SimplyBiz PLC is hiring a Senior Data Engineer to contribute to the firm's data transformation journey in London. This role involves leading the technical build of the new data model, collaborating across teams, and applying automation and AI solutions. The ideal candidate will have strong experience in SQL, data pipelines, and Google BigQuery, as well as skills in Python and automation tools. This position supports hybrid working with flexibility.
15/05/2026
Full time
SimplyBiz PLC is hiring a Senior Data Engineer to contribute to the firm's data transformation journey in London. This role involves leading the technical build of the new data model, collaborating across teams, and applying automation and AI solutions. The ideal candidate will have strong experience in SQL, data pipelines, and Google BigQuery, as well as skills in Python and automation tools. This position supports hybrid working with flexibility.
Senior Data Engineer Department: Data Employment Type: Permanent - Full Time Location: London Reporting To: Head of Data Description Role Overview: This is a broad, high-impact engineering role at Defaqto. You will be central to the structural transformation of how we manage and use market data - leading the technical build of a new core data model - while also owning the engineering that powers our research team's day-to-day operations and the wider data strategy. What you'll do We are at a pivotal moment in Defaqto's data journey. Our market data estate spans thousands of financial products, maintained by a team of 30+ researchers, and is being redesigned from the ground up into a unified market data model, replacing a flat, siloed structure with a scalable, enrichment-ready architecture. This role sits within the Data Team but works across the organisation, partnering and collaborating closely with Research T& Insights, Product, and IT. The successful candidate will help shape and build our next-generation data platform, contributing to architectural and tooling decisions alongside the CTO, Head of Data, and external data architect. Google BigQuery is the current lakehouse platform, but key tooling choices are still being defined. We are looking for an experienced engineer with strong technical judgement who can turn strategy into scalable, production-ready solutions. Alongside platform delivery, this person will lead the development and evolution of our research automation capability and play a key role in Defaqto's wider data and automation strategy. The initial focus will be implementing the agreed data model and technology approach while progressing automation initiatives in parallel. Data Model - Technical Build Implement the physical data model based on the agreed logical design and technology recommendations agreed during the architecture phase Build and maintain the transformation layer in the agreed tooling: staging models, mart models, tests, and documentation Design and implement compatibility views that allow existing research tooling to continue operating during transition Own the data quality framework - tests, monitoring, and alerting across the data model and downstream consumers Support the phased migration of the research data entry platform to write natively to the new schema Contribute engineering perspective to ongoing architecture decisions as the data model evolves beyond the initial scope Research Automation & Engineering Assess automation opportunities across research and data workflows and recommend the appropriate technical approach - whether rules-based, deterministic, or AI-assisted - based on the specific problem, data characteristics, and accuracy requirements Build and maintain automation pipelines that reduce manual research effort, selecting from the appropriate toolset including structured transformation, rules engines, and machine learning or LLM-based approaches where warranted Apply LLM and AI tooling to problems where unstructured data, variable formats, or language ambiguity make deterministic approaches insufficient - for example, extracting structured product attributes from provider documents or websites Ensure automation outputs - regardless of the method used - flow into the data model with appropriate quality controls and human-review checkpoints where confidence thresholds require it Be the primary technical partner for the Research & Insights team's data engineering needs Stay current with developments across the automation and AI engineering space and apply them with judgement, not by default Work with Research & Insights and Product stakeholders to identify high-value automation opportunities and maintain a prioritised delivery roadmap Data Strategy Implementation Contribute to and implement Defaqto's broader data strategy across the data estate Support the integration of acquired datasets (e.g. pricing and claims data) into the data model framework Build and maintain the data catalogue and lineage documentation Work toward an enrichment-ready data architecture that combines product attributes, performance, behaviour, and experience data. Participate in evaluating and adopting new data tooling as the stack evolves The opportunity A genuine opportunity to shape how a data-rich business transforms its core data infrastructure Broad scope - you will work across engineering, strategy, and automation rather than a narrow specialist track Collaborative team environment with a clear data strategy and leadership backing Hybrid working with flexibility What you'll need to succeed Essential requirements Strong hands-on experience with SQL and data modelling for analytical workloads (OLAP) Proficiency with dbt and familiarity with the broader SQL transformation layer ecosystem (SQLMesh, Dataform, or equivalent) - the specific tooling will be confirmed during the architecture phase and we are looking for adaptability across this space rather than allegiance to one tool Experience with Google BigQuery or an equivalent cloud data warehouse - BigQuery is our existing lakehouse platform Proven ability to design and implement data pipelines and ETL/ELT processes Experience working with version control (Git) and treating data infrastructure as code Proficiency with Python for data engineering and automation work Experience assessing and implementing automation solutions - able to evaluate whether a problem calls for rules-based logic, a deterministic pipeline, or an AI/ML approach, and build accordingly Practical experience working with LLMs or AI APIs in an engineering context - understanding of when they are and are not the right tool Ability to translate business rules and logic into reliable, testable data models Strong communication skills - able to work with non-technical stakeholders including researchers and product teams Desirable requirements Experience in financial services, insurance, or fintech data environments Familiarity with data quality frameworks such as Great Expectations or Soda Experience with Google Cloud Platform services beyond BigQuery (e.g. Dataplex, Cloud Composer, Pub/Sub) Exposure to .NET or relational SQL Server environments - relevant to legacy platform transition work Understanding of data cataloguing, lineage, and metadata management Experience applying ML or LLM-based approaches to document extraction, classification, or data enrichment problems Familiarity with LLM orchestration frameworks such as LangChain or LlamaIndex, or experience with RAG architectures - valued where directly applicable, not a requirement in isolation Familiarity with semantic or metrics layers (e.g. dbt Semantic Layer, Cube.dev) Your approach to work: Engineering Standards & Ways of Working Champion engineering best practices across the data team: version control, code review, testing, documentation Ensure all data models and pipelines are maintainable, observable, and well-documented Contribute to defining and upholding data engineering standards across the organisatio Important to know Location This is a hybrid role where you'll work from the London office 3 times each week. Right to Work Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.
15/05/2026
Full time
Senior Data Engineer Department: Data Employment Type: Permanent - Full Time Location: London Reporting To: Head of Data Description Role Overview: This is a broad, high-impact engineering role at Defaqto. You will be central to the structural transformation of how we manage and use market data - leading the technical build of a new core data model - while also owning the engineering that powers our research team's day-to-day operations and the wider data strategy. What you'll do We are at a pivotal moment in Defaqto's data journey. Our market data estate spans thousands of financial products, maintained by a team of 30+ researchers, and is being redesigned from the ground up into a unified market data model, replacing a flat, siloed structure with a scalable, enrichment-ready architecture. This role sits within the Data Team but works across the organisation, partnering and collaborating closely with Research T& Insights, Product, and IT. The successful candidate will help shape and build our next-generation data platform, contributing to architectural and tooling decisions alongside the CTO, Head of Data, and external data architect. Google BigQuery is the current lakehouse platform, but key tooling choices are still being defined. We are looking for an experienced engineer with strong technical judgement who can turn strategy into scalable, production-ready solutions. Alongside platform delivery, this person will lead the development and evolution of our research automation capability and play a key role in Defaqto's wider data and automation strategy. The initial focus will be implementing the agreed data model and technology approach while progressing automation initiatives in parallel. Data Model - Technical Build Implement the physical data model based on the agreed logical design and technology recommendations agreed during the architecture phase Build and maintain the transformation layer in the agreed tooling: staging models, mart models, tests, and documentation Design and implement compatibility views that allow existing research tooling to continue operating during transition Own the data quality framework - tests, monitoring, and alerting across the data model and downstream consumers Support the phased migration of the research data entry platform to write natively to the new schema Contribute engineering perspective to ongoing architecture decisions as the data model evolves beyond the initial scope Research Automation & Engineering Assess automation opportunities across research and data workflows and recommend the appropriate technical approach - whether rules-based, deterministic, or AI-assisted - based on the specific problem, data characteristics, and accuracy requirements Build and maintain automation pipelines that reduce manual research effort, selecting from the appropriate toolset including structured transformation, rules engines, and machine learning or LLM-based approaches where warranted Apply LLM and AI tooling to problems where unstructured data, variable formats, or language ambiguity make deterministic approaches insufficient - for example, extracting structured product attributes from provider documents or websites Ensure automation outputs - regardless of the method used - flow into the data model with appropriate quality controls and human-review checkpoints where confidence thresholds require it Be the primary technical partner for the Research & Insights team's data engineering needs Stay current with developments across the automation and AI engineering space and apply them with judgement, not by default Work with Research & Insights and Product stakeholders to identify high-value automation opportunities and maintain a prioritised delivery roadmap Data Strategy Implementation Contribute to and implement Defaqto's broader data strategy across the data estate Support the integration of acquired datasets (e.g. pricing and claims data) into the data model framework Build and maintain the data catalogue and lineage documentation Work toward an enrichment-ready data architecture that combines product attributes, performance, behaviour, and experience data. Participate in evaluating and adopting new data tooling as the stack evolves The opportunity A genuine opportunity to shape how a data-rich business transforms its core data infrastructure Broad scope - you will work across engineering, strategy, and automation rather than a narrow specialist track Collaborative team environment with a clear data strategy and leadership backing Hybrid working with flexibility What you'll need to succeed Essential requirements Strong hands-on experience with SQL and data modelling for analytical workloads (OLAP) Proficiency with dbt and familiarity with the broader SQL transformation layer ecosystem (SQLMesh, Dataform, or equivalent) - the specific tooling will be confirmed during the architecture phase and we are looking for adaptability across this space rather than allegiance to one tool Experience with Google BigQuery or an equivalent cloud data warehouse - BigQuery is our existing lakehouse platform Proven ability to design and implement data pipelines and ETL/ELT processes Experience working with version control (Git) and treating data infrastructure as code Proficiency with Python for data engineering and automation work Experience assessing and implementing automation solutions - able to evaluate whether a problem calls for rules-based logic, a deterministic pipeline, or an AI/ML approach, and build accordingly Practical experience working with LLMs or AI APIs in an engineering context - understanding of when they are and are not the right tool Ability to translate business rules and logic into reliable, testable data models Strong communication skills - able to work with non-technical stakeholders including researchers and product teams Desirable requirements Experience in financial services, insurance, or fintech data environments Familiarity with data quality frameworks such as Great Expectations or Soda Experience with Google Cloud Platform services beyond BigQuery (e.g. Dataplex, Cloud Composer, Pub/Sub) Exposure to .NET or relational SQL Server environments - relevant to legacy platform transition work Understanding of data cataloguing, lineage, and metadata management Experience applying ML or LLM-based approaches to document extraction, classification, or data enrichment problems Familiarity with LLM orchestration frameworks such as LangChain or LlamaIndex, or experience with RAG architectures - valued where directly applicable, not a requirement in isolation Familiarity with semantic or metrics layers (e.g. dbt Semantic Layer, Cube.dev) Your approach to work: Engineering Standards & Ways of Working Champion engineering best practices across the data team: version control, code review, testing, documentation Ensure all data models and pipelines are maintainable, observable, and well-documented Contribute to defining and upholding data engineering standards across the organisatio Important to know Location This is a hybrid role where you'll work from the London office 3 times each week. Right to Work Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.
SimplyBiz PLC is seeking a Product Owner based in Haddenham. In this hybrid role, you will manage the product backlog, work closely with engineering teams, and ensure successful product delivery within an Agile framework. The ideal candidate will have 3+ years in a similar role, strong backlog management skills, and experience in delivering SaaS or digital products. This role is crucial for driving the product vision and customer satisfaction through collaboration.
15/05/2026
Full time
SimplyBiz PLC is seeking a Product Owner based in Haddenham. In this hybrid role, you will manage the product backlog, work closely with engineering teams, and ensure successful product delivery within an Agile framework. The ideal candidate will have 3+ years in a similar role, strong backlog management skills, and experience in delivering SaaS or digital products. This role is crucial for driving the product vision and customer satisfaction through collaboration.
SimplyBiz PLC is seeking a Product Owner to spearhead product development and manage the product backlog. You will be responsible for translating user feedback into design features while collaborating with engineering. The ideal candidate will have over 3 years of experience in a similar role, strong Agile background, and skills in backlog management. This is a hybrid position, requiring office attendance three times a week in Central London, UK.
14/05/2026
Full time
SimplyBiz PLC is seeking a Product Owner to spearhead product development and manage the product backlog. You will be responsible for translating user feedback into design features while collaborating with engineering. The ideal candidate will have over 3 years of experience in a similar role, strong Agile background, and skills in backlog management. This is a hybrid position, requiring office attendance three times a week in Central London, UK.
Product Owner Department: Product Employment Type: Permanent - Full Time Location: London Reporting To: Business Analysis & User Experience Manager Description We're growing our Product team! Role Overview: As a Product Owner, you will be responsible for driving the conceptual design of our products through the application of design thinking principles and incorporating user feedback. You will be an active advocate of the product, demonstrating the ability to pre-empt the next requirements and ensure that all requirements work within the product vision and objectives. Your role will involve empathising with users, defining and prioritising customer and business needs, and managing the product backlog to ensure the development team delivers innovative and valuable solutions. What you'll do Serving as the primary liaison between stakeholders and the development team you will translate business insights and user feedback into actionable design features and ensuring successful product delivery within an Agile SDLC framework. Own the delivery of product increments Own the product backlog for your product or area, ensuring it is well structured, prioritised and ready for delivery. Drive the product design, collaborating closely with the Product Manager and/or Product Director to create customer centric product features which meet user needs and business goals. Ensure that delivery is broken down into appropriately sized increments and releases, balancing speed, quality and risk. Act as the day to day decision maker for scope, trade offs and sequencing during delivery. Work closely with engineering teams Partner with developers, QA and business analysts to ensure a shared understanding of what is being built and why. Ensure acceptance criteria are clear, outcomes are understood and customer needs are correctly represented. Support planning, refinement and review activities, keeping delivery focused and unblocked. Champion good agile practices and continuous improvement within the team. Ensure customer and business needs are met Stay informed about customer needs and Jobs to be Done (JTBD), competitor offerings, and customer feedback to ensure the product remains competitive and relevant Represent customer needs in delivery discussions, ensuring solutions solve real problems rather than just delivering features. Validate that completed work meets agreed outcomes and quality standards before release. Support effective collaboration Act as the key link between product, engineering and delivery adjacent teams. Provide clear updates on delivery progress, risks and dependencies. Contribute to retrospectives and improvement initiatives to strengthen delivery effectiveness over time. What you'll need to succeed: We're looking for Product Owners who are passionate about delivery excellence and who enjoy working closely with engineering teams to turn priorities into reality. Essential requirements: 3+ years' experience working as a Product Owner (or in a closely related delivery role) in an agile environment. Strong backlog management skills, including writing clear user stories, acceptance criteria and managing priorities. Experience working closely with developers, QA and business analysts Experience delivering SaaS or digital products. Your approach to work: A pragmatic, outcome focused mindset, with the ability to make day to day decisions that keep delivery moving. Strong communication skills, with the confidence to challenge, clarify and align across disciplines. Comfortable in a fast paced, Agile environment managing multiple tasks/projects simultaneously Important to know: Location: This is a hybrid role where you'll work in the office with colleagues 3 times each week. Our office is based in Central London. Right to Work: Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.
14/05/2026
Full time
Product Owner Department: Product Employment Type: Permanent - Full Time Location: London Reporting To: Business Analysis & User Experience Manager Description We're growing our Product team! Role Overview: As a Product Owner, you will be responsible for driving the conceptual design of our products through the application of design thinking principles and incorporating user feedback. You will be an active advocate of the product, demonstrating the ability to pre-empt the next requirements and ensure that all requirements work within the product vision and objectives. Your role will involve empathising with users, defining and prioritising customer and business needs, and managing the product backlog to ensure the development team delivers innovative and valuable solutions. What you'll do Serving as the primary liaison between stakeholders and the development team you will translate business insights and user feedback into actionable design features and ensuring successful product delivery within an Agile SDLC framework. Own the delivery of product increments Own the product backlog for your product or area, ensuring it is well structured, prioritised and ready for delivery. Drive the product design, collaborating closely with the Product Manager and/or Product Director to create customer centric product features which meet user needs and business goals. Ensure that delivery is broken down into appropriately sized increments and releases, balancing speed, quality and risk. Act as the day to day decision maker for scope, trade offs and sequencing during delivery. Work closely with engineering teams Partner with developers, QA and business analysts to ensure a shared understanding of what is being built and why. Ensure acceptance criteria are clear, outcomes are understood and customer needs are correctly represented. Support planning, refinement and review activities, keeping delivery focused and unblocked. Champion good agile practices and continuous improvement within the team. Ensure customer and business needs are met Stay informed about customer needs and Jobs to be Done (JTBD), competitor offerings, and customer feedback to ensure the product remains competitive and relevant Represent customer needs in delivery discussions, ensuring solutions solve real problems rather than just delivering features. Validate that completed work meets agreed outcomes and quality standards before release. Support effective collaboration Act as the key link between product, engineering and delivery adjacent teams. Provide clear updates on delivery progress, risks and dependencies. Contribute to retrospectives and improvement initiatives to strengthen delivery effectiveness over time. What you'll need to succeed: We're looking for Product Owners who are passionate about delivery excellence and who enjoy working closely with engineering teams to turn priorities into reality. Essential requirements: 3+ years' experience working as a Product Owner (or in a closely related delivery role) in an agile environment. Strong backlog management skills, including writing clear user stories, acceptance criteria and managing priorities. Experience working closely with developers, QA and business analysts Experience delivering SaaS or digital products. Your approach to work: A pragmatic, outcome focused mindset, with the ability to make day to day decisions that keep delivery moving. Strong communication skills, with the confidence to challenge, clarify and align across disciplines. Comfortable in a fast paced, Agile environment managing multiple tasks/projects simultaneously Important to know: Location: This is a hybrid role where you'll work in the office with colleagues 3 times each week. Our office is based in Central London. Right to Work: Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.
Senior Software Engineer Department: Technology Employment Type: Permanent - Full Time Location: London Reporting To: David Stevenson Description We are looking for a Senior Software Engineer to join our engineering team and take a lead role in designing, building, and evolving our online systems and services. You will work closely with the product team to translate ideas and rapid prototypes into well-considered technical plans, then drive your team to deliver and iterate at pace. This is a hands on role with real influence. You will architect scalable APIs and services, make pragmatic decisions about data storage, mentor the engineers around you, and play a key part in shaping our engineering culture. What you'll do Design, build, and maintain highly scalable web services, APIs, and backend systems that handle real world production load with reliability and performance. Collaborate directly with the product team to evaluate ideas and rapid prototypes, proposing clear technical plans that balance ambition with pragmatism. Lead and drive the engineering team through delivery, from sprint planning and technical design through to deployment and post release iteration. Architect and review solutions across the full stack, ensuring consistency in patterns, quality, and long term maintainability. Define and uphold engineering standards including code review, testing strategy, CI/CD pipelines, and observability practices. Partner with product on rapid iteration cycles, keeping feedback loops short, reducing time to learn, and enabling the team to move with confidence. Proactively identify and address technical debt, performance bottlenecks, and reliability risks before they become problems. Contribute to architectural decisions and be a meaningful voice in engineering wide discussions around direction, tooling, and process. Act as an escalation point for complex technical problems, providing clear thinking and solutions under pressure. Champion a culture of psychological safety, continuous learning, and high engineering craft within the team. What you'll need to succeed: Essential requirements: Significant hands on experience building and operating highly scalable online systems and services in production environments. Strong proficiency in designing and building RESTful APIs and microservices architectures - with a deep understanding of trade offs in distributed systems. Solid experience with multiple data storage paradigms: relational databases (e.g. PostgreSQL, MySQL), NoSQL (e.g. MongoDB, DynamoDB, Redis), and the patterns that make each appropriate in context. Proven ability to coach and mentor junior and mid level engineers through code reviews, pair programming, technical guidance, and constructive feedback. Experience translating ambiguous product ideas or early prototypes into structured technical proposals and delivery plans. Demonstrated ability to lead an engineering team through a full delivery cycle - from technical design to release - while maintaining momentum and quality. Strong understanding of software engineering fundamentals: algorithms, data structures, system design, testing, and operational concerns (monitoring, alerting, incident response). Experience working in an agile, fast paced product environment with short iteration cycles and close collaboration between engineering and product teams. Excellent communication skills - able to articulate complex technical concepts clearly to both technical and non technical stakeholders. A track record of pragmatic, outcome focused decision making: balancing technical rigour with the need to ship and learn quickly. Desirable requirements: Experience designing and consuming gRPC services, including protocol buffer schema design and inter service communication patterns. Familiarity with event driven architectures and messaging systems (e.g. Kafka, RabbitMQ, SQS/SNS). Experience with cloud native infrastructure and deployment patterns (AWS, GCP, or Azure) including serverless, containerisation (Docker/Kubernetes), and infrastructure as code. Exposure to stream processing or real time data pipelines at scale. Experience with search technologies such as Elasticsearch or OpenSearch. Prior experience in a tech lead or staff engineer capacity, with involvement in cross team technical decision making. Contribution to open source projects, engineering blog posts, or technical community involvement. Familiarity with product analytics, feature flagging, and experimentation frameworks to support rapid iteration. Experience with security by design principles and implementing secure coding practices across distributed systems. Your approach to work: The role is as much about how you work as what you build. We are looking for someone who: Takes ownership without being territorial - you share knowledge freely, help others grow, and care about the success of the whole team, not just your own work. Brings clarity to ambiguity - you are comfortable working from a rough idea or prototype and can structure thinking around it without needing a perfect brief. Balances speed and quality deliberately - you understand when to move fast and when to slow down, and can make that call with sound reasoning. Communicates proactively - you surface blockers early, share progress openly, and keep both your engineering team and product stakeholders informed without being prompted. Important to know: Location: We have offices in various UK locations and you will be expected to attend one of the offices at least 3 days per week: Farringdon, London Cwmbran, Wales Haddenham Right to Work: Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.
10/05/2026
Full time
Senior Software Engineer Department: Technology Employment Type: Permanent - Full Time Location: London Reporting To: David Stevenson Description We are looking for a Senior Software Engineer to join our engineering team and take a lead role in designing, building, and evolving our online systems and services. You will work closely with the product team to translate ideas and rapid prototypes into well-considered technical plans, then drive your team to deliver and iterate at pace. This is a hands on role with real influence. You will architect scalable APIs and services, make pragmatic decisions about data storage, mentor the engineers around you, and play a key part in shaping our engineering culture. What you'll do Design, build, and maintain highly scalable web services, APIs, and backend systems that handle real world production load with reliability and performance. Collaborate directly with the product team to evaluate ideas and rapid prototypes, proposing clear technical plans that balance ambition with pragmatism. Lead and drive the engineering team through delivery, from sprint planning and technical design through to deployment and post release iteration. Architect and review solutions across the full stack, ensuring consistency in patterns, quality, and long term maintainability. Define and uphold engineering standards including code review, testing strategy, CI/CD pipelines, and observability practices. Partner with product on rapid iteration cycles, keeping feedback loops short, reducing time to learn, and enabling the team to move with confidence. Proactively identify and address technical debt, performance bottlenecks, and reliability risks before they become problems. Contribute to architectural decisions and be a meaningful voice in engineering wide discussions around direction, tooling, and process. Act as an escalation point for complex technical problems, providing clear thinking and solutions under pressure. Champion a culture of psychological safety, continuous learning, and high engineering craft within the team. What you'll need to succeed: Essential requirements: Significant hands on experience building and operating highly scalable online systems and services in production environments. Strong proficiency in designing and building RESTful APIs and microservices architectures - with a deep understanding of trade offs in distributed systems. Solid experience with multiple data storage paradigms: relational databases (e.g. PostgreSQL, MySQL), NoSQL (e.g. MongoDB, DynamoDB, Redis), and the patterns that make each appropriate in context. Proven ability to coach and mentor junior and mid level engineers through code reviews, pair programming, technical guidance, and constructive feedback. Experience translating ambiguous product ideas or early prototypes into structured technical proposals and delivery plans. Demonstrated ability to lead an engineering team through a full delivery cycle - from technical design to release - while maintaining momentum and quality. Strong understanding of software engineering fundamentals: algorithms, data structures, system design, testing, and operational concerns (monitoring, alerting, incident response). Experience working in an agile, fast paced product environment with short iteration cycles and close collaboration between engineering and product teams. Excellent communication skills - able to articulate complex technical concepts clearly to both technical and non technical stakeholders. A track record of pragmatic, outcome focused decision making: balancing technical rigour with the need to ship and learn quickly. Desirable requirements: Experience designing and consuming gRPC services, including protocol buffer schema design and inter service communication patterns. Familiarity with event driven architectures and messaging systems (e.g. Kafka, RabbitMQ, SQS/SNS). Experience with cloud native infrastructure and deployment patterns (AWS, GCP, or Azure) including serverless, containerisation (Docker/Kubernetes), and infrastructure as code. Exposure to stream processing or real time data pipelines at scale. Experience with search technologies such as Elasticsearch or OpenSearch. Prior experience in a tech lead or staff engineer capacity, with involvement in cross team technical decision making. Contribution to open source projects, engineering blog posts, or technical community involvement. Familiarity with product analytics, feature flagging, and experimentation frameworks to support rapid iteration. Experience with security by design principles and implementing secure coding practices across distributed systems. Your approach to work: The role is as much about how you work as what you build. We are looking for someone who: Takes ownership without being territorial - you share knowledge freely, help others grow, and care about the success of the whole team, not just your own work. Brings clarity to ambiguity - you are comfortable working from a rough idea or prototype and can structure thinking around it without needing a perfect brief. Balances speed and quality deliberately - you understand when to move fast and when to slow down, and can make that call with sound reasoning. Communicates proactively - you surface blockers early, share progress openly, and keep both your engineering team and product stakeholders informed without being prompted. Important to know: Location: We have offices in various UK locations and you will be expected to attend one of the offices at least 3 days per week: Farringdon, London Cwmbran, Wales Haddenham Right to Work: Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.