Senior Data Engineer

At F1, being the best of the best isn’t just a goal—it’s in our DNA. We’re on the lookout for an incredible Senior Data Engineer who thrives on innovation and excellence, with experience in the AWS environment, including S3, Redshift, and other AWS products.

Based in our London office and reporting into the Senior CRM & Customer Service Ops Manager, you will:

• Engineering Excellence: Design, build, and maintain scalable data solutions using AWS services, ensuring peak performance and reliability.
• Data Management: Expertly manage data storage, retrieval, and processing across AWS S3, Redshift, and other AWS tools.
• Innovation: Lead the charge in integrating the latest AWS technologies and best practices into our data engineering processes.
• Collaboration: Work closely with data architects and lead other engineers to deliver top-tier data solutions.
• Optimization: Continuously refine data workflows and processes to achieve unparalleled efficiency and minimal latency.
• Security: Implement and uphold robust data security protocols to safeguard our most valuable asset—information.

Specification

• AWS Expert: Deep expertise with AWS services, particularly S3, Redshift, Lambda, Glue, and RDS.
• Data Engineering: Exceptional skills in data engineering, ETL processes, and data warehousing.
• DBT: Although not an AWS technology, it’s important to highlight its relevance.
• Kinesis: Essential for near real-time data streaming.
• PySpark: A fundamental component for ETL processes. While it's covered under Glue, it's worth explicitly calling out.
• Experience: Proven excellence in engineering data solutions, with at least 3 years of experience in the AWS environment.
• Problem-Solving: Superior analytical and problem-solving abilities, adept at resolving complex data challenges.
• Communication: Outstanding communication skills, capable of translating technical concepts for non-technical stakeholders.
• Agility: Thrive in a high-octane, dynamic environment, adapting swiftly to new challenges.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• AWS Certified Solutions Architect or equivalent certification is highly desirable.
• Experience in data engineering and AWS environments.

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