Description
Contract Data Engineer
Location: Hybrid, London
Company Overview:
We are reimagining the entire experience for a specific industry, aiming to provide seamless and joyful access to services for both customers and their loved ones. No more struggles with appointments, lengthy waits, or inconsistent service. Our goal is to deliver personalized experiences, innovative technology, and efficient solutions, with a focus on customer satisfaction.
Mission:
We believe in creating exceptional experiences through technology and innovation. Our team is central to the development of both customer-facing applications and internal tools that drive efficiency. Join us in a dynamic and collaborative environment where creativity and cutting-edge solutions are valued.
Focus:
Our organization is focused on leveraging data to transform customer experiences. We are seeking a skilled Contract Data Engineer to help build a cutting-edge platform for consolidating and analyzing customer data. The ideal candidate will have a strong background in data engineering, ETL processes, and cloud infrastructure, with a focus on data integration, optimization, and quality.
Job Overview:
As a Contract Data Engineer, you will collaborate with cross-functional teams to design, develop, and implement data pipelines for our Customer Data Platform. You will play a key role in ensuring that our platform can effectively aggregate, process, and analyze data from multiple sources, enabling data-driven decision-making across the organization.
Responsibilities:
- Collaborate with data architects, data scientists, and business stakeholders to define integration and transformation requirements for the platform.
- Design, build, and maintain scalable high-performance data pipelines for the ingestion transformation storage of customer data from internal external systems.
- Work with various data sources (CRM marketing platforms transactional databases etc.) to aggregate process customer data in real-time batch formats.
- Ensure data quality by implementing validation cleansing error-handling processes within the pipelines.
- Optimize data storage processing frameworks ensure scalability performance.
- Use cloud-based tools services (e.g., AWS Google Cloud Azure) deploy manage solutions.
- Document workflows pipeline architectures procedures transparency maintainability.
- Troubleshoot resolve issues collaborating technical business teams meet deadlines.
- Monitor system performance conduct regular optimizations improve efficiency reduce costs.
- Ensure adherence best practices security governance throughout lifecycle.
Application Process:
For immediate consideration please send over your most up-to-date CV to [email protected]