Data Engineer / AI Engineer

Hybrid in the UK·Full-time·Added today (last checked 4 Nov)

Avis Budget Group

21 open roles

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Our summary

Work mode: Hybrid, the UK
Contract: Full-time
Experience: 3+ years
Holiday: 33 days holiday inc. bank holidays

Skills

Nice to have

Requirements

What we're looking for

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.

Pay & benefits

What you'll get

33 days holiday inclusive of bank holidays
Employee Assistance Programme (EAP) provided by Health Assured - 24/7 support for your mental health and wellbeing
Employee discounts on car rental across Avis Budget Group
Pension contribution
Friends and family discount
Bracknell HQ has free parking and access to a small onsite gym

BracknellBracknell ForestUnited Kingdom

The role

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 do

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.