Software Engineer

We are NielsenIQ Brandbank. One of the world’s most trusted providers of digital product content to brands, retailers and wholesalers across the globe. Our commitment to quality product content means that we work together with regulatory authorities to ensure that you do not have to worry about your content meeting industry standards, because we’ve got it covered. We deliver innovative solutions to the FMCG industry, powering the product content you need to enrich the online shopping experience for consumers worldwide. Being a world leader in end-to-end product content solutions does not mean we rest on our laurels, NielsenIQ Brandbank continues to revolutionise new technologies, so that we can equip you for the future. To learn more about NielsenIQ Brandbank, visit www.brandbank.comYou can also follow us on twitter at

We are seeking a Principal ML Engineer with over 8 years of professional experience in software development to work with us. The ideal candidate has a strong foundation in software engineering principles, software architecture design, and best practices, with solid knowledge of OOP fundamentals. As a Principal ML Engineer, you will play a key role in designing, developing, and maintaining high-quality software solutions, establishing the technical direction for critical projects that run globally. This position involves working on Machine Learning related projects and some Agentic Pipelines. Key responsibilities include designing scalable software solutions with a focus on quality, performance, and maintainability; leading software architecture decisions; collaborating with research leads and product owners to design MLOps pipelines; creating and maintaining documentation; leading a team of experienced and junior developers; performing code reviews; mentoring; and being accountable for technical debt. Qualifications include 6+ years of experience in software development, proven experience leading ML systems, strong software engineering principles, proficiency in architecture and data pipelines, familiarity with cloud services (Azure, AWS, GCP), experience in Agile/Scrum environments, and excellent communication skills in English. Nice to have skills include Python, ML projects (CV, NLP), CI/CD pipelines (Github Actions), DevOps practices, and experience with data transformations (pandas, spark, databricks). Benefits include a flexible working environment, volunteer time off, LinkedIn Learning, and an Employee Assistance Program (EAP). NIQ is a leading consumer intelligence company operating in over 100 markets, committed to diversity and inclusion.

Seeking a Principal ML Engineer with over 8 years of experience to design and develop high-quality machine learning software solutions.

United States

We are seeking a Principal ML Engineer with over 8 years of professional experience in software development to work with us. The ideal candidate has a strong foundation in software engineering principles, software architecture design, and best practices, with solid knowledge of OOP fundamentals. As a Principal ML Engineer, you will play a key role in designing, developing, and maintaining high-quality software solutions, establishing the technical direction for critical projects that run globally. This position involves working on Machine Learning related projects and some Agentic Pipelines. Key responsibilities include designing scalable software solutions with a focus on quality, performance, and maintainability; leading software architecture decisions; collaborating with research leads and product owners to design MLOps pipelines; creating and maintaining documentation; leading a team of experienced and junior developers; performing code reviews; mentoring; and being accountable for technical debt. Qualifications include 6+ years of experience in software development, proven experience leading ML systems, strong software engineering principles, proficiency in architecture and data pipelines, familiarity with cloud services (Azure, AWS, GCP), experience in Agile/Scrum environments, and excellent communication skills in English. Nice to have skills include Python, ML projects (CV, NLP), CI/CD pipelines (Github Actions), DevOps practices, and experience with data transformations (pandas, spark, databricks). Benefits include a flexible working environment, volunteer time off, LinkedIn Learning, and an Employee Assistance Program (EAP). NIQ is a leading consumer intelligence company operating in over 100 markets, committed to diversity and inclusion.Requirements:<ul><li> 6+ years of professional experience in software development.</li><li> Proven experience leading ML based systems.</li><li> Strong foundation in software engineering principles and architecture.</li><li> Proficiency in design software architecture and data pipelines.</li><li> Familiarity with cloud services (e.g., Azure, AWS, GCP).</li><li> Experience working in Agile/Scrum environments.</li><li> Excellent communication skills in English.</li><li> Knowledge of testing frameworks and test automation.</li><li> Experience with Python and/or Machine Learning projects (CV, NLP).</li><li> Experience with CI/CD pipelines (Github Actions) and DevOps practices.</li><li> Experience working with data transformations (pandas, spark, arrow, databricks).</li></ul>Benefits:<ul><li> Flexible working environment</li><li> Volunteer time off</li><li> LinkedIn Learning</li><li> Employee-Assistance-Program (EAP)</li></ul>

Foxintelligence

Software Engineer Seeking a Principal ML Engineer with over 8 years of experience to design and develop high-quality machine learning software solutions. We are seeking a Principal ML Engineer with over 8 years of professional experience in software development to work with us. The ideal candidate has a strong foundation in software engineering principles, software architecture design, and best practices, with solid knowledge of OOP fundamentals. As a Principal ML Engineer, you will play a key role in designing, developing, and maintaining high-quality software solutions, establishing the technical direction for critical projects that run globally. This position involves working on Machine Learning related projects and some Agentic Pipelines. Key responsibilities include designing scalable software solutions with a focus on quality, performance, and maintainability; leading software architecture decisions; collaborating with research leads and product owners to design MLOps pipelines; creating and maintaining documentation; leading a team of experienced and junior developers; performing code reviews; mentoring; and being accountable for technical debt. Qualifications include 6+ years of experience in software development, proven experience leading ML systems, strong software engineering principles, proficiency in architecture and data pipelines, familiarity with cloud services (Azure, AWS, GCP), experience in Agile/Scrum environments, and excellent communication skills in English. Nice to have skills include Python, ML projects (CV, NLP), CI/CD pipelines (Github Actions), DevOps practices, and experience with data transformations (pandas, spark, databricks). Benefits include a flexible working environment, volunteer time off, LinkedIn Learning, and an Employee Assistance Program (EAP). NIQ is a leading consumer intelligence company operating in over 100 markets, committed to diversity and inclusion. Software Engineer Engineer Foxintelligence market-research data-infrastructure-and-analytics internet-marketplace-platforms it-services-and-it-consulting software-development analytics-and-activation digital-asset-management digital-product-content ecommerce it-consulting it-services mcommerce omnichannel product-content product-content-management product-content-syndication product-information-exchange product-information-management product-photography

The role involves leading architecture decisions, collaborating on MLOps pipelines, and mentoring development teams. It focuses on scalable, performance-driven software in a global environment.

Label Insight, part of NielsenIQ, is seeking a Backend Developer Engineer skilled in Java and Kotlin to support their cloud-based platform. The role involves developing microservices architecture, working with AWS services like Lambda, ECS, Fargate, and data stores such as MySQL, PostgreSQL, DynamoDB, and Elasticsearch. Responsibilities include coding in Java/Kotlin/Python/JavaScript, building serverless solutions, modeling complex data, mentoring engineers, and participating in architectural decisions. The team values CI/CD, agile practices, and innovative engineering. The company offers a flexible working environment, benefits like volunteer time off, LinkedIn Learning, and an Employee Assistance Program. NielsenIQ is a global leader in consumer intelligence, committed to diversity and inclusion.

Join NielsenIQ as a Backend Developer Engineer working with Java/Kotlin to develop cloud-native microservices and data solutions.

Label Insight, part of NielsenIQ, is seeking a Backend Developer Engineer skilled in Java and Kotlin to support their cloud-based platform. The role involves developing microservices architecture, working with AWS services like Lambda, ECS, Fargate, and data stores such as MySQL, PostgreSQL, DynamoDB, and Elasticsearch. Responsibilities include coding in Java/Kotlin/Python/JavaScript, building serverless solutions, modeling complex data, mentoring engineers, and participating in architectural decisions. The team values CI/CD, agile practices, and innovative engineering. The company offers a flexible working environment, benefits like volunteer time off, LinkedIn Learning, and an Employee Assistance Program. NielsenIQ is a global leader in consumer intelligence, committed to diversity and inclusion.Requirements:<ul><li> Strong fundamentals in back-end object-oriented programming, including proficiency in Java or Kotlin</li><li> Familiarity integrating Restful APIs and an understanding of microservices architecture</li><li> Experience working with relational and NoSQL databases</li><li> Sound SDLC skills, preferably with experience in an agile environment</li><li> Excellent English communication skills, with the ability to interface across cross-functional teams</li><li> 4 or more years of relevant software engineering experience</li><li> Minimum B.S. degree in Computer Science, Computer Engineering or related field</li></ul>Benefits:<ul><li> Flexible working environment</li><li> Volunteer time off</li><li> LinkedIn Learning</li><li> Employee-Assistance-Program (EAP)</li></ul>

Software Engineer Join NielsenIQ as a Backend Developer Engineer working with Java/Kotlin to develop cloud-native microservices and data solutions. Label Insight, part of NielsenIQ, is seeking a Backend Developer Engineer skilled in Java and Kotlin to support their cloud-based platform. The role involves developing microservices architecture, working with AWS services like Lambda, ECS, Fargate, and data stores such as MySQL, PostgreSQL, DynamoDB, and Elasticsearch. Responsibilities include coding in Java/Kotlin/Python/JavaScript, building serverless solutions, modeling complex data, mentoring engineers, and participating in architectural decisions. The team values CI/CD, agile practices, and innovative engineering. The company offers a flexible working environment, benefits like volunteer time off, LinkedIn Learning, and an Employee Assistance Program. NielsenIQ is a global leader in consumer intelligence, committed to diversity and inclusion. Software Engineer Developer Relations (DevRel) Foxintelligence market-research data-infrastructure-and-analytics internet-marketplace-platforms it-services-and-it-consulting software-development analytics-and-activation digital-asset-management digital-product-content ecommerce it-consulting it-services mcommerce omnichannel product-content product-content-management product-content-syndication product-information-exchange product-information-management product-photography

As a Backend Developer Engineer at NielsenIQ, you will design and implement microservices using Java/Kotlin, AWS, and various data stores. You will collaborate with cross-functional teams to deliver innovative data-driven solutions in a cloud environment.

As a Software Engineer, you’ll be part of a team of highly skilled technologists supporting leading-edge solutions to meet business needs. The platform is based on Java/Kotlin, Python, and JavaScript, with a focus on cloud-native, low-latency technologies. Responsibilities include writing code in Java, Kotlin, JavaScript, or Python using TDD, building event-driven microservices with RESTful APIs and Spring Boot, working on infrastructure as code with AWS services such as Lambda, ECS, Fargate, Step Functions, SNS/SQS, and Kinesis Firehose. You will model complex product data across multiple data stores including MySQL, PostgreSQL, DynamoDB, and Elasticsearch. Mentoring other engineers, authoring architecture decisions, and establishing technical vision are also key parts of the role. The position involves collaborating with teams, participating in whiteboarding sessions, and hosting learning sessions. Qualifications include strong fundamentals in Java or Kotlin, experience with RESTful APIs and microservices, working with relational and NoSQL databases, and at least 4 years of relevant experience. A B.S. degree in Computer Science or related field is required.

Join NielsenIQ as a Backend Software Engineer working with Java/Kotlin to develop cloud-native microservices and data solutions.

As a Software Engineer, you’ll be part of a team of highly skilled technologists supporting leading-edge solutions to meet business needs. The platform is based on Java/Kotlin, Python, and JavaScript, with a focus on cloud-native, low-latency technologies. Responsibilities include writing code in Java, Kotlin, JavaScript, or Python using TDD, building event-driven microservices with RESTful APIs and Spring Boot, working on infrastructure as code with AWS services such as Lambda, ECS, Fargate, Step Functions, SNS/SQS, and Kinesis Firehose. You will model complex product data across multiple data stores including MySQL, PostgreSQL, DynamoDB, and Elasticsearch. Mentoring other engineers, authoring architecture decisions, and establishing technical vision are also key parts of the role. The position involves collaborating with teams, participating in whiteboarding sessions, and hosting learning sessions. Qualifications include strong fundamentals in Java or Kotlin, experience with RESTful APIs and microservices, working with relational and NoSQL databases, and at least 4 years of relevant experience. A B.S. degree in Computer Science or related field is required.Requirements:<ul><li> Strong fundamentals in back-end object-oriented programming, including proficiency in Java or Kotlin</li><li> Familiarity integrating Restful APIs and an understanding of microservices architecture</li><li> Experience working with relational and NoSQL databases</li><li> Sound SDLC skills, preferably with experience in an agile environment</li><li> Excellent English communication skills, with the ability to interface across cross-functional teams</li><li> 4 or more years of relevant software engineering experience</li><li> Minimum B.S. degree in Computer Science, Computer Engineering or related field</li></ul>Benefits:<ul><li> Flexible working environment</li><li> Volunteer time off</li><li> LinkedIn Learning access</li><li> Employee Assistance Program (EAP)</li></ul>

Software Engineer Join NielsenIQ as a Backend Software Engineer working with Java/Kotlin to develop cloud-native microservices and data solutions. As a Software Engineer, you’ll be part of a team of highly skilled technologists supporting leading-edge solutions to meet business needs. The platform is based on Java/Kotlin, Python, and JavaScript, with a focus on cloud-native, low-latency technologies. Responsibilities include writing code in Java, Kotlin, JavaScript, or Python using TDD, building event-driven microservices with RESTful APIs and Spring Boot, working on infrastructure as code with AWS services such as Lambda, ECS, Fargate, Step Functions, SNS/SQS, and Kinesis Firehose. You will model complex product data across multiple data stores including MySQL, PostgreSQL, DynamoDB, and Elasticsearch. Mentoring other engineers, authoring architecture decisions, and establishing technical vision are also key parts of the role. The position involves collaborating with teams, participating in whiteboarding sessions, and hosting learning sessions. Qualifications include strong fundamentals in Java or Kotlin, experience with RESTful APIs and microservices, working with relational and NoSQL databases, and at least 4 years of relevant experience. A B.S. degree in Computer Science or related field is required. Software Engineer Engineer Foxintelligence market-research data-infrastructure-and-analytics internet-marketplace-platforms it-services-and-it-consulting software-development analytics-and-activation digital-asset-management digital-product-content ecommerce it-consulting it-services mcommerce omnichannel product-content product-content-management product-content-syndication product-information-exchange product-information-management product-photography Java Kotlin Python JavaScript React Spring Boot AWS Lambda ECS Fargate Step Functions SNS SQS Kinesis Firehose MySQL PostgreSQL DynamoDB Elasticsearch

As a Backend Software Engineer at NielsenIQ, you will develop microservices using Java/Kotlin, work with cloud infrastructure on AWS, and model complex data. You will collaborate with cross-functional teams to deliver innovative data-driven solutions.

We are seeking a Principal ML Engineer with over 8 years of professional experience in software development to work with us. The ideal candidate has a strong foundation in software engineering principles, software architecture design, and best practices, with solid knowledge of OOP fundamentals. As a Principal ML Engineer, you will play a key role in designing, developing, and maintaining high-quality software solutions, establishing the technical direction for critical projects that run globally. This position involves working on Machine Learning related projects and some Agentic Pipelines. Key responsibilities include designing scalable software solutions with a focus on quality, performance, and maintainability; leading software architecture decisions; collaborating with research leads and product owners to design MLOps pipelines; creating and maintaining documentation; leading a team of experienced and junior developers; performing code reviews; mentoring; and being accountable for technical debt. Requirements include 6+ years of experience in software development, proven experience leading ML systems, strong software engineering and architecture skills, proficiency in data pipelines and cloud services (Azure, AWS, GCP), experience in Agile/Scrum environments, and excellent communication skills in English. Nice to have skills include experience with Python, Machine Learning projects (CV, NLP), CI/CD pipelines (Github Actions), DevOps practices, and data transformations (pandas, spark, arrow, databricks). The company offers a competitive salary, flexible working hours, remote work options, career growth opportunities, and a collaborative environment.

Seeking a Principal ML Engineer with extensive experience to design and develop scalable machine learning solutions and data pipelines.

We are seeking a Principal ML Engineer with over 8 years of professional experience in software development to work with us. The ideal candidate has a strong foundation in software engineering principles, software architecture design, and best practices, with solid knowledge of OOP fundamentals. As a Principal ML Engineer, you will play a key role in designing, developing, and maintaining high-quality software solutions, establishing the technical direction for critical projects that run globally. This position involves working on Machine Learning related projects and some Agentic Pipelines. Key responsibilities include designing scalable software solutions with a focus on quality, performance, and maintainability; leading software architecture decisions; collaborating with research leads and product owners to design MLOps pipelines; creating and maintaining documentation; leading a team of experienced and junior developers; performing code reviews; mentoring; and being accountable for technical debt. Requirements include 6+ years of experience in software development, proven experience leading ML systems, strong software engineering and architecture skills, proficiency in data pipelines and cloud services (Azure, AWS, GCP), experience in Agile/Scrum environments, and excellent communication skills in English. Nice to have skills include experience with Python, Machine Learning projects (CV, NLP), CI/CD pipelines (Github Actions), DevOps practices, and data transformations (pandas, spark, arrow, databricks). The company offers a competitive salary, flexible working hours, remote work options, career growth opportunities, and a collaborative environment.Requirements:<ul><li> 6+ years of professional experience in software development.</li><li> Proven experience leading ML based systems.</li><li> Strong foundation in software engineering principles and architecture.</li><li> Proficiency in design software architecture and data pipelines.</li><li> Familiarity with cloud services (e.g., Azure, AWS, GCP).</li><li> Experience working in Agile/Scrum environments.</li><li> Excellent communication skills in English.</li><li> Knowledge of testing frameworks and test automation.</li><li> Experience with Python and/or Machine Learning projects (CV, NLP).</li><li> Experience with CI/CD pipelines (Github Actions) and DevOps practices.</li><li> Experience working with data transformations (pandas, spark, arrow, databricks).</li></ul>Benefits:<ul><li> Flexible working environment</li><li> Volunteer time off</li><li> LinkedIn Learning</li><li> Employee-Assistance-Program (EAP)</li></ul>

Software Engineer Seeking a Principal ML Engineer with extensive experience to design and develop scalable machine learning solutions and data pipelines. We are seeking a Principal ML Engineer with over 8 years of professional experience in software development to work with us. The ideal candidate has a strong foundation in software engineering principles, software architecture design, and best practices, with solid knowledge of OOP fundamentals. As a Principal ML Engineer, you will play a key role in designing, developing, and maintaining high-quality software solutions, establishing the technical direction for critical projects that run globally. This position involves working on Machine Learning related projects and some Agentic Pipelines. Key responsibilities include designing scalable software solutions with a focus on quality, performance, and maintainability; leading software architecture decisions; collaborating with research leads and product owners to design MLOps pipelines; creating and maintaining documentation; leading a team of experienced and junior developers; performing code reviews; mentoring; and being accountable for technical debt. Requirements include 6+ years of experience in software development, proven experience leading ML systems, strong software engineering and architecture skills, proficiency in data pipelines and cloud services (Azure, AWS, GCP), experience in Agile/Scrum environments, and excellent communication skills in English. Nice to have skills include experience with Python, Machine Learning projects (CV, NLP), CI/CD pipelines (Github Actions), DevOps practices, and data transformations (pandas, spark, arrow, databricks). The company offers a competitive salary, flexible working hours, remote work options, career growth opportunities, and a collaborative environment. Software Engineer Engineer Foxintelligence market-research data-infrastructure-and-analytics internet-marketplace-platforms it-services-and-it-consulting software-development analytics-and-activation digital-asset-management digital-product-content ecommerce it-consulting it-services mcommerce omnichannel product-content product-content-management product-content-syndication product-information-exchange product-information-management product-photography

The role involves leading software architecture decisions, collaborating on MLOps pipelines, and mentoring development teams. It focuses on high-quality, performance-driven machine learning projects and microservices architectures.

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