Data Platform Engineer
Job Description
Keyloop, a pioneering force in automotive retail technology, is seeking a Data Platform Engineer to join their innovative team. The company bridges the gap between dealers, manufacturers, technology suppliers, and car buyers through cutting-edge digital transformation solutions.
The role focuses on developing and maintaining Data Lakes and Pipelines, requiring expertise in Python, SQL, and AWS cloud technologies. The ideal candidate will be responsible for supporting the company's data strategy while ensuring best practices in data engineering are maintained. They will work with various stakeholders, from the Business Intelligence team to clients and partners.
This position offers an excellent opportunity for career growth within a global company that's pushing the boundaries of automotive retail technology. The company values diversity and inclusion, offering a collaborative environment where professionals can learn from industry experts worldwide. They provide performance-based compensation and emphasize personal development.
What makes this role particularly attractive is the combination of technical challenges in data engineering and the opportunity to impact the automotive retail industry's digital transformation. The company's commitment to modern technologies and best practices, coupled with their focus on employee growth and inclusive culture, makes this an ideal position for a data engineer looking to make a significant impact in a forward-thinking organization.
Working remotely in Poland, you'll be part of a team that's shaping the future of automotive retail through innovative data solutions. The role offers the perfect blend of technical complexity, business impact, and professional growth opportunities.
Responsibilities For Data Platform Engineer
- Maintain and develop the Data Lake and existing Data Pipelines
- 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 in querying centralized data stores
- Work independently, manage day-to-day workload and priorities
- Drive technical and career development
- Support colleagues on calls or in meetings with clients, partners, and suppliers
- Maintain systems under the team's control, including user and access management
- Ensure information security and data protection compliance
Requirements For Data Platform Engineer
- Strong background in Data Engineering, with experience in developing and maintaining Data Pipelines and Data Lakes
- Advanced proficiency in Python and SQL
- Understanding of AWS cloud technologies, including infrastructure as code (CDK preferred)
- Strong understanding of information security and data protection principles
- 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
Benefits For Data Platform Engineer
- Career development opportunities
- Inclusive work environment
- Performance-based pay
- Training and development investment
- Equal opportunity employer
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