This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners. As a member of our team, you will work alongside world-class talent in an environment that not only fosters innovation but also personal growth. You will be at the forefront of AI, leveraging multimodal datasets to build groundbreaking solutions over a multi-year roadmap. Your contributions will directly shape cutting-edge AI products and services that make a tangible impact for FTSE 100 clients.
Job Responsibility:
Collaborate closely with data scientists, architects, and other stakeholders to understand and implement business requirements
Provide data engineering support for AI model development and deployment
Implement and optimize data transformations and ETL/ELT processes
Work with a variety of databases and data warehousing solutions
Implement monitoring, troubleshooting, and maintenance procedures for data pipelines
Participate in the creation and ongoing maintenance of documentation
Requirements:
Proficiency with the Python and SQL programming languages
Hands-on experience with cloud platforms like AWS, GCP, or Azure
Familiarity with big data technologies such as Hadoop or Spark
Experience working with relational databases and NoSQL databases
Strong knowledge of data structures, data modelling, and database schema design
Experience in supporting data science workloads and working with both structured and unstructured data
Familiarity with containerization technologies, such as Docker or Kubernetes
Nice to have:
Experience with data visualization tools, such as Tableau or Power BI
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