Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers.
We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.
We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?
Job Summary:
We are seeking a highly skilled and experienced Data Engineer to join our team. The successful candidate will be responsible for developing and maintaining our Data Lake and existing Data Pipelines, as well as continually exploring, analyzing, and proposing improvements to existing processes and tooling. They will also be responsible for ensuring best practices are being adopted and staying up to date with the latest research and trends in Data Engineering.
This is a contractor role with a remote work type.
Skills Required:
- Strong background in Data Engineering, with experience in developing and maintaining Data Pipelines and Data Lakes
- Proven record of accomplishment of staying up to date with the latest research and best practices in Data Engineering
- Excellent technical skills in Data Engineering tools and technologies
- Advanced proficiency in Python and SQL
- Understanding of AWS cloud technologies, including infrastructure as code (CDK preferred)
- Effective communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels
- Strong understanding of information security and data protection principles
- Experience in driving technical and career development, creating appropriate goals and seeking learning opportunities within the company and the wider software community
- Good understanding and prior experience of the Agile process (Scrum or Kanban)
- Fluency with software design patterns
- Experience working with automotive retail technology would be a distinct advantage
Key Responsibilities:
- Maintain and develop the Data Lake and existing Data Pipelines to support the product and data teams’ requirements
- Continuously explore, analyze, and propose improvements to existing processes and tooling
- Stay up to date with the latest research, trends and best practices in Data Engineering
- Support the Business Intelligence team and wider Company in querying centralized data stores, including the Data Lake
- Work within department to maintain an ongoing understanding of the company’s data strategy and roadmap
- Proactively report on issues and problems
- Work independently, manage day-to-day workload and priorities, and take accountability for direction and output
- Drive your own technical and career development, create appropriate goals, and seek learning opportunities within the company and the wider software community
- Support colleagues on calls or in meetings with clients, partners, and suppliers as required
- Maintain systems under the team’s control, including user and access management
- Support colleagues and HR with onboarding as well as offboarding processes
- Ensure information security, data protection and support the business in complying with any legal obligations imposed upon it through positive actions
Technologies:
- Python
- SQL: Trino, Spark-SQL, Hive, TSQL
- AWS Cloud services (including: s3, step functions, glue, CDK)
- Terraform
- Linux
- Windows
