RSMB
City, London
RSMB is seeking an experienced and highly capable Senior Full Stack Engineer to play a central role in the design, development, and evolution of our expanding product suite, including Barb Ads Hub, NMO XCM, and our Data Fusion platform. You will join the team based in London ( Hybrid 2 days per week in the office ) . You will join us on a full-time, permanent basis, and in return, you will receive a competitive salary of up to £85,000 per annum, based on experience. RSMB is a leading company specialising in media measurement solutions. We work with a wide range of clients delivering both long-term contracts like Barb (UK TV audience measurement) and RAJAR (Radio audience measurement), and ad hoc projects. We are proud that we have been a Barb TV audience measurement contractor since 1989 and a RAJAR contractor since 2007. Our team of around 50 people are based in Central London, and we are currently operating hybrid working: splitting the week between home and office working. The Senior Full Stack Engineer role: This role sits within the Development team in the Technology department and is critical to delivering scalable, high-performance, data-driven products. You will work across the full stack, contributing to backend services, APIs, and frontend applications, while collaborating closely with data science, product, and external partners to deliver robust, user-focused solutions. RSMB has been a specialist in data science and audience measurement for almost 40 years, best known for developing industry-standard methodologies and measurement solutions. We are now building on that heritage through a growing suite of platforms designed to connect datasets, power advanced analytics, and deliver actionable insights across organisations. With around 50 staff and a hybrid setup in Central London, we combine deep technical expertise with a collaborative, product-focused mindset. Key responsibilities as our Senior Full Stack Engineer will include: Full Stack Development & System Design Designing and building scalable, maintainable, and high-performance applications across backend and frontend layers. Developing backend services using Python and SQL, with integration into Azure-based infrastructure and Snowflake data platforms. Building intuitive, performant front-end interfaces using React and modern JavaScript/TypeScript frameworks. Contributing to architecture decisions across multiple products, ensuring consistency, scalability, and long-term maintainability. Designing and developing APIs for internal and external consumption. Data Platform & Product Engineering Working on data-intensive products, including Data Fusion and analytics platforms, handling large-scale datasets and complex transformations. Collaborating with data scientists to productionise models, pipelines, and analytical workflows. Designing data models, pipelines, and query strategies to support performant analytics and reporting use cases. Ensuring data quality, integrity, and observability across systems. Delivery & Engineering Excellence Taking ownership of features from design through to deployment and ongoing iteration. Working within agile development processes, contributing to sprint planning, estimation, and continuous improvement. Writing clean, well-tested, and maintainable code, with strong emphasis on automated testing and CI/CD practices. Contributing to engineering standards, code reviews, and best practices across the Development team. Cross-functional Collaboration Working closely with Product Managers, Data Scientists, QA, and Technical Leadership to deliver high-quality products. Collaborating with external partners, clients, and industry stakeholders where required. Translating complex data and technical requirements into scalable engineering solutions. AI-Enabled Development Practices Effectively integrating AI-assisted development tools (e.g., code generation, testing, debugging, documentation) into day-to-day workflows. Applying critical judgement to ensure correctness, security, and maintainability of AI-assisted outputs. Continuously evaluating emerging AI tools and practices to improve engineering efficiency and quality What we are looking for in our Senior Full Stack Engineer: Proven experience (typically 5 10+ years) in full stack software engineering, ideally within data heavy, analytics, or SaaS environments Strong backend development experience with Python and SQL (relational and/or analytical databases). Experience working with cloud platforms, particularly Azure. Experience working with modern data platforms such as Snowflake (or similar analytical warehouses). Experience with .NET is desirable. Strong frontend development experience using React and modern JavaScript/TypeScript. Experience designing and building APIs and distributed systems. Solid understanding of data engineering concepts, including data modelling, ETL/ELT pipelines, and performance optimisation. Experience with CI/CD, containerised systems, and modern deployment workflows. Familiarity with working alongside data science teams and deploying data-driven products. Experience working in agile environments (Scrum/Kanban) with strong ownership of delivery. Strong problem-solving skills and ability to work with complex, data-rich systems. Excellent communication skills and ability to collaborate across technical and non-technical stakeholders. What you ll get in return as our Senior Full Stack Engineer: A central role in building industry-leading platforms such as Barb Ads Hub, NMO XCM, and Data Fusion. Opportunity to work on complex, high-impact data and analytics products used across the media ecosystem. Exposure to cutting-edge work in data integration, analytics, and measurement. Hybrid working model (2 days per week in our Central London office). A collaborative environment with strong engineering and data science expertise. 25 days holiday rising to 30, private medical insurance, pension, season ticket loan and more. Ready to help shape the next generation of RSMB s product portfolio? If you feel you have the skills and experience to become a Senior Full Stack Engineer in this exciting role, then please click apply now We'd love to hear from you! Please note that applicants must have the right to work in the UK. We are not accepting unsolicited agency applications for this role.
RSMB is seeking an experienced and highly capable Senior Full Stack Engineer to play a central role in the design, development, and evolution of our expanding product suite, including Barb Ads Hub, NMO XCM, and our Data Fusion platform. You will join the team based in London ( Hybrid 2 days per week in the office ) . You will join us on a full-time, permanent basis, and in return, you will receive a competitive salary of up to £85,000 per annum, based on experience. RSMB is a leading company specialising in media measurement solutions. We work with a wide range of clients delivering both long-term contracts like Barb (UK TV audience measurement) and RAJAR (Radio audience measurement), and ad hoc projects. We are proud that we have been a Barb TV audience measurement contractor since 1989 and a RAJAR contractor since 2007. Our team of around 50 people are based in Central London, and we are currently operating hybrid working: splitting the week between home and office working. The Senior Full Stack Engineer role: This role sits within the Development team in the Technology department and is critical to delivering scalable, high-performance, data-driven products. You will work across the full stack, contributing to backend services, APIs, and frontend applications, while collaborating closely with data science, product, and external partners to deliver robust, user-focused solutions. RSMB has been a specialist in data science and audience measurement for almost 40 years, best known for developing industry-standard methodologies and measurement solutions. We are now building on that heritage through a growing suite of platforms designed to connect datasets, power advanced analytics, and deliver actionable insights across organisations. With around 50 staff and a hybrid setup in Central London, we combine deep technical expertise with a collaborative, product-focused mindset. Key responsibilities as our Senior Full Stack Engineer will include: Full Stack Development & System Design Designing and building scalable, maintainable, and high-performance applications across backend and frontend layers. Developing backend services using Python and SQL, with integration into Azure-based infrastructure and Snowflake data platforms. Building intuitive, performant front-end interfaces using React and modern JavaScript/TypeScript frameworks. Contributing to architecture decisions across multiple products, ensuring consistency, scalability, and long-term maintainability. Designing and developing APIs for internal and external consumption. Data Platform & Product Engineering Working on data-intensive products, including Data Fusion and analytics platforms, handling large-scale datasets and complex transformations. Collaborating with data scientists to productionise models, pipelines, and analytical workflows. Designing data models, pipelines, and query strategies to support performant analytics and reporting use cases. Ensuring data quality, integrity, and observability across systems. Delivery & Engineering Excellence Taking ownership of features from design through to deployment and ongoing iteration. Working within agile development processes, contributing to sprint planning, estimation, and continuous improvement. Writing clean, well-tested, and maintainable code, with strong emphasis on automated testing and CI/CD practices. Contributing to engineering standards, code reviews, and best practices across the Development team. Cross-functional Collaboration Working closely with Product Managers, Data Scientists, QA, and Technical Leadership to deliver high-quality products. Collaborating with external partners, clients, and industry stakeholders where required. Translating complex data and technical requirements into scalable engineering solutions. AI-Enabled Development Practices Effectively integrating AI-assisted development tools (e.g., code generation, testing, debugging, documentation) into day-to-day workflows. Applying critical judgement to ensure correctness, security, and maintainability of AI-assisted outputs. Continuously evaluating emerging AI tools and practices to improve engineering efficiency and quality What we are looking for in our Senior Full Stack Engineer: Proven experience (typically 5 10+ years) in full stack software engineering, ideally within data heavy, analytics, or SaaS environments Strong backend development experience with Python and SQL (relational and/or analytical databases). Experience working with cloud platforms, particularly Azure. Experience working with modern data platforms such as Snowflake (or similar analytical warehouses). Experience with .NET is desirable. Strong frontend development experience using React and modern JavaScript/TypeScript. Experience designing and building APIs and distributed systems. Solid understanding of data engineering concepts, including data modelling, ETL/ELT pipelines, and performance optimisation. Experience with CI/CD, containerised systems, and modern deployment workflows. Familiarity with working alongside data science teams and deploying data-driven products. Experience working in agile environments (Scrum/Kanban) with strong ownership of delivery. Strong problem-solving skills and ability to work with complex, data-rich systems. Excellent communication skills and ability to collaborate across technical and non-technical stakeholders. What you ll get in return as our Senior Full Stack Engineer: A central role in building industry-leading platforms such as Barb Ads Hub, NMO XCM, and Data Fusion. Opportunity to work on complex, high-impact data and analytics products used across the media ecosystem. Exposure to cutting-edge work in data integration, analytics, and measurement. Hybrid working model (2 days per week in our Central London office). A collaborative environment with strong engineering and data science expertise. 25 days holiday rising to 30, private medical insurance, pension, season ticket loan and more. Ready to help shape the next generation of RSMB s product portfolio? If you feel you have the skills and experience to become a Senior Full Stack Engineer in this exciting role, then please click apply now We'd love to hear from you! Please note that applicants must have the right to work in the UK. We are not accepting unsolicited agency applications for this role.
Boston Consulting Group
Locations: Boston London Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Join the Data Layer Team, a global portfolio transforming our organization into a data-driven enterprise! The Data Layer Team is a portfolio of 30 people who build essential data platforms, products, and capabilities to empower our clients and colleagues with high-quality, actionable insights. Our focus is on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company. As Use Case Enablement Product Analyst within BCG's Data Layer Team, you will collaborate with Use Case Enablement Product Owner and cross-functional teams to gather and analyze business and data requirements. Your role is critical to bridging the gap between business stakeholders and technical teams, ensuring that new GenAI use cases are well-scoped, feasible, and aligned with user needs. You will work with various Gen AI use cases and applications, including: Consultant Journey - internal GenAI assistants that changes the way consultants work to provide value to our clients. Practice Area GenAI applications - developed by functional practice areas to support various capabilities (e.g., outside-in rapid cost diagnostics or Accelerated Cost Analysis). Data catalog - a centralized library that provides consulting teams with access to critical tools and data assets across BCG These tools require ingestion of multiple data sources, and your role will be to support the selection of eligible datasets and identify the best sources for each GenAI use case. You will ensure that these use cases and applications are equipped with the necessary data pipelines to maximize their impact on business and users. You will play a key role in use case discovery and requirements refinement, while also managing the continuous maintenance and enhancement of data asset quality, accuracy, and stability to support evolving use cases. Detailed responsibilities include: Deliver business results and customer value Support the development of GenAI-enabled data products by helping translate business needs into actionable data requirements Help to define requirements for user stories and structure the backlog with a focus on measurable outcomes Help shape GenAI-enabled use cases that contribute to real business impact, through thoughtful prioritization and attention to detail Participate in evaluating use case success metrics and learn from what works (and what doesn't) Serve as the voice of customer or end-user Translate business needs into user stories, engaging end users for continuous feedback Engaging in continuous data discovery exercises to understand most valuable data assets that satisfy customer needs Balance customer value, technical feasibility, and business impact when making prioritization decisions Work with product teams to integrate GenAI-enhanced offerings into BCG systems and workflows Deliver high-quality outcomes Collaborate with engineers, architects, and product teammates to test and validate data pipelines - ensuring solutions are robust, accurate, and useful Contribute to documentation that helps others understand the "why" and "how" behind what's been built, supporting long-term scalability and reuse Work with stakeholders across BCG (e.g., Practice Areas, Knowledge Teams) to ensure data products are grounded in real needs and enable meaningful use Share observations, risks, or open questions early-your input helps the team avoid missteps and refine solutions before they reach users YOU'RE GOOD AT Being user-focused - Deeply understanding and translating business needs into GenAI-enabled solutions, ensuring offerings address real user challenges Communicating with transparency - Clearly and openly engaging with stakeholders at all levels, ensuring alignment, visibility, and trust across teams Bringing a data-driven approach to decision-making - Leveraging qualitative and quantitative insights to prioritize initiatives, measure impact, and refine solutions Facilitating data discovery sessions - Engaging business stakeholders to capture business context, user intent, and data solution objectives Breaking down complex challenges - Applying critical reasoning and creative problem-solving to analyze problem statements and design effective, scalable solutions Collaborating with product and technical teams - Working closely with POs, engineers, and data stewards to ensure solutions meet expectations and constraints Collaborating with development teams - Ensuring prioritized data sources align with GenAI solution requirements, business objectives, and technical feasibility Defining and tracking KPIs - Establishing measurable success metrics to drive squad performance and ensure data products align with OKRs Documenting thoughtfully - Creating simple, clear artifacts (e.g., data definitions, flow diagrams, test plans) that others can build from Contributing to continuous improvement - Bringing curiosity and a mindset of learning, always looking for ways to improve how the team works or deliver What You'll Bring 4-6+ years of experience in a product analyst, business analyst, or data analyst role -ideally supporting data or AI-related projects Project management skills, with ability to build project plans, track progress, drive alignment and manage risks Proven experience in AI, GenAI, or data product development, preferably with a focus on GenAI powered user-facing applications Experience in enterprise software development, data engineering, or AI-driven transformation initiatives Experience working with structured and unstructured data, and familiarity with modern data platforms (e.g., Snowflake, AWS, SharePoint) A working knowledge of agile ways of working, and openness to learning through iteration and feedback Understanding of enterprise data governance, AI model integration, and scalable data architecture Familiarity with AI/ML technologies, including GenAI models (e.g., OpenAI GPT, RAG, fine-tuning models, or machine learning frameworks) Good communication skills, especially when collaborating across different functions or surfacing potential risks or questions Familiarity with tools like JIRA, Confluence, Excel, or lightweight data catalog platforms is a plus Experience in a consulting or client-service environment is helpful, but not required Who You'll Work With BCG Global Consulting Practice Areas (Functional & Industry) and Data Teams - Partnering with business leaders to transform prioritized offerings into GenAI-enabled solutions, collaborating with teams such as the Data Product Portfolio, Data Governance CoE, Master Data Management, Enterprise Architecture, and Data Product Development Data Layer Offer Enablement Product Owner Lead (PO) - Aligning on strategic priorities, roadmap development, and execution Data Layer Offer Enablement Team - Collaborating amongst Data Product Analyst, and working alongside data engineers, lead architects, data stewards, and QA engineers Data Layer Data Governance Team - Partnering to ensure that data assets meet quality, metadata, and compliance standards, and are appropriately catalogued for reuse Product Teams - Collaborating with BCG's product team members to integrate required data sources into GenAI-enhanced offerings Agile Coaches - Embedding agile principles into daily work, leveraging coaching support to drive an iterative and user-focused approach to GenAI use case development Data Product Consumers (Internal Customers) - Translating their voice and needs into user stories, ensuring their requirements are reflected in the backlog, and actively engaging them for feedback and validation Additional info In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $102,000.00 - $137,333.33 This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 12% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. . click apply for full job details
Locations: Boston London Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Join the Data Layer Team, a global portfolio transforming our organization into a data-driven enterprise! The Data Layer Team is a portfolio of 30 people who build essential data platforms, products, and capabilities to empower our clients and colleagues with high-quality, actionable insights. Our focus is on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company. As Use Case Enablement Product Analyst within BCG's Data Layer Team, you will collaborate with Use Case Enablement Product Owner and cross-functional teams to gather and analyze business and data requirements. Your role is critical to bridging the gap between business stakeholders and technical teams, ensuring that new GenAI use cases are well-scoped, feasible, and aligned with user needs. You will work with various Gen AI use cases and applications, including: Consultant Journey - internal GenAI assistants that changes the way consultants work to provide value to our clients. Practice Area GenAI applications - developed by functional practice areas to support various capabilities (e.g., outside-in rapid cost diagnostics or Accelerated Cost Analysis). Data catalog - a centralized library that provides consulting teams with access to critical tools and data assets across BCG These tools require ingestion of multiple data sources, and your role will be to support the selection of eligible datasets and identify the best sources for each GenAI use case. You will ensure that these use cases and applications are equipped with the necessary data pipelines to maximize their impact on business and users. You will play a key role in use case discovery and requirements refinement, while also managing the continuous maintenance and enhancement of data asset quality, accuracy, and stability to support evolving use cases. Detailed responsibilities include: Deliver business results and customer value Support the development of GenAI-enabled data products by helping translate business needs into actionable data requirements Help to define requirements for user stories and structure the backlog with a focus on measurable outcomes Help shape GenAI-enabled use cases that contribute to real business impact, through thoughtful prioritization and attention to detail Participate in evaluating use case success metrics and learn from what works (and what doesn't) Serve as the voice of customer or end-user Translate business needs into user stories, engaging end users for continuous feedback Engaging in continuous data discovery exercises to understand most valuable data assets that satisfy customer needs Balance customer value, technical feasibility, and business impact when making prioritization decisions Work with product teams to integrate GenAI-enhanced offerings into BCG systems and workflows Deliver high-quality outcomes Collaborate with engineers, architects, and product teammates to test and validate data pipelines - ensuring solutions are robust, accurate, and useful Contribute to documentation that helps others understand the "why" and "how" behind what's been built, supporting long-term scalability and reuse Work with stakeholders across BCG (e.g., Practice Areas, Knowledge Teams) to ensure data products are grounded in real needs and enable meaningful use Share observations, risks, or open questions early-your input helps the team avoid missteps and refine solutions before they reach users YOU'RE GOOD AT Being user-focused - Deeply understanding and translating business needs into GenAI-enabled solutions, ensuring offerings address real user challenges Communicating with transparency - Clearly and openly engaging with stakeholders at all levels, ensuring alignment, visibility, and trust across teams Bringing a data-driven approach to decision-making - Leveraging qualitative and quantitative insights to prioritize initiatives, measure impact, and refine solutions Facilitating data discovery sessions - Engaging business stakeholders to capture business context, user intent, and data solution objectives Breaking down complex challenges - Applying critical reasoning and creative problem-solving to analyze problem statements and design effective, scalable solutions Collaborating with product and technical teams - Working closely with POs, engineers, and data stewards to ensure solutions meet expectations and constraints Collaborating with development teams - Ensuring prioritized data sources align with GenAI solution requirements, business objectives, and technical feasibility Defining and tracking KPIs - Establishing measurable success metrics to drive squad performance and ensure data products align with OKRs Documenting thoughtfully - Creating simple, clear artifacts (e.g., data definitions, flow diagrams, test plans) that others can build from Contributing to continuous improvement - Bringing curiosity and a mindset of learning, always looking for ways to improve how the team works or deliver What You'll Bring 4-6+ years of experience in a product analyst, business analyst, or data analyst role -ideally supporting data or AI-related projects Project management skills, with ability to build project plans, track progress, drive alignment and manage risks Proven experience in AI, GenAI, or data product development, preferably with a focus on GenAI powered user-facing applications Experience in enterprise software development, data engineering, or AI-driven transformation initiatives Experience working with structured and unstructured data, and familiarity with modern data platforms (e.g., Snowflake, AWS, SharePoint) A working knowledge of agile ways of working, and openness to learning through iteration and feedback Understanding of enterprise data governance, AI model integration, and scalable data architecture Familiarity with AI/ML technologies, including GenAI models (e.g., OpenAI GPT, RAG, fine-tuning models, or machine learning frameworks) Good communication skills, especially when collaborating across different functions or surfacing potential risks or questions Familiarity with tools like JIRA, Confluence, Excel, or lightweight data catalog platforms is a plus Experience in a consulting or client-service environment is helpful, but not required Who You'll Work With BCG Global Consulting Practice Areas (Functional & Industry) and Data Teams - Partnering with business leaders to transform prioritized offerings into GenAI-enabled solutions, collaborating with teams such as the Data Product Portfolio, Data Governance CoE, Master Data Management, Enterprise Architecture, and Data Product Development Data Layer Offer Enablement Product Owner Lead (PO) - Aligning on strategic priorities, roadmap development, and execution Data Layer Offer Enablement Team - Collaborating amongst Data Product Analyst, and working alongside data engineers, lead architects, data stewards, and QA engineers Data Layer Data Governance Team - Partnering to ensure that data assets meet quality, metadata, and compliance standards, and are appropriately catalogued for reuse Product Teams - Collaborating with BCG's product team members to integrate required data sources into GenAI-enhanced offerings Agile Coaches - Embedding agile principles into daily work, leveraging coaching support to drive an iterative and user-focused approach to GenAI use case development Data Product Consumers (Internal Customers) - Translating their voice and needs into user stories, ensuring their requirements are reflected in the backlog, and actively engaging them for feedback and validation Additional info In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $102,000.00 - $137,333.33 This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 12% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. . click apply for full job details
