focus on safe, inclusive spaces where you can bring your authentic self. We have pursued CSR and purpose-driven work, and are committed to sustainability through data science and AI. We are proud to be recognised as a Great Place to Work in multiple regions and to be part of initiatives and communities that support growth and innovation. Career development and growth opportunities Lead projects and develop advanced analytical and client-facing skills. Structured career progression from Senior Analyst, Manager, Senior Manager and beyond. Access to Eki.Academy, including solution-specific training, Climate School courses, and career development programs. Exposure to international clients, multiple industries, and high-impact projects. Compensation and benefits Salary £60,000-£75,000 plus 10% bonus and corporate bonus. Regular events and seminars to connect with colleagues. Modern office space in a central London location. Flexible hybrid working policy (2 days in office + 20 days work from anywhere). 25 days annual leave plus bank holidays, with an additional 3 days for tenure. Private healthcare, life insurance, and wellbeing support. Group pension scheme. Opportunities for international mobility and career development. Equal employment opportunities: Ekimetrics is committed to an inclusive work environment that respects diversity and provides equal opportunity for all applicants.