Data Engineer

Data Engineer

Hybrid – requirement to work from the office once every 2 weeks with additional ad hoc travel as required.

Salary of up to £47,000, pension, critical illness, life assurance, family health care, 25 days holiday, plus bank holidays, exclusive company discounts on used car purchases, leasing deals and aftersales services

As a Data Engineer, you will be responsible for developing and maintaining data pipelines, optimising databases, creating ETL processes, designing data models and ensuring data quality. Reporting into the Lead Data Engineer, you will use your expertise in data engineering to derive valuable insights from our data assets and shape data excellence at Pendragon.

If you’re looking for a role that’s a blend of being fast-paced and challenging, with a culture that enables you to be yourself and enjoy the ride, you’ll feel right at home:

Your Journey as a Data Engineer:

• Develop and maintain robust data pipelines to ingest, process, and transform data from various sources, while ensuring data reliability and quality
• Implement seamless data integration processes supporting the continuous flow of information across the organisation
• Design, optimise and manage databases to proficiently oversee data retrieval and storage, prioritising performance, availability and scalability
• Craft efficient ETL processes transforming raw data into usable formats, including data cleaning, aggregation, and enrichment, streamlining data processing for enhanced efficiency
• Build and maintain data warehouses for structured data storage, ensuring it is organised for easy retrieval, reporting and analysis
• Implement stringent data quality checks and validation processes to ensure high accuracy, proactively monitoring and rectifying data integrity issues
• Optimise data pipelines and databases for performance and scalability, anticipating future growth and evolving business needs
• Enforce robust data security measures to uphold privacy regulations and safeguard against unauthorised access, ensuring data asset protection
• Maintain comprehensive documentation for data pipelines, processes, and models, ensuring seamless knowledge transfer and ongoing support
• Collaborate closely with cross-functional teams, fostering a data-driven culture by understanding requirements and delivering effective solutions together

Are You Ready to Embrace the Challenge? We’re looking for someone who has:

• Proven experience as a Data Engineer or similar role
• Strong SQL skills with relational and NoSQL databases
• Demonstrated experience with data pipeline and ETL tools (e.g. Azure Data Factory, Azure Logic Apps, Databricks, API’s)
• Understanding of different data environments (Data Lakes, Synapse, Delta Lakes)
• Proficiency in programming languages such as Python, Java, or Scala
• Sound knowledge of data modelling, database design principles, data warehousing and data visualisation tools
• Excellent attention to detail and creativity to design, develop and inform overall business strategy
• Ability to work collaboratively and is open to new ideas whilst appreciating the difference each person makes

At Lithia UK, our growth is powered by our people:

As one of the largest automotive retailers globally, we’re passionate about transforming the future of personal transportation and setting new standards for exceptional customer experiences. Our values—Earn Customers for Life, Improve Constantly, Take Personal Ownership, and Have Fun!—fuel everything we do. Join us, and you’ll be part of a team that embraces innovation, champions personal growth, and celebrates success together. If you're ready to make an impact in an environment that empowers you to drive change, we’d love to have you with us on this journey.

Diversity is Our Strength:

Lithia UK recognises the value that diversity brings to the workforce.  This is why we positively welcome applications from all walks of life, backgrounds, and communities. If you have the motivation, skills and talent potential that we are looking for then get in touch. We are an equal opportunities employer.