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
Project-Based Work
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, with a strong 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.
This position can be done fully remote, with only occasional visits to our office in Reading. We value flexibility and understand the importance of work-life balance. Join us at Kantar Profiles and be part of an ambitious team dedicated to delivering world-class data solutions!
We value diversity and are committed to equal opportunities for all. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We ensure reasonable accommodations for individuals with disabilities throughout the application and interview process, as well as in performing crucial job functions and receiving other employment benefits.
#LI-Remote #LI-CR1