WhoCanFixMyCar is hiring a
Data Architect

Summary

FixMyCar is seeking a Data Architect/Engineer to lead their data revolution and craft the data architecture that fuels their insights and decisions. The role involves building and maintaining a robust data infrastructure, leveraging data insights, establishing data quality standards, identifying opportunities to monetize data, and staying up-to-date with emerging technologies. The position is remote, with occasional visits to the office in Reading.

Requirements

• Minimum of 5 years of experience in data engineering or a related field
• Strong commercial and strategic awareness
• Experience managing a small team
• Strong proficiency in SQL and data modelling
• Experience working with big data technologies
• Proficient in scripting languages such as Python or Scala
• Hands-on experience with cloud-based data platforms, ideally AWS
• Experience building and optimising data pipelines and ETL processes
• Knowledge of data warehouse design and data integration concepts, ideally Redshift
• Understanding of data governance and security best practices
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills
• Experience with agile development methodologies

Responsibilities

• Build and maintain a robust data infrastructure that supports our long-term growth, ensuring seamless data flow and high-performance across all business operations
• Leverage data insights to inform and accelerate product development, enabling the creation of innovative solutions that meet market demands and enhance customer experiences
• Establish and enforce rigorous data quality standards and governance frameworks to ensure accuracy, integrity, and security across all data processes and assets
• Identify and capitalise on opportunities to monetise data, turning FixMyCar's data insights into valuable assets that drive additional revenue streams and market leadership
• Stay at the cutting edge of technology by continuously exploring and adopting emerging tools, techniques, and best practices in data engineering, fostering a culture of innovation within the organisation

Benefits

• Fully remote/flexible working
• Holidays: 25 days per annum
• Private Medical Insurance (70% Company funded)
• Life Assurance (4x basic salary)
• Pension: 5.5% Employer contribution (5% Employee contribution)
• Employee Assistance Programme
• Flu vaccinations allowance
• Home-based allowance
• Eye test allowance
• 2 volunteering days
• Holiday Buy-Back Scheme: Buy 5 days additional holiday (After 1 years' service)