Search the 101 jobs at dentsu

As a Senior Data Engineer, you will lead cloud engineering projects in a media-focused context, manage client relationships, oversee junior team members, and deliver hands-on technical work including developing ETL processes, creating data pipelines, and conducting SQL queries for data extraction and transformation.

The Manager, Analytics will oversee attribution modeling projects, managing teams to ensure data quality and drive innovation in analytics. Responsibilities include collaborating with clients for data collection, conducting modeling, and presenting insights, while maintaining project timelines and facilitating continuous improvement processes.

As a Manager, you will lead analytics implementations, mentor managers, and develop training programs to enhance team performance and client satisfaction. You will also participate in strategic planning and educate stakeholders on best practices in digital analytics.

The role involves developing and maintaining multi-terabyte marketing databases, integrating feeds, and ensuring alignment with client business goals. Responsibilities include understanding detailed designs and performing complex tasks with some oversight from senior team members while working with various database technologies and cloud platforms.

Lead QA role responsible for ensuring software quality, defining testing objectives, mentoring QA team, and communicating with stakeholders. Proficiency in SQL, DWH testing, test planning, and QA management required. Good communication skills and experience in UI/Automation testing are a plus.

As a Lead Frontend Developer, you will be responsible for integrating designs into scalable user interfaces for e-commerce and content solutions. Your role includes leading the front-end team, optimizing performance, mentoring team members, and driving innovation in front-end engineering. You will also participate in requirements gathering, development, and ensure best practices in usability and design are followed.

The Lead QA is responsible for ensuring software quality by leading testing initiatives, developing test plans, and overseeing the execution of various testing phases. This role involves mentoring a team, communicating with stakeholders, and addressing data quality issues throughout the project lifecycle.

As an AEM Engineer at Merkle, you will develop solutions using Adobe Experience Manager for multi-market projects, mentor colleagues, and manage the entire software development process including client engagements. Responsibilities involve designing web applications, working with databases, and maintaining high code quality.

The Data Engineer will develop and maintain ETL workflows, manage cloud resources, optimize SQL queries, and contribute to the data warehouse infrastructure on Google Cloud. Responsibilities include writing maintainable code, managing data access, and assisting with the deployment of ML solutions.

The Integration Data Engineer will develop and support integration solutions connecting various SaaS platforms and back-office systems. Key responsibilities include designing integration solutions, maintaining data pipelines, collaborating with stakeholders, and troubleshooting issues across development environments. The role demands strong problem-solving skills and the ability to manage multiple projects efficiently.

The Data Management Developer Lead oversees the development of database marketing solutions, utilizing various database technologies. Responsibilities include design, troubleshooting, upgrading solutions, and implementing continuous integration. The role requires strong client interactions, technical and non-technical communication skills, and project management capabilities to deliver high-quality solutions within timelines.

The DevOps Engineer is responsible for designing, testing, deploying, and maintaining DevOps solutions, implementing best practices, automating deployment pipelines, troubleshooting issues across environments, and working closely with the SRE team for support.

The Data Engineer is responsible for maintaining, improving, and manipulating data within operational and analytics databases. This role involves creating optimal data pipeline architecture, building analytics tools, and collaborating with various teams to support data infrastructure needs.

The Senior Manager - Performance Media Analytics role involves leading strategic direction for the team, developing and delivering analytic offerings, working with other channels for integration, and growing the consulting practice through new business opportunities.

The Legal Counsel at Dentsu provides legal advice and compliance support, negotiates commercial agreements, and assists with legal risk management to protect the company’s interests. Responsibilities include drafting contracts, supporting teams in negotiations, and implementing best practices in compliance and governance.

The Fullstack Cloud Developer at Merkle will write scalable and maintainable code, build solutions on AWS and Kubernetes, collaborate with teams, conduct code reviews, implement CI/CD pipelines, maintain system performance, troubleshoot issues, and drive the adoption of new technologies.

In this role, you will manage analytics implementation practices, mentor staff, and ensure high-quality web analytics solutions for clients. Responsibilities include developing training programs, consulting on analytics tools, conducting quality assurance tests, and collaborating with teams to improve project outcomes.

The Project Manager at Merkle is responsible for overseeing project execution, managing resources, and ensuring project delivery within scope, budget, and time constraints. This role includes reporting on project status, implementing risk management processes, and collaborating with clients and team members. The Project Manager also supports business opportunities and develops project management skills within the team.

The Data Engineer will maintain and enhance operational and analytics databases, create efficient data pipelines, and support data teams in optimizing data-related processes. Responsibilities include building analytics tools, implementing internal improvements, and collaborating with various stakeholders to address data issues and ensure data security.

The Talent Acquisition Partner will manage the recruitment process, collaborating with hiring managers to develop strategies, stay updated on TA trends, build a talent pipeline, and manage employer branding, all while ensuring compliance with GDPR.