At a Glance
- Tasks: Build and maintain data infrastructure, develop AI features, and create scalable data pipelines.
- Company: Join a forward-thinking team in a dynamic analytics environment.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects with room for creativity and innovation.
- Why this job: Shape the future of data engineering and AI in a rapidly evolving field.
- Qualifications: Degree in relevant field and 3+ years of hands-on data engineering experience.
The predicted salary is between 60000 - 80000 £ per year.
As a Data Engineer / AI Engineer in the Operational Analytics team, you will be the hands-on builder who designs, develops, and maintains our data infrastructure from the ground up — ahead of full IT handover. This is not a Database Administrator role. We need someone who has built things from scratch, is comfortable operating in ambiguity, and is excited to shape both the engineering and AI layer of a growing analytics function.
What You’ll Be Doing
- Write clean, well-documented Python and SQL code with a focus on performance, maintainability, and reusability.
- Architect and develop data models within our centralized data platform, ensuring data quality, consistency, and traceability.
- Build new data assets from raw sources, bridging operational systems and the analytical layer until IT takes full ownership.
- Develop and implement AI/ML-enabled data features — including data enrichment, anomaly detection, and predictive pipelines.
- Integrate AI APIs and LLM-based tools into data workflows to accelerate analytics at scale.
- Work closely with analysts and business stakeholders to understand data needs and translate them into robust engineering solutions.
- Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and serve data across the organization.
- Support the transition of built solutions to IT once production-ready, ensuring proper documentation and handover.
What You’ll Bring
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering or a related field.
- 3+ years of hands-on experience in data engineering, strong managing large datasets and fluent with SQL querying, including building ETL/ELT pipelines and data models from scratch.
- Strong proficiency in Python (pandas, PySpark, or similar) and SQL.
- Experience with cloud-based data platforms (e.g., Snowflake, Azure DL, AWS S3, Databricks).
- Practical knowledge of AI/ML concepts and experience integrating AI capabilities into data products or pipelines.
- Excellent communication skills: able to engage with business stakeholders and translate requirements into technical designs.
- Comfortable working as a builder and owner before IT infrastructure is fully in place — a 'zero-to-one' mindset.
Nice to Have
- Familiarity with orchestration tools such as Apache Airflow, dbt, or Azure Data Factory.
- Exposure to LLM frameworks (LangChain, OpenAI API, Azure OpenAI).
- Experience with version control (Git/GitHub) and CI/CD practices for data pipelines.
Location: Bracknell, Bracknell Forest, United Kingdom
Data Engineer / AI Engineer in Bracknell employer: United Kingdom Avis Budget Services Limited
Join our dynamic Operational Analytics team in Bracknell, where innovation meets collaboration. As a Data Engineer / AI Engineer, you'll thrive in a culture that values creativity and hands-on problem-solving, with ample opportunities for professional growth and development. Enjoy the unique advantage of shaping cutting-edge data solutions while working in a supportive environment that encourages continuous learning and embraces the latest technologies.
Contact Details:
United Kingdom Avis Budget Services Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer / AI Engineer in Bracknell
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and AI/ML. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss how you've built data models or integrated AI features in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with building data infrastructure and working in ambiguous environments.
We think you need these skills to ace Data Engineer / AI Engineer in Bracknell
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your hands-on experience with data engineering. We want to see how you've built things from scratch and tackled ambiguity head-on. Use specific examples to showcase your Python and SQL prowess!
Tailor Your Application:Don’t just send a generic application! Tailor it to the Data Engineer / AI Engineer role by aligning your skills and experiences with what we’re looking for. Mention any relevant projects or technologies you’ve worked with that match our job description.
Keep It Clear and Concise:We appreciate clarity! Make sure your application is well-structured and easy to read. Use bullet points where necessary and keep your language straightforward. This will help us quickly grasp your qualifications and fit for the role.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all the necessary documents in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at United Kingdom Avis Budget Services Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and SQL. Brush up on your experience with cloud platforms like Snowflake or AWS, and be ready to discuss how you've used them in past projects.
✨Showcase Your Building Skills
Prepare examples of data models or ETL/ELT pipelines you've built from scratch. Be specific about the challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Communicate Clearly
Since you'll be working closely with analysts and stakeholders, practice explaining complex technical concepts in simple terms. Think of a few scenarios where you successfully translated business needs into technical solutions.
✨Embrace Ambiguity
This role requires a 'zero-to-one' mindset, so be ready to discuss times when you thrived in uncertain situations. Share how you approached building something new without a clear roadmap, and what strategies you used to navigate through ambiguity.
