Overview Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role As a Senior DevOps Engineer, you will lead the charge in architecting, implementing, and optimising our software delivery pipelines, significantly enhancing the reliability, performance, and scalability of our systems. You will spearhead continuous improvement initiatives across our entire software development lifecycle, leveraging your extensive experience to drive innovation and efficiency. Your role will involve strategic collaboration with cross-functional teams, including developers, system administrators, and QA, to revolutionise our development processes and ensure the seamless delivery of high-quality software at scale. You will take a leadership role in the analysis, deployment, and maintenance of mission-critical systems for both corporate and production environments. Working closely with the Head of Technology, IT, and Development teams, you'll be instrumental in redefining and streamlining our full development lifecycle, setting new standards for operational excellence. This is an exceptional opportunity to work in a dynamic, cutting-edge environment where you'll have the autonomy to implement state-of-the-art tools and technologies, spearhead large-scale automation initiatives, and drive transformative efficiencies across the organisation. Key Responsibilities Architect and implement advanced Infrastructure as Code solutions, leveraging and expanding beyond tools such as Terraform and Ansible, to create robust, scalable, and self-healing infrastructure Lead the design and implementation of best-in-class solutions, both for new initiatives and existing systems, ensuring adherence to industry best practices and driving innovation Architect, maintain, and continuously improve our microservices architecture running on Kubernetes in GCP, focusing on scalability, resilience, and observability Drive cost optimisation initiatives across our infrastructure, implementing sophisticated monitoring and analysis tools to identify and execute on efficiency opportunities Design and implement advanced monitoring and alerting systems to ensure maximum uptime, security, and integrity of critical systems, including leading the out-of-hours support strategy Collaborate with engineering teams to translate complex business requirements into scalable infrastructure solutions, providing technical leadership and mentorship Champion DevOps best practices and cultural transformation across the organisation, fostering a culture of continuous improvement and knowledge sharing Lead by example in an Agile environment, driving the adoption of DevOps methodologies and tools across teams Conduct regular architecture reviews and lead initiatives to adopt emerging technologies that can benefit the organisation Qualifications Proven experience as a Senior DevOps Engineer or in a similar role Extensive knowledge of Google Cloud Platform (GCP) products, services, implementation, right-sizing, and methodology A high level of Linux knowledge and experience. Knowledge of configuration management with automation using Ansible Ability to work with, devise, and implement CI/CD pipelines and practices inc. Github Strong knowledge of Nginx, PHP, MySQL Knowledge of NoSQL solutions, RabbitMQ, SOLR, Couchbase Transformational experience supporting migration from monolithic architecture to services over a longer-term view (commercial mindset is an absolute must) Cost-savings / Cost awareness mindset, to always strive for the most-efficient operations Architectural design support / working to re-engineer and reduce operational costs understanding of Networking concepts and solutions A strong determination and work ethic to find the best solution to any problem. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. A solid understanding of networking concepts, technologies, and protocols (TCP/IP, IPSec, HTTPS, DNS) Information Security Risk assessment and analysis of Google Cloud native services and related services Analysing potential attack vectors and understanding the impact of security threats on the system. Newrelic experience including investigation of logs and diagnosing root-cause issues Awareness of relevant industry regulations (e.g., GDPR) Salary and Benefits The salary on offer for this role is upto £90,000 depending on experience. We also offer the following benefits: CompanyEquity- In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build. 25 days annual leave + Bank Holidays 1 extra day off for your Birthday Employee Assistance Programme Perks at Work benefit platform Opportunities for career development and progression This role is UK remote or if you prefer coming into the office can be Hybrid if you live near our Manchester or Bournemouth's offices. Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.
05/02/2026
Full time
Overview Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role As a Senior DevOps Engineer, you will lead the charge in architecting, implementing, and optimising our software delivery pipelines, significantly enhancing the reliability, performance, and scalability of our systems. You will spearhead continuous improvement initiatives across our entire software development lifecycle, leveraging your extensive experience to drive innovation and efficiency. Your role will involve strategic collaboration with cross-functional teams, including developers, system administrators, and QA, to revolutionise our development processes and ensure the seamless delivery of high-quality software at scale. You will take a leadership role in the analysis, deployment, and maintenance of mission-critical systems for both corporate and production environments. Working closely with the Head of Technology, IT, and Development teams, you'll be instrumental in redefining and streamlining our full development lifecycle, setting new standards for operational excellence. This is an exceptional opportunity to work in a dynamic, cutting-edge environment where you'll have the autonomy to implement state-of-the-art tools and technologies, spearhead large-scale automation initiatives, and drive transformative efficiencies across the organisation. Key Responsibilities Architect and implement advanced Infrastructure as Code solutions, leveraging and expanding beyond tools such as Terraform and Ansible, to create robust, scalable, and self-healing infrastructure Lead the design and implementation of best-in-class solutions, both for new initiatives and existing systems, ensuring adherence to industry best practices and driving innovation Architect, maintain, and continuously improve our microservices architecture running on Kubernetes in GCP, focusing on scalability, resilience, and observability Drive cost optimisation initiatives across our infrastructure, implementing sophisticated monitoring and analysis tools to identify and execute on efficiency opportunities Design and implement advanced monitoring and alerting systems to ensure maximum uptime, security, and integrity of critical systems, including leading the out-of-hours support strategy Collaborate with engineering teams to translate complex business requirements into scalable infrastructure solutions, providing technical leadership and mentorship Champion DevOps best practices and cultural transformation across the organisation, fostering a culture of continuous improvement and knowledge sharing Lead by example in an Agile environment, driving the adoption of DevOps methodologies and tools across teams Conduct regular architecture reviews and lead initiatives to adopt emerging technologies that can benefit the organisation Qualifications Proven experience as a Senior DevOps Engineer or in a similar role Extensive knowledge of Google Cloud Platform (GCP) products, services, implementation, right-sizing, and methodology A high level of Linux knowledge and experience. Knowledge of configuration management with automation using Ansible Ability to work with, devise, and implement CI/CD pipelines and practices inc. Github Strong knowledge of Nginx, PHP, MySQL Knowledge of NoSQL solutions, RabbitMQ, SOLR, Couchbase Transformational experience supporting migration from monolithic architecture to services over a longer-term view (commercial mindset is an absolute must) Cost-savings / Cost awareness mindset, to always strive for the most-efficient operations Architectural design support / working to re-engineer and reduce operational costs understanding of Networking concepts and solutions A strong determination and work ethic to find the best solution to any problem. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. A solid understanding of networking concepts, technologies, and protocols (TCP/IP, IPSec, HTTPS, DNS) Information Security Risk assessment and analysis of Google Cloud native services and related services Analysing potential attack vectors and understanding the impact of security threats on the system. Newrelic experience including investigation of logs and diagnosing root-cause issues Awareness of relevant industry regulations (e.g., GDPR) Salary and Benefits The salary on offer for this role is upto £90,000 depending on experience. We also offer the following benefits: CompanyEquity- In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build. 25 days annual leave + Bank Holidays 1 extra day off for your Birthday Employee Assistance Programme Perks at Work benefit platform Opportunities for career development and progression This role is UK remote or if you prefer coming into the office can be Hybrid if you live near our Manchester or Bournemouth's offices. Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.
Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role As our Data Engineer your key responsibilities will be: Developing and scaling analytics infrastructure using modern cloud-based data platforms and tooling (e.g., BigQuery, Snowflake, Databricks). Designing, building, and maintaining robust data pipelines to ingest, transform, and deliver high-quality datasets for analytics and reporting. Owning and evolving the semantic data layer, ensuring clean, well-modelled datasets that enable self-serve analytics and data-driven decision making. Collaborating with the analytics team, business stakeholders and tech function to understand requirements and deliver scalable solutions that meet business needs. Driving innovation through the development of data products, such as feature stores, automated insights, or ML-ready datasets. Experience & Qualifications Hands-on experience developing and managing cloud based data warehousing environments (Bigquery, Snowflake, Redshift) Designing, building, and maintaining robust data pipelines to ingest, transform, and deliver high-quality datasets for analytics and reporting. Practical experience across GCP services including IAM, Cloud Run, Artifact Registry, GKE, BigQuery, GCS, and Datastream. An understanding of data orchestration (Apache Airflow or other DAG focussed solutions preferable). Collaborating with the analytics team, business stakeholders and tech function to understand requirements and deliver scalable solutions that meet business needs. Knowledge of ETL / ELT tools and software such as Airbyte, Fivetran or Stitch. Experience with containerisation and orchestration (Docker, Kubernetes, Helm). Understanding of CI/CD workflows (GitLab CI/CD, GitHub Actions preferred). The ability to create and manage multiple data pipelines through development environments into production. Understanding of data orchestration (Apache Airflow or other DAG focussed solutions preferable). A basic understanding of MySQL architecture for application data replication purposes. Experience of extracting data from REST APIs and ingesting into warehousing environments. Basic GCP administration experience (Terraform working knowledge would be a nice to have). Coding Skills: SQL - ability to write complex SQL queries for normalisation data model creation. Python - working experience with the ability to write DAGs to extract data from third party APIs. Experience with version control using Git. An understanding of Data security, cloud permission management and data storage (cross country/continent). Benefits Company equity - In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build. 25 days annual leave + Bank Holidays 1 extra day off for your Birthday Employee Assistance Programme Perks at Work benefit platform Opportunities for career development and progression The role is a remote role but if you would likea more Hybrid work pattern we have offices in Bournemouth and Manchester. Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.
03/02/2026
Full time
Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role As our Data Engineer your key responsibilities will be: Developing and scaling analytics infrastructure using modern cloud-based data platforms and tooling (e.g., BigQuery, Snowflake, Databricks). Designing, building, and maintaining robust data pipelines to ingest, transform, and deliver high-quality datasets for analytics and reporting. Owning and evolving the semantic data layer, ensuring clean, well-modelled datasets that enable self-serve analytics and data-driven decision making. Collaborating with the analytics team, business stakeholders and tech function to understand requirements and deliver scalable solutions that meet business needs. Driving innovation through the development of data products, such as feature stores, automated insights, or ML-ready datasets. Experience & Qualifications Hands-on experience developing and managing cloud based data warehousing environments (Bigquery, Snowflake, Redshift) Designing, building, and maintaining robust data pipelines to ingest, transform, and deliver high-quality datasets for analytics and reporting. Practical experience across GCP services including IAM, Cloud Run, Artifact Registry, GKE, BigQuery, GCS, and Datastream. An understanding of data orchestration (Apache Airflow or other DAG focussed solutions preferable). Collaborating with the analytics team, business stakeholders and tech function to understand requirements and deliver scalable solutions that meet business needs. Knowledge of ETL / ELT tools and software such as Airbyte, Fivetran or Stitch. Experience with containerisation and orchestration (Docker, Kubernetes, Helm). Understanding of CI/CD workflows (GitLab CI/CD, GitHub Actions preferred). The ability to create and manage multiple data pipelines through development environments into production. Understanding of data orchestration (Apache Airflow or other DAG focussed solutions preferable). A basic understanding of MySQL architecture for application data replication purposes. Experience of extracting data from REST APIs and ingesting into warehousing environments. Basic GCP administration experience (Terraform working knowledge would be a nice to have). Coding Skills: SQL - ability to write complex SQL queries for normalisation data model creation. Python - working experience with the ability to write DAGs to extract data from third party APIs. Experience with version control using Git. An understanding of Data security, cloud permission management and data storage (cross country/continent). Benefits Company equity - In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build. 25 days annual leave + Bank Holidays 1 extra day off for your Birthday Employee Assistance Programme Perks at Work benefit platform Opportunities for career development and progression The role is a remote role but if you would likea more Hybrid work pattern we have offices in Bournemouth and Manchester. Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.
A growing online marketplace is seeking a Data Engineer to develop cloud-based data infrastructure. The role includes designing and scaling analytics pipelines, collaborating with stakeholders, and driving innovation in data products. Ideal candidates will have hands-on experience with cloud data warehousing and strong coding skills in SQL and Python. Benefits include company equity, generous annual leave, and opportunities for career advancement, with options for remote or hybrid work in Manchester.
03/02/2026
Full time
A growing online marketplace is seeking a Data Engineer to develop cloud-based data infrastructure. The role includes designing and scaling analytics pipelines, collaborating with stakeholders, and driving innovation in data products. Ideal candidates will have hands-on experience with cloud data warehousing and strong coding skills in SQL and Python. Benefits include company equity, generous annual leave, and opportunities for career advancement, with options for remote or hybrid work in Manchester.
About the Role As our Data Scientist you will help drive growth and improve customer experience across OnBuy. You'll work closely with Product, Marketing and Seller teams to turn data into actionable insight, build predictive models, and influence commercial decisions at pace. Key responsibilities Develop and deploy data science models to support key e-commerce use cases such as purchase propensities, marketing attribution, product recommendations and retention risk. Design and analyse experiments (A/B and multivariate testing) to evaluate product and marketing initiatives. Translate business problems into clear analytical questions and data science solutions. Continuously monitor model performance and refine models to ensure accuracy and effectiveness in an evolving ecomms landscape. Communicate insights and model outputs clearly to non-technical stakeholders, influencing decisions. Collaborate with Data Engineers to ensure models are scalable, reliable and production ready. Work closely with analysts to share best practice, provide coaching, and raise overall data capability across the team. Support a culture of data-driven decision making across the business. Essential Degree in Data Science, Mathematics, Computer Science, or a related field. Over 2 years data science experience ideally within an e-commerce, digital, or consumer business. Ability to focus on business outcomes (growth, conversion, retention, margin), not just models - and to prioritise work that delivers measurable impact. Confident in statistics, experimentation, and machine learning, with the judgement to choose the right level of complexity for the problem. Understanding of customer behaviour, funnels, marketing channels, pricing, and product performance - or the ability to learn this quickly. Can explain complex concepts simply, tell a compelling data story, and influence non-technical stakeholders to act on insights. Works effectively with analysts, data engineers, product and marketing teams - building reusable, well-documented, scalable solutions and raising capability around them. Excellent Python skills (e.g. pandas, numpy, scikit-learn, statsmodels) and strong expertise in SQL for data querying, manipulation, and transformation. Familiarity with cloud data platforms (e.g. BigQuery, Snowflake, Databricks). Excellent problem-solving skills. Desirable Experience with recommendation systems, forecasting, or causal inference. Knowledge of marketing analytics (attribution, MMM, incrementality). Experience with data visualisation tools. Understanding of version control using Git. Salary and Benefits The salary on offer for this role is £65000- £70000 depending on experience. We also offer the following benefits: Company equity - In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build. 25 days annual leave + Bank Holidays 1 extra day off for your Birthday Employee Assistance Programme Perks at Work benefit platform Opportunities for career development and progression Plus in return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build. Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.
02/02/2026
Full time
About the Role As our Data Scientist you will help drive growth and improve customer experience across OnBuy. You'll work closely with Product, Marketing and Seller teams to turn data into actionable insight, build predictive models, and influence commercial decisions at pace. Key responsibilities Develop and deploy data science models to support key e-commerce use cases such as purchase propensities, marketing attribution, product recommendations and retention risk. Design and analyse experiments (A/B and multivariate testing) to evaluate product and marketing initiatives. Translate business problems into clear analytical questions and data science solutions. Continuously monitor model performance and refine models to ensure accuracy and effectiveness in an evolving ecomms landscape. Communicate insights and model outputs clearly to non-technical stakeholders, influencing decisions. Collaborate with Data Engineers to ensure models are scalable, reliable and production ready. Work closely with analysts to share best practice, provide coaching, and raise overall data capability across the team. Support a culture of data-driven decision making across the business. Essential Degree in Data Science, Mathematics, Computer Science, or a related field. Over 2 years data science experience ideally within an e-commerce, digital, or consumer business. Ability to focus on business outcomes (growth, conversion, retention, margin), not just models - and to prioritise work that delivers measurable impact. Confident in statistics, experimentation, and machine learning, with the judgement to choose the right level of complexity for the problem. Understanding of customer behaviour, funnels, marketing channels, pricing, and product performance - or the ability to learn this quickly. Can explain complex concepts simply, tell a compelling data story, and influence non-technical stakeholders to act on insights. Works effectively with analysts, data engineers, product and marketing teams - building reusable, well-documented, scalable solutions and raising capability around them. Excellent Python skills (e.g. pandas, numpy, scikit-learn, statsmodels) and strong expertise in SQL for data querying, manipulation, and transformation. Familiarity with cloud data platforms (e.g. BigQuery, Snowflake, Databricks). Excellent problem-solving skills. Desirable Experience with recommendation systems, forecasting, or causal inference. Knowledge of marketing analytics (attribution, MMM, incrementality). Experience with data visualisation tools. Understanding of version control using Git. Salary and Benefits The salary on offer for this role is £65000- £70000 depending on experience. We also offer the following benefits: Company equity - In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build. 25 days annual leave + Bank Holidays 1 extra day off for your Birthday Employee Assistance Programme Perks at Work benefit platform Opportunities for career development and progression Plus in return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build. Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.
A leading e-commerce company seeks a Data Scientist to improve growth and customer experience. You'll develop data science models for e-commerce use cases, analyze experiments, and communicate insights. Required qualifications include a degree in Data Science, over 2 years of relevant experience, and expertise in Python and SQL. The role offers a competitive salary (£65,000-£70,000), company equity, and benefits including 25 days annual leave plus bank holidays.
02/02/2026
Full time
A leading e-commerce company seeks a Data Scientist to improve growth and customer experience. You'll develop data science models for e-commerce use cases, analyze experiments, and communicate insights. Required qualifications include a degree in Data Science, over 2 years of relevant experience, and expertise in Python and SQL. The role offers a competitive salary (£65,000-£70,000), company equity, and benefits including 25 days annual leave plus bank holidays.