Data Engineer

Dabster; Bournemouth; On-site; GBP 50,000 - 75,000; Full time

Job summary

A leading recruitment agency is seeking a skilled Data Engineer in Bournemouth, UK. The successful candidate will develop AIML solutions for Test Automation and contribute to applications using Generative AI and Retrieval Augmented Generation. Responsibilities include building test solutions and integrating advanced models. Candidates should have a strong background in AIML, Python, and software testing. This mid-senior level position offers the opportunity to work onsite with industry leaders in technology.

Qualifications

• Solid knowledge of AIML and Python is essential.
• Proven ability to develop Generative AI solutions focused on software testing.
• Experience with Large Language Models like GPT or Claude.
• Hands-on experience with GitHub Copilot is required.
• Strong understanding of automated testing frameworks.

Responsibilities

• Develop and implement AIML solutions for Test Automation.
• Build AIML solutions for Test Generation and Prioritization.
• Participate in Agile processes including sprint planning and retrospectives.

Skills

AIML

Python

Generative AI

Retrieval Augmented Generation

GitHub Copilot

Docker

Kubernetes

React

NLTK

NumPy

Scikit-learn

Pandas

SQL

Agile

Education

Bachelor’s degree in Computer Science or related field

Job description

Dabster Bournemouth, England, United Kingdom

About Us

At Dabster, we specialize in connecting top talent with leading global companies. We are currently seeking a skilled and dedicated Data Engineer to join our client's team in Bournemouth, UK (Onsite). Our mission is to be the foremost recruitment specialist in securing exceptional talent for a diverse range of global clients.

Who You Will Work With

Our client is a globally recognized technology company delivering IT services, consulting, and business solutions. They partner with leading organizations worldwide to drive digital transformation, leveraging innovation and deep industry expertise to solve complex business challenges.

Job Description

• Large Language Models (GPT, Claude), Generative AI, Retrieval Augmented Generation.
• Agentic AI, CoPilot, MCPs.
• AIML Algorithms (Regression, Classification, Decision Trees, KNN, K‑Means).

Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail building AIML Solutions for Test Generation, Test Prioritization, Defect Triage/Reporting, Code Coverage, Framework Migration/Setup. The role requires experience in AIML (LLMs, Gen AI & Agentic AI) & Python.

Qualifications

• Knowledge of AIML & Python is must.
• Ability to develop and implement Generative AI & Retrieval Augmented Generation solutions focused on software testing.
• Experience with Large Language Models (GPT, Claude).
• Hands‑on experience with GitHub Copilot.
• Must be a regular user of Agentic AI solutions and MCPs.
• Deployment experience with Docker & Kubernetes to deploy the AIML solutions is good to have.
• Front End experience in React to build front end for the AIML solutions is a plus.
• Hands‑on experience with Python libraries like NLTK, NumPy, Scikit‑learn, Pandas.
• Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K‑Means) is preferred.
• Experience with building, training & finetuning AIML models is a plus.
• Bachelor’s degree in Computer Science or related field of study or equivalent relevant experience; demonstrated experience of Data Science & AIML with focus on quality assurance solutions.
• Lifecycle principles and quality assurance processes and methodologies.
• Experience with automated testing with good understanding of test automation frameworks.
• Good grasp of SQLs.
• Experience of working in an Agile environment, participating in sprint planning, backlog refinement, and retrospectives.
• Must have excellent verbal and written skills being able to communicate effectively on both a technical and business level.

How to Apply

Apply by submitting your resume today, showcasing your relevant experience and passion for the position via LinkedIn Easy Apply or directly to [e-mail].

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Technology, Information and Media

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