At a Glance
- Tasks: Design and optimise data pipelines to transform and manage data for impactful insights.
- Company: Join Lithia UK, a leader in modernising personal transportation.
- Benefits: Enjoy 33 days holiday, competitive salary, and exclusive discounts.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
- Why this job: Shape the future of data in a dynamic, innovative environment.
- Qualifications: Experience in data engineering, SQL, and ETL tools required.
The predicted salary is between 60000 - 68000 £ per year.
Lithia UK, Hybrid – requirement to work from the Annesley (Nottinghamshire) Head Office every Tuesday and the final Wednesday of the month. Salary of £60,000-£68,000, pension, critical illness, life assurance, family health care, 33 days holiday (including bank holidays), exclusive company discounts on used car purchases, leasing deals and aftersales services.
At Lithia UK, our mission is simple: to modernise personal transportation—whenever, wherever, and however our customers desire. We’re not just keeping up with change—we’re leading it. Whether it’s enhancing the customer journey, transforming operational efficiency, or unlocking new opportunities, data is at the heart of our decisions.
Reporting into the Data Solutions Manager, you’ll play a vital role in designing, developing and optimising scalable data pipelines and infrastructure. Your work will ensure our business and customers benefit from clean, structured, and insightful data—fueling everything from performance reporting to cutting‑edge digital experiences. This is more than just a technical role—it’s a chance to shape the future of data at one of the world’s leading automotive groups. If you're driven by innovation, thrive on solving complex data challenges, and want to be part of a high-impact team —this is your opportunity!
Your Journey as a Senior 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.
- Mentor junior members of the team and manage requests and task lists as and when required.
Are You Ready to Embrace the Challenge? We’re looking for someone who has:
- Significant experience as a Data Engineer looking to step up or currently in similar role.
- Advanced SQL skills with relational and NoSQL databases.
- Demonstrated experience with data pipeline and ETL tools (Azure Data Factory, Azure Logic Apps, Databricks, API’s).
- Understanding of different data environments (Data Lakes, Synapse, Delta Lakes, Snowflake).
- 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.
- Experience of coaching and mentoring junior members of the team.
- Experience of and confident in leading projects or taking a lead on data elements as minimum in larger projects.
- Experience of task management and delegating tasks out to the team.
- Confident in dealing with Senior members of staff from other areas of the business for meetings and requests.
Why Lithia UK?
- Enjoy 33 days annual leave (including bank holidays), giving you more time to relax, recharge, and do what you love.
- Celebrate your special day with an extra day off on your birthday.
- Our industry‑leading Family Leave Policies ensure you’re supported when it matters most.
- Take a paid day to volunteer and give back to a cause close to your heart.
- We believe in recognising dedication and loyalty, that’s why we celebrate long service milestone anniversaries.
- Unlock your potential with tailored training and endless career growth opportunities.
- Commute for less with our cycle to work scheme.
- Access high street discounts to make the everyday a little more rewarding.
- Know someone perfect for Lithia UK? Earn rewards through our internal referral scheme.
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.
Senior Data Engineer in Nottingham employer: Lithia UK Head Office
At Lithia UK, we pride ourselves on being an exceptional employer that champions innovation and personal growth. With a hybrid work model based in Annesley, Nottinghamshire, our employees enjoy generous benefits including 33 days of holiday, comprehensive family health care, and tailored training opportunities to unlock their potential. Join a dynamic team where your contributions shape the future of data in the automotive industry, all while enjoying a supportive work culture that celebrates success and encourages giving back to the community.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Nottingham
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We think you need these skills to ace Senior Data Engineer in Nottingham
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
