Data Engineer

Detalhe da Oferta:

The priject is the UK’s leading independent automotive retailer of lightly loved vehicles. Our mission is to bring affordable transportation at fair prices with excellent quality, remarkable experiences. To enable our mission, we are looking for data engineers who are passionate about our business and data engineering, great team members that hustle.   Our journey is fuelled by innovation, a fast-paced environment, and a clear vision led by senior leadership.

The Role:
As a Data Engineer, you will be at the heart of our technological transformation, crafting the foundation of our new data environment. This role is pivotal in developing a robust, scalable data platform that will serve as the core single source of truth for all operations, supporting advanced optimisation and automation models, including machine learning applications like price intelligence, demand forecasting, and allocation optimisation.

The right candidate should be highly analytical with a background and experience in mathematics, statistics, and computer programming. Fluent with data engineering and architecture, database design and data modelling, data platforms – you connect data and reporting to our business and customers. Passionate about building data, pipelines and platforms, you keep updated on new developments in technology and using open source; understanding how such can benefit customers and business.   

• Design, build and maintain an advanced data environment on AWS using MySQL, Python, and other essential tools and languages suggested by industry trends and project requirements.
• Develop and implement data models, database designs, and ETL processes that support machine learning and automation initiatives, focusing primarily on data infrastructure over ML applications.
• Collaborate with cross-functional teams to ensure seamless integration of the new data platform with existing systems, driving modular migrations and maintaining operational excellence.
• Engage in projects geared towards optimising car servicing through computer vision and enhancing customer understanding through segmentation, classification, recommendation models, and price point estimation.
• Stay ahead of data protection regulations, ensuring compliance while managing the fast-paced expansion and innovation within the company.

• Proven experience in data engineering with a senior-level understanding of data architecture, database design, and data modelling.
• Strong proficiency in SQL, Python, and familiarity with AWS. Openness to learning and incorporating additional languages or tools as necessary.
• Experience with ETL processes, data integration, and automation.
• An enthusiasm for self-development, with a keen interest in exploring new technologies and methodologies.
• Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, innovative environment.
• Proven experience as a Data Scientist, Data Engineer, or Data Analyst 
• Strong expertise in data modelling and architectures (data lake, data hub, data vault)
• Experience with database design, ETL/ELT processes and data pipelines
• Experience with data warehousing, cloud based data platforms such as Snowflake, Databricks running on AWS or Azure
• Problem-solving aptitude
• BSc/BA in Computer Science, STEM field or significant experience in lieu of degree; graduate degree in Data Science or other quantitative field is preferred

What We Offer:
• A pivotal role in the journey to become the UK's leading technology-driven used car brand.
• A dynamic, fast-paced work environment with clear vision and leadership.
• Significant opportunities for professional development and exposure to new technologies, with active encouragement for growth.
• A chance to work on industry-leading projects with a focus on making tangible impacts on the business and the customer experience.
If you're passionate about building cutting-edge data environments and eager to make a significant impact in the automotive industry, we want to hear from you. Please contact me via email: ---@---

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