Reading, (hybrid/remote) occasional travel to the office required.

Kantar is the world’s leading market-research and analytics company. We have a complete, outstanding, and rounded understanding of how people think, feel and act; globally and locally in over 90 markets. By combining the deep expertise of our people, our data resources and benchmarks and our innovative analytics and technology, we help our clients understand people and encourage growth.

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 leading brands, who trust us to collect reliable insights.

Join Kantar Profiles as a Data Engineer, where your technical expertise and collaborative spirit will contribute to the success of our data-driven initiatives. Apply now and be part of a team that is shaping the future of data analytics at Kantar Profiles.

Job Summary

As a Data Engineer at Kantar Profiles, you play a crucial role in the development and maintenance of robust data pipelines, facilitating seamless access to data for our team of data analysts. This position is integral to our day-to-day operations, involving ad hoc issue resolution, collaborative project-based work, and continuous improvement of data systems.

Responsibilities

Data Pipeline Development

• Collaborate with multi-functional teams to craft, develop, and maintain data pipelines.
• Ensure data integrity, reliability, and efficiency in data processing workflows.

Issue Resolution

• Respond promptly to data-related issues raised by team members, investigating and providing effective solutions.
• Implement corrective measures to improve data quality and resolve discrepancies.

Project-Based Work

• Lead and participate in data migration projects, transitioning legacy data systems to modernised solutions.
• Collaborate with collaborators to understand project requirements and deliver timely results.

Collaborative Role

• Engage in a highly collaborative environment, working closely with data analysts and other team members.
• Experience firsthand the impact of your contributions on the overall success of the team and organisation.

Requirements

• Demonstrable experience as a software or data engineer, demonstrating a good understanding of data architecture and engineering principles.
• Proficiency with Kafka, AWS, and Redshift
• Strong coding skills with either Python or SQL, showcasing the ability to manipulate and analyse data.
• Proven expertise in implementing testing strategies to ensure data quality.
• Proficient in version control systems to supervise changes and collaborate optimally with team members.

At Kantar, we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market driven and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.

Benefits include: starting with 25 days annual leave (increasing with tenure), private medical health cash plan, income protection, life assurance, enhanced employer pension contribution; plus award winning voluntary flexible benefits (lifestyle, health, wealth, wellbeing).

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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.