AI Data Engineer in Cheltenham

AI Data Engineer in Cheltenham

Cheltenham Full-Time 45000 - 65000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and maintain data pipelines that power our AI engines and client platforms.
  • Company: Join a cutting-edge AI company with a focus on innovation and collaboration.
  • Benefits: Competitive salary, flexible working, private healthcare, and a generous professional development budget.
  • Other info: Enjoy a high-trust culture with excellent career growth opportunities.
  • Why this job: Make a real impact by ensuring data quality and reliability in exciting AI projects.
  • Qualifications: Strong Python skills and experience with SQL and data pipelines are essential.

The predicted salary is between 45000 - 65000 £ per year.

Our AI engines (Owlpen (cost intelligence), Flint (system integration), and Warden (sales & CX intelligence)) are only as good as the data that feeds them.

As an AI Data Engineer, you will own the pipelines, transformations, and data architecture that sit beneath our products and power our client‑facing platforms.

You will work closely with our data scientists, software engineers, and client‑facing teams to understand what data is needed, where it lives, how to clean it, and how to get it moving reliably at scale.

Some of your work will be deep internal infrastructure; some will be client‑facing, deploying pipelines directly into their environments.

This is a role for someone who takes real pride in data quality and pipeline reliability, someone who gets quietly frustrated when a job fails silently, and who proactively builds monitoring and alerting rather than waiting to be asked.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows that feed our AI engines and client dashboards.
  • Integrate with diverse data sources: APIs, Saa S platforms (CRM, ERP, marketing tools), databases, and flat files.
  • Ensure data quality, lineage, and consistency across all pipeline stages.
  • Implement monitoring, alerting, and automated testing.
  • Work with data scientists to operationalise ML models and ensure inference pipelines are production‑ready.
  • Support client engagements by deploying data infrastructure into client environments, on‑site where required.
  • Contribute to the architecture and evolution of our internal data platform.
  • Document all pipelines, schemas, and transformation logic to ISO9001 standards.
  • Ensure all data handling complies with UK GDPR and client‑specific data agreements.

Essential requirements

  • Strong proficiency in Python for data engineering tasks (Pandas, Polars, SQLAlchemy, or equivalent).
  • Hands‑on experience with SQL and modern data warehouses (Big Query, Snowflake, Redshift, or similar).
  • Experience building and maintaining data pipelines using orchestration tools (Airflow, Prefect, dbt, or similar).
  • Working knowledge of REST APIs and experience integrating with third‑party Saa S data sources.
  • Understanding of data modelling principles and schema design.
  • Right to work in the United Kingdom.

Desirable

  • Experience with streaming data pipelines (Kafka, Pub/Sub, or similar).
  • Familiarity with vector databases and embedding pipelines for LLM applications.
  • Exposure to cloud infrastructure (GCP, AWS, or Azure) and infrastructure‑as‑code.
  • Experience working in an ISO27001‑certified environment or with sensitive client data.
  • Prior consulting or client‑facing experience.

What we offer

  • Salary of £45,000–£65,000 per annum, dependent on experience, reviewed annually.
  • 28 days annual leave plus bank holidays.
  • Flexible hybrid working, Cheltenham HQ or fully remote (UK‑based).
  • Private healthcare and employee assistance programme (EAP).
  • £2,000 annual professional development budget.
  • Access to cutting‑edge AI tooling and compute resources.
  • Regular team offsites and an annual international travel programme.
  • High‑trust, outcome‑focused culture.
  • Accredited Living Wage Employer.
  • #J-18808-Ljbffr

AI Data Engineer in Cheltenham employer: Coaley Peak Ltd

At Coaley Peak Ltd., we pride ourselves on fostering a dynamic and collaborative work environment where innovation thrives. As a Strategic B2B Outbound Growth Executive, you will benefit from our commitment to employee development through tailored training programmes and mentorship opportunities, all while enjoying the vibrant culture of our location that encourages creativity and teamwork. Join us to make a meaningful impact in a company that values quality relationships and empowers you to excel in your career.

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Contact Details:

Coaley Peak Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Data Engineer in Cheltenham

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Coaley Peak Ltd!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Data Engineer at Coaley Peak Ltd.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Coaley Peak Ltd.

Apply Directly through Our Website

When you find a suitable opening like AI Data Engineer at Coaley Peak Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI Data Engineer in Cheltenham

Python
SQL
Problem-Solving Skills
Automation
Communication Skills
Data Engineering
Data Pipeline Development

Some tips for your application 🫡

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Coaley Peak Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Coaley Peak Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Coaley Peak Ltd

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!

Showcase Your Projects

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

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Coaley Peak Ltd!

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.