Technical Project / Deployment Manager - Audience Measurement London, England, United Kingdom and 1 more (Hybrid) Job Description Technical Project / Deployment Manager - Audience Measurement Make your mark at Ipsos Ipsos's Audience measurement team is recruiting an experienced technology deployment manager. In this critical role, you will bridge the gap between our core engineering/data science teams and our market stakeholders. You will be responsible for orchestrating the end-to-end technical delivery, understanding the dependencies between Data Science and Engineering, and ensuring the solution is successfully transitioned into a live market environment. This role sits in Ipsos's Audience Measurement business unit that leads the UK market in media audience understanding. They measure engagement across various media, providing data on audience reach and composition to advertisers and content owners. Their technical project managers ensure the success of complex technology deliveries, managing the deployment of engineering and data science products. What is in it for you? This is a fantastic opportunity for someone that enjoys a fast-paced environment. The role offers you: The chance to create and own the master delivery plan. Work and own the "Blueprint" for deployment-taking our core IP (Applications and Modelling frameworks) and orchestrating their delivery into a live market environment, ensuring the solution is robust, compliant, and ready for "Business as Usual" (BAU) operations. Empowerment to set and drive the pace of delivery Operate across multiple Agile teams, connecting the development backlogs to the client deadline. The role You will be working on the "Blueprint" for deployment-taking our core IP (Applications and Modelling frameworks) and orchestrating their delivery into a live market environment, ensuring the solution is robust, compliant, and ready for "Business as Usual" (BAU) operations. You will operate across multiple Agile teams, connecting the development backlogs to the client deadline. Your Day to Day Integrated Planning: Create and own the master delivery plan. Project Governance: Establish and maintain standard project controls, including RAID logs (Risks, Assumptions, Issues, Dependencies), resource forecasts, and budget tracking. Schedule Management: Ensure client deadlines are reflected in the planning for the technology teams and managing scope and acceptance with the client. Resource Coordination: Work with Technical Leads to ensure the right skills are available at the right time. You must forecast resource requirements to prevent bottlenecks during critical integration phases. Deployment Blueprint: Create and maintain the standard "Deployment Blueprint"-the playbook for how our technology is rolled out, configured, and localized for new markets or clients. Quality & UAT: Oversee the User Acceptance Testing (UAT) phase. You are responsible for ensuring the deployed solution meets the technical specifications and Service Level Agreements (SLAs) before client handover. Stakeholder Reporting: Provide factual, transparent status reports to stakeholders. You must translate technical progress and blockers into clear business implications (time, cost, quality). Vendor & Third-Party Management: Where the solution involves external data providers or third-party technology, you act as the primary operational point of contact, ensuring their delivery aligns with the master plan. About you: Technical Project and Deployment Management:Significant experience managing complex software or data projects. You must demonstrate a track record of taking systems from development through to live market deployment. Domain Knowledge:Experience working with Data Science, Analytics and complex Data Engineering teams is essential. Methodology: Expertise in both Agile (Scrum/Kanban) and Waterfall methodologies. You must be able to wrap Agile development cycles in a structured project governance framework suitable for fixed-deadline contracts. Tooling:Advanced proficiency in project management tools (e.g. Jira, Confluence, Smartsheet). Analytical thinking Resilience, flexibility and agility Creative thinking Motivation and self-awareness Empathy and active listening Curiosity and lifelong learning Service orientation and customer service Talent Management Leadership and social influence We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process.
27/07/2026
Full time
Technical Project / Deployment Manager - Audience Measurement London, England, United Kingdom and 1 more (Hybrid) Job Description Technical Project / Deployment Manager - Audience Measurement Make your mark at Ipsos Ipsos's Audience measurement team is recruiting an experienced technology deployment manager. In this critical role, you will bridge the gap between our core engineering/data science teams and our market stakeholders. You will be responsible for orchestrating the end-to-end technical delivery, understanding the dependencies between Data Science and Engineering, and ensuring the solution is successfully transitioned into a live market environment. This role sits in Ipsos's Audience Measurement business unit that leads the UK market in media audience understanding. They measure engagement across various media, providing data on audience reach and composition to advertisers and content owners. Their technical project managers ensure the success of complex technology deliveries, managing the deployment of engineering and data science products. What is in it for you? This is a fantastic opportunity for someone that enjoys a fast-paced environment. The role offers you: The chance to create and own the master delivery plan. Work and own the "Blueprint" for deployment-taking our core IP (Applications and Modelling frameworks) and orchestrating their delivery into a live market environment, ensuring the solution is robust, compliant, and ready for "Business as Usual" (BAU) operations. Empowerment to set and drive the pace of delivery Operate across multiple Agile teams, connecting the development backlogs to the client deadline. The role You will be working on the "Blueprint" for deployment-taking our core IP (Applications and Modelling frameworks) and orchestrating their delivery into a live market environment, ensuring the solution is robust, compliant, and ready for "Business as Usual" (BAU) operations. You will operate across multiple Agile teams, connecting the development backlogs to the client deadline. Your Day to Day Integrated Planning: Create and own the master delivery plan. Project Governance: Establish and maintain standard project controls, including RAID logs (Risks, Assumptions, Issues, Dependencies), resource forecasts, and budget tracking. Schedule Management: Ensure client deadlines are reflected in the planning for the technology teams and managing scope and acceptance with the client. Resource Coordination: Work with Technical Leads to ensure the right skills are available at the right time. You must forecast resource requirements to prevent bottlenecks during critical integration phases. Deployment Blueprint: Create and maintain the standard "Deployment Blueprint"-the playbook for how our technology is rolled out, configured, and localized for new markets or clients. Quality & UAT: Oversee the User Acceptance Testing (UAT) phase. You are responsible for ensuring the deployed solution meets the technical specifications and Service Level Agreements (SLAs) before client handover. Stakeholder Reporting: Provide factual, transparent status reports to stakeholders. You must translate technical progress and blockers into clear business implications (time, cost, quality). Vendor & Third-Party Management: Where the solution involves external data providers or third-party technology, you act as the primary operational point of contact, ensuring their delivery aligns with the master plan. About you: Technical Project and Deployment Management:Significant experience managing complex software or data projects. You must demonstrate a track record of taking systems from development through to live market deployment. Domain Knowledge:Experience working with Data Science, Analytics and complex Data Engineering teams is essential. Methodology: Expertise in both Agile (Scrum/Kanban) and Waterfall methodologies. You must be able to wrap Agile development cycles in a structured project governance framework suitable for fixed-deadline contracts. Tooling:Advanced proficiency in project management tools (e.g. Jira, Confluence, Smartsheet). Analytical thinking Resilience, flexibility and agility Creative thinking Motivation and self-awareness Empathy and active listening Curiosity and lifelong learning Service orientation and customer service Talent Management Leadership and social influence We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process.
Client Growth Director - Public Sector Data Analytics London, England, United Kingdom (Hybrid) Job Description Ipsos is recruiting for a Client Growth Director with a proven track record in business development within the public sector space focused on market research data insights and analytics. This role will suit applicants with a deep understanding of public sector data dynamics, key stakeholders and an established network of contacts within central government. This role spans across two key service lines, Public Affairs and Ipsos Data Labs, which work together to deliver high quality evidence and data driven insights to public clients. What is in it for you? This opportunity provides you with a platform to: Drive Ipsos Data Labs growth by identifying and qualifying new business opportunities, creating and streamlining internal processes, and building a robust network within the public sector data space. Develop new concepts and craft compelling proposals and responses to RFPs while leveraging internal resources effectively to meet client needs. Guide internal capability development to enhance service offerings. Formulate bid strategy, aligning each bid with organizational goals and feasibility. Lead a cross functional team to compile and produce submission content, coordinating finance, legal, and technical departments. Responsibilities Opportunity Identification and Qualification: identify and assess new business opportunities within the public sector data space through detailed market research and analysis. Proposal Development: collaborate with internal networks to create comprehensive, competitive proposals and lead RFP responses aligned with client objectives and Ipsos Data Labs service offerings. Process Creation and Optimization: develop and implement internal processes that enhance efficiency and effectiveness in responding to opportunities. Networking: build and maintain a wide network of contacts across the public sector data space to facilitate business development activities and stay informed of market trends and needs. Service Line Mastery: develop an in depth understanding of Ipsos Data Labs service lines to enhance the quality and relevance of proposals and client pitches. Internal Capability Enhancement: advise on skill requirements and train internal teams to address emerging trends and client needs. Qualifications Business leadership skills. Proven track record in business development within the public sector focused on data services. Established network of contacts within the industry and specifically public sector central government. Stakeholder engagement: building and maintaining relationships with public sector clients, influencers, and decision makers. Deep understanding of public sector data dynamics and key stakeholders. Bid management experience, including opportunity identification, bid strategy formulation, team coordination, proposal writing, risk assessment and mitigation, budget management, and compliance assurance. Benefits We offer a comprehensive benefits package including 25 days annual leave, pension contribution, income protection and life assurance, health and wellbeing benefits, financial benefits, and professional development opportunities. Equality and Diversity We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We are proud members of the Disability Confident scheme, certified as Level 2 Disability Confident Employer, and dedicated to an accessible recruitment process.
13/07/2026
Full time
Client Growth Director - Public Sector Data Analytics London, England, United Kingdom (Hybrid) Job Description Ipsos is recruiting for a Client Growth Director with a proven track record in business development within the public sector space focused on market research data insights and analytics. This role will suit applicants with a deep understanding of public sector data dynamics, key stakeholders and an established network of contacts within central government. This role spans across two key service lines, Public Affairs and Ipsos Data Labs, which work together to deliver high quality evidence and data driven insights to public clients. What is in it for you? This opportunity provides you with a platform to: Drive Ipsos Data Labs growth by identifying and qualifying new business opportunities, creating and streamlining internal processes, and building a robust network within the public sector data space. Develop new concepts and craft compelling proposals and responses to RFPs while leveraging internal resources effectively to meet client needs. Guide internal capability development to enhance service offerings. Formulate bid strategy, aligning each bid with organizational goals and feasibility. Lead a cross functional team to compile and produce submission content, coordinating finance, legal, and technical departments. Responsibilities Opportunity Identification and Qualification: identify and assess new business opportunities within the public sector data space through detailed market research and analysis. Proposal Development: collaborate with internal networks to create comprehensive, competitive proposals and lead RFP responses aligned with client objectives and Ipsos Data Labs service offerings. Process Creation and Optimization: develop and implement internal processes that enhance efficiency and effectiveness in responding to opportunities. Networking: build and maintain a wide network of contacts across the public sector data space to facilitate business development activities and stay informed of market trends and needs. Service Line Mastery: develop an in depth understanding of Ipsos Data Labs service lines to enhance the quality and relevance of proposals and client pitches. Internal Capability Enhancement: advise on skill requirements and train internal teams to address emerging trends and client needs. Qualifications Business leadership skills. Proven track record in business development within the public sector focused on data services. Established network of contacts within the industry and specifically public sector central government. Stakeholder engagement: building and maintaining relationships with public sector clients, influencers, and decision makers. Deep understanding of public sector data dynamics and key stakeholders. Bid management experience, including opportunity identification, bid strategy formulation, team coordination, proposal writing, risk assessment and mitigation, budget management, and compliance assurance. Benefits We offer a comprehensive benefits package including 25 days annual leave, pension contribution, income protection and life assurance, health and wellbeing benefits, financial benefits, and professional development opportunities. Equality and Diversity We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We are proud members of the Disability Confident scheme, certified as Level 2 Disability Confident Employer, and dedicated to an accessible recruitment process.
Ipsos is recruiting a Data Engineer to evolve our Audience Measurement data platforms using cloud-native, serverless patterns. You will join a team focused on managed cloud services, cost-conscious design, and incremental improvement, working with internal teams to develop robust data pipelines and optimize storage on GCP. The role emphasizes serverless architectures, DataOps practices, and agile delivery, with collaboration across data scientists and engineers to productionise models and
11/07/2026
Full time
Ipsos is recruiting a Data Engineer to evolve our Audience Measurement data platforms using cloud-native, serverless patterns. You will join a team focused on managed cloud services, cost-conscious design, and incremental improvement, working with internal teams to develop robust data pipelines and optimize storage on GCP. The role emphasizes serverless architectures, DataOps practices, and agile delivery, with collaboration across data scientists and engineers to productionise models and
Ipsos is recruiting a Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with internal teams to Develop robust scalable data pipelines and optimise data storage solutions on GCP. What is in it for you? This is a fantastic opportunity for a mid-career / level person to work ontechnologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Data Engineer, you will work in the team to guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Platform Operations: Develop robust scalable data pipelines and optimise data storage solutions on GCP. Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use. Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop. Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities. Document pipelines and the platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement:Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery:Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction. Team Working / Stakeholder Engagement: Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non-technical audiences. Continuous Improvement: Foster a culture of incremental improvement. Vision and Strategy: Support the architectural as set out by the Lead Data Engineer. About you: To be successful in this role, your technical skills should be matched by a pragmatic approach. Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP). Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
11/07/2026
Full time
Ipsos is recruiting a Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with internal teams to Develop robust scalable data pipelines and optimise data storage solutions on GCP. What is in it for you? This is a fantastic opportunity for a mid-career / level person to work ontechnologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Data Engineer, you will work in the team to guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Platform Operations: Develop robust scalable data pipelines and optimise data storage solutions on GCP. Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use. Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop. Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities. Document pipelines and the platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement:Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery:Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction. Team Working / Stakeholder Engagement: Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non-technical audiences. Continuous Improvement: Foster a culture of incremental improvement. Vision and Strategy: Support the architectural as set out by the Lead Data Engineer. About you: To be successful in this role, your technical skills should be matched by a pragmatic approach. Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP). Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
Ipsos is recruiting a Data Engineer to advance our Audience Measurement data platforms with a serverless, cloud-first approach on GCP. You will join a team driving architecture, data pipelines, and data storage optimisations, working with internal teams to deploy scalable solutions. The role emphasizes modern Python, event-driven patterns, and collaboration with data scientists to productionise models while maintaining data governance and rapid delivery.
11/07/2026
Full time
Ipsos is recruiting a Data Engineer to advance our Audience Measurement data platforms with a serverless, cloud-first approach on GCP. You will join a team driving architecture, data pipelines, and data storage optimisations, working with internal teams to deploy scalable solutions. The role emphasizes modern Python, event-driven patterns, and collaboration with data scientists to productionise models while maintaining data governance and rapid delivery.
Ipsos is recruiting a Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with internal teams to Develop robust scalable data pipelines and optimise data storage solutions on GCP. What is in it for you? This is a fantastic opportunity for a mid-career / level person to work ontechnologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Data Engineer, you will work in the team to guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Platform Operations: Develop robust scalable data pipelines and optimise data storage solutions on GCP. Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use. Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop. Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities. Document pipelines and the platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement:Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery:Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction. Team Working / Stakeholder Engagement: Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non-technical audiences. Continuous Improvement: Foster a culture of incremental improvement. Vision and Strategy: Support the architectural as set out by the Lead Data Engineer. About you: To be successful in this role, your technical skills should be matched by a pragmatic approach. Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP). Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
11/07/2026
Full time
Ipsos is recruiting a Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with internal teams to Develop robust scalable data pipelines and optimise data storage solutions on GCP. What is in it for you? This is a fantastic opportunity for a mid-career / level person to work ontechnologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Data Engineer, you will work in the team to guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Platform Operations: Develop robust scalable data pipelines and optimise data storage solutions on GCP. Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use. Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop. Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities. Document pipelines and the platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement:Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery:Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction. Team Working / Stakeholder Engagement: Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non-technical audiences. Continuous Improvement: Foster a culture of incremental improvement. Vision and Strategy: Support the architectural as set out by the Lead Data Engineer. About you: To be successful in this role, your technical skills should be matched by a pragmatic approach. Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP). Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
Marketing Management Analytics, Inc.
Cambridge, Cambridgeshire
Lead Data Engineer - Audience Measurement Cambridge, England, United Kingdom (Hybrid) Job Description Lead Data Engineer - Audience Measurement Make your mark at Ipsos Ipsos is recruiting a Lead Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will act as a technical anchor for your team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with Product Managers to define requirements and our Production team to ensure operational stability, delivering scalable and modern data solutions. What is in it for you? This is a fantastic opportunity to work on technologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Lead Data Engineer, you will guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Your key responsibilities will include: Vision and Strategy: Champion the architectural vision within your domain. You will translate business needs into a practical, cost-conscious strategy and effectively communicate this to all stakeholders. Technical Leadership & Line Management: Act as a lead technical authority for data engineering, which includes line management responsibilities for a small team of engineers. You will guide the team on best practices, decoupled logic, and incremental modernization. Platform Operations: Oversee the operational health of your team's data pipelines and systems. You will work closely with our Production team to ensure systems are highly observable, well-documented, and easy to operate via Infrastructure as Code and containerization. Hands-On Engineering: Serve as a senior practitioner building event-driven, serverless data pipelines. You will personally implement core architecture, manage cloud project costs, and ensure systems are resilient. Data Science & Analytics Enablement: Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery: Champion agile methodologies. You will collaborate closely with Product Managers to ensure clear requirements and drive the continual, iterative delivery of new capabilities. Stakeholder and Client Relations: Act as a key technical advisor for clients and internal teams. You will explain complex architectural trade-offs to non-technical audiences and ensure the platform meets strategic objectives. Continuous Improvement: Foster a culture of incremental improvement. You will advocate for safe upgrades using parity testing, avoiding risky rewrites, and ensuring the long-term maintainability of the codebase. About you: To be successful in this role, your technical skills should be matched by a pragmatic, cost-first approach to problem-solving. Extensive Data Engineering Experience: A proven track record of designing, building, and maintaining scalable data platforms using modern cloud providers (AWS or GCP). Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Leadership & Mentorship: Previous line management experience or readiness to step into people leadership and the ability to guide a team of engineers, conduct rigorous code reviews, and author clear architecture decisions. Cost-Conscious Mindset: A strong understanding of cloud economics, with the ability to design architectures that scale sustainably. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work! Job Info Job Identification 8634 Job Category Science Posting Date 06/05/2026, 03:42 PM Locations Cambridge, England, United Kingdom (Hybrid)
06/07/2026
Full time
Lead Data Engineer - Audience Measurement Cambridge, England, United Kingdom (Hybrid) Job Description Lead Data Engineer - Audience Measurement Make your mark at Ipsos Ipsos is recruiting a Lead Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will act as a technical anchor for your team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with Product Managers to define requirements and our Production team to ensure operational stability, delivering scalable and modern data solutions. What is in it for you? This is a fantastic opportunity to work on technologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Lead Data Engineer, you will guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Your key responsibilities will include: Vision and Strategy: Champion the architectural vision within your domain. You will translate business needs into a practical, cost-conscious strategy and effectively communicate this to all stakeholders. Technical Leadership & Line Management: Act as a lead technical authority for data engineering, which includes line management responsibilities for a small team of engineers. You will guide the team on best practices, decoupled logic, and incremental modernization. Platform Operations: Oversee the operational health of your team's data pipelines and systems. You will work closely with our Production team to ensure systems are highly observable, well-documented, and easy to operate via Infrastructure as Code and containerization. Hands-On Engineering: Serve as a senior practitioner building event-driven, serverless data pipelines. You will personally implement core architecture, manage cloud project costs, and ensure systems are resilient. Data Science & Analytics Enablement: Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery: Champion agile methodologies. You will collaborate closely with Product Managers to ensure clear requirements and drive the continual, iterative delivery of new capabilities. Stakeholder and Client Relations: Act as a key technical advisor for clients and internal teams. You will explain complex architectural trade-offs to non-technical audiences and ensure the platform meets strategic objectives. Continuous Improvement: Foster a culture of incremental improvement. You will advocate for safe upgrades using parity testing, avoiding risky rewrites, and ensuring the long-term maintainability of the codebase. About you: To be successful in this role, your technical skills should be matched by a pragmatic, cost-first approach to problem-solving. Extensive Data Engineering Experience: A proven track record of designing, building, and maintaining scalable data platforms using modern cloud providers (AWS or GCP). Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Leadership & Mentorship: Previous line management experience or readiness to step into people leadership and the ability to guide a team of engineers, conduct rigorous code reviews, and author clear architecture decisions. Cost-Conscious Mindset: A strong understanding of cloud economics, with the ability to design architectures that scale sustainably. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work! Job Info Job Identification 8634 Job Category Science Posting Date 06/05/2026, 03:42 PM Locations Cambridge, England, United Kingdom (Hybrid)
Marketing Management Analytics, Inc.
Cambridge, Cambridgeshire
Marketing Management Analytics, Inc. is seeking a Lead Data Engineer in Cambridge, England, to drive the technical evolution of our Audience Measurement data platforms. This hybrid role offers a fantastic opportunity to work on modern technologies and lead a small team of engineers. You will be responsible for guiding the architectural vision, building event-driven data pipelines, managing cloud costs, and ensuring system resilience. The role requires extensive experience with cloud providers, strong programming skills in Python, and a cost-conscious approach to problem-solving.
06/07/2026
Full time
Marketing Management Analytics, Inc. is seeking a Lead Data Engineer in Cambridge, England, to drive the technical evolution of our Audience Measurement data platforms. This hybrid role offers a fantastic opportunity to work on modern technologies and lead a small team of engineers. You will be responsible for guiding the architectural vision, building event-driven data pipelines, managing cloud costs, and ensuring system resilience. The role requires extensive experience with cloud providers, strong programming skills in Python, and a cost-conscious approach to problem-solving.
Marketing Management Analytics, Inc.
Cambridge, Cambridgeshire
Cambridge, England, United Kingdom (Hybrid) Trending Job Description Junior Software Engineer - Audience Measurement Make Your Mark at Ipsos Ipsos is recruiting for a Junior Software Engineer. Ideally you will have a background and interest in audio technology, digital signal processing, someone familiar with common signal processing techniques and experience of real-world audio processing issues. This role sits in Ipsos' CrossMedia - Audience Measurement team working on providing accurate measurement of Media consumption and advertising. Central to this is our audio recognition technology, which is under continuous development and optimisation. What is in it for you? This is a fantastic opportunity to grow your skills under the supervision of experienced professionals, supporting a technology deployed in multiple countries. As a Junior Software Engineer, you will help develop and maintain Ipsos's audio recognition technology. You will help to assess and improve the performance of our patented audio recognition algorithms, and to adapt and optimise them for new scenarios. The Role: Exploring and assessing potential enhancements to our audio recognition technology. Diagnosing real-world limitations, and devising potential work-arounds. Exploring new solutions to upcoming product goals. Collaborating with cross-functional teams to develop, test and deliver solutions that meet client requirements. Collaborate with the team in regular design reviews, sharing your insights and learning from experienced scientists to develop and maintain innovative solutions. Researching and learning new technologies and techniques to stay up-to-date with industry trends. Participating in brainstorming sessions to elicit innovative ideas and solutions. About you: The successful candidate will bring: Proficiency in at least one relevant programming language (ideally C/C++, Matlab or Python) A good technical degree (or higher) in Physics, Maths, Engineering or Computer Science. Familiarity with common signal processing techniques. Experience of real-world audio processing issues. Experience of writing deployable and maintainable software. Knowledge of issue/project tracking software, e.g. Jira. A strong interest in algorithms and a desire to continually improve those algorithms. The curiosity and determination to understand technical systems from first principles. Exemplary communications skills - an ability to produce clear, informative documentation. An enthusiastic attitude with a 'gets things done' mentality. The ability to communicate effectively with technical and non-technical colleagues. Excellent problem-solving skills, including diagnosing issues within complex systems. The willingness to rapidly pick up new technologies. The ability to adapt schedules against changing priorities. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & well being, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full service research organization for four consecutive years. With over 75 different data driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject matter experts from around the world, combining thematic and technical experts to deliver top quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5,000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
04/07/2026
Full time
Cambridge, England, United Kingdom (Hybrid) Trending Job Description Junior Software Engineer - Audience Measurement Make Your Mark at Ipsos Ipsos is recruiting for a Junior Software Engineer. Ideally you will have a background and interest in audio technology, digital signal processing, someone familiar with common signal processing techniques and experience of real-world audio processing issues. This role sits in Ipsos' CrossMedia - Audience Measurement team working on providing accurate measurement of Media consumption and advertising. Central to this is our audio recognition technology, which is under continuous development and optimisation. What is in it for you? This is a fantastic opportunity to grow your skills under the supervision of experienced professionals, supporting a technology deployed in multiple countries. As a Junior Software Engineer, you will help develop and maintain Ipsos's audio recognition technology. You will help to assess and improve the performance of our patented audio recognition algorithms, and to adapt and optimise them for new scenarios. The Role: Exploring and assessing potential enhancements to our audio recognition technology. Diagnosing real-world limitations, and devising potential work-arounds. Exploring new solutions to upcoming product goals. Collaborating with cross-functional teams to develop, test and deliver solutions that meet client requirements. Collaborate with the team in regular design reviews, sharing your insights and learning from experienced scientists to develop and maintain innovative solutions. Researching and learning new technologies and techniques to stay up-to-date with industry trends. Participating in brainstorming sessions to elicit innovative ideas and solutions. About you: The successful candidate will bring: Proficiency in at least one relevant programming language (ideally C/C++, Matlab or Python) A good technical degree (or higher) in Physics, Maths, Engineering or Computer Science. Familiarity with common signal processing techniques. Experience of real-world audio processing issues. Experience of writing deployable and maintainable software. Knowledge of issue/project tracking software, e.g. Jira. A strong interest in algorithms and a desire to continually improve those algorithms. The curiosity and determination to understand technical systems from first principles. Exemplary communications skills - an ability to produce clear, informative documentation. An enthusiastic attitude with a 'gets things done' mentality. The ability to communicate effectively with technical and non-technical colleagues. Excellent problem-solving skills, including diagnosing issues within complex systems. The willingness to rapidly pick up new technologies. The ability to adapt schedules against changing priorities. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & well being, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full service research organization for four consecutive years. With over 75 different data driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject matter experts from around the world, combining thematic and technical experts to deliver top quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5,000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
Marketing Management Analytics, Inc.
Cambridge, Cambridgeshire
Marketing Management Analytics, Inc. is seeking a Junior Software Engineer to work in Cambridge, England. This role focuses on developing and maintaining innovative audio recognition technology. Candidates should have proficiency in programming languages like C/C++, a technical degree in a relevant field, and a strong interest in algorithms. The company offers a hybrid work model and a comprehensive benefits package, including 25 days annual leave. Join us to enhance your skills while working with experienced professionals.
04/07/2026
Full time
Marketing Management Analytics, Inc. is seeking a Junior Software Engineer to work in Cambridge, England. This role focuses on developing and maintaining innovative audio recognition technology. Candidates should have proficiency in programming languages like C/C++, a technical degree in a relevant field, and a strong interest in algorithms. The company offers a hybrid work model and a comprehensive benefits package, including 25 days annual leave. Join us to enhance your skills while working with experienced professionals.