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Data Engineer / AI Engineer
Reads like a Data Engineer role: pipelines and data infrastructure.
Avis Budget House, HQ
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
On-site — work setting source
Job Title: Data Engineer / AI Engineer Location: Bracknell, minimum of 3 days in office Role Overview
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingAs 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.
Write clean, well-documented Python and SQL code with a focus on performance, maintainability, and reusability.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Avis Budget Group is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- dbt
- S3
- Snowflake
- Airflow
- pandas
- PySpark
Where the posting names them
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.
- 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).
- 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.
- 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.
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.
- 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. Avis Benefits
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Title: Data Engineer / AI Engineer
Location: Bracknell, minimum of 3 days in office
Role Overview
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.
Avis Benefits
- 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
Source details
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- Location & working pattern
Avis Budget House, HQ
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