Ford Motor Company

Data Engineer

11 April 2024
Full Time
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Deadline date:
£60000 - £138000 / year

Job Description

  • Experience with Google Cloud (Big Query, Cloud Run/Build, IAM, Dataflow, and Pub/Sub)
  • Strong background in API development and deployment – Apigee and/or 42Crunch
  • Experience with front-end development using Angular, with a focus on data visualization and user interface design
  • Familiarity and/or experience with Kafka, Postgres, MySQL, and AWS
  • Knowledge or experience in AI/ML, with emphasis on data quality, integrity, and anomaly detection
  • Experience with or knowledge of data quality assurance and data governance practices
  • Strong problem-solving skills and the ability to work effectively in a collaborative team environment
  • Excellent communication and interpersonal skills

 

If you are passionate about leveraging your skills in Google Cloud technologies, analytics, data governance, and data quality management to drive impactful solutions and are excited about the opportunity to contribute to the future of automotive innovation, we encourage you to apply for this position.

  • Collaborate with cross-functional teams to design, develop, and maintain software applications leveraging Google Cloud technologies
  • Utilize CA Agile Central (Rally) to manage project workflows and ensure timely delivery of software solutions
  • Develop and deploy APIs to facilitate data integration and access, while also focusing on data quality and validation
  • Leverage SQL language and database management skills to optimize data processing, storage, and quality control
  • Utilize Angular for front-end development and user interface design to enhance data visualization and user experience
  • Work with Kafka, Pubsub, Postgres, and MySQL to integrate and optimize software solutions with a focus on enhancing UX and maintaining high data quality standards
  • Support data quality initiatives by implementing processes and tools to ensure the accuracy, consistency, and reliability of data across analytics platforms
  • Contribute to the development and implementation of AI/ML solutions to drive data-driven insights and decision-making
  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • Proven experience working with 
    • At least one of the following cloud platform technologies: GCP, AWS, MS Azure, IBM Cloud, or VMware Cloud
    • Continuous integration/continuous delivery tools and pipelines (e.g., Jenkins, git/GitHub) 
    • Infrastructure as Code tools (Preferred: Terraform)
  • Proficiency in Java and Python for backend development and data processing
  • Significant experience and knowledge of Agile methodology with product team experience 
  • Solid understanding of SQL language and database management

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