We are looking for a Senior Data Engineer to take ownership of data infrastructure, pipelines, and API development for our Business Data Science initiatives. In this role, you will build and maintain scalable data workflows, develop APIs, and integrate ML/AI best practices to enable seamless model deployment and monitoring. 

What you’ll be doing   

Data Engineering & Pipeline Development 

• Consume production data streams and transform them for analytical and ML use. 

• Build and optimize ETL/ELT workflows to support models. 

Database & Infrastructure Management 

• Develop database solutions for data analysis and model development. 

• Implement monitoring solutions to ensure data integrity and model performance. 

ML & AI Model Deployment 

• Work with data scientists to deploy models into production. 

• Automate model training, evaluation, and deployment pipelines. 

• Implement CI/CD workflows for models. 

API Development  

• Develop FastAPI-based RESTful APIs to expose data to other services and teams. 

• Implement secure, scalable, and high-performance API endpoints for data access and model inference. 

• Integrate authentication, logging, and monitoring for APIs. 

Collaboration & Best Practices 

• Work closely with software engineers, data scientists, and analysts to align technical solutions with business goals. 

• Develop infrastructure as code to automate data and ML infrastructure. 

The skills & experience needed as a Senior Data Engineer  

• Programming: Strong experience with Python. 

• Databases: Proficiency in SQL databases. 

• Cloud Technologies: Hands-on experience with AWS or Azure. 

• AI & ML Lifecycle: Experience with ML and AI models. 

• CI/CD & Infrastructure as Code: Experience with Terraform, GitHub Actions, or CloudFormation. 

• Version Control: Proficiency with Git. 

• Monitoring & Observability: Experience with Grafana or CloudWatch. 

• Familiarity with Kafka is an advantage. 

We are not able to offer visa sponsorship or assist with relocation support for this role. Please ensure you have the right to work in the country where this role is located before applying.

Kantar Profiles Division

Unleash your potential at Kantar's Profiles division, home to the world’s largest audience network.

Join our expert team in survey design, sampling methodologies, and data science, we leverage cutting-edge technology to provide our clients with seamless access to real people and unparalleled insights.

Backed by industry-leading anti-fraud technology, our Profiles Audience Network comprises over 170 million individuals, in more than 100 markets worldwide. Our clients include many of the world’s leading brands, who trust us to collect reliable insights.

Be part of a team that shapes the future of panel market research and drives results for brands everywhere!

Some key facts:

• Our team is made up of 600 people globally.
• We are present in 27 countries.
• Profiles currently holds a 10% share in the $3b panel industry but we have ambition, a robust 3-year business plan and the financial backing of our private equity owners (Bain Capital) to grow to be the #1 player in this sector.
• We provide an ideal environment for professional growth, offering:
• A ‘start-up’ atmosphere in which you can make a big impact and get credit for it.
• The chance to learn all aspects of the business and influence the decision-making process.
• The opportunity to network and learn from highly experienced, senior members of our teams from across the business, globally.