Data Engineer

Dabster Bournemouth, England, United Kingdom

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.

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.

• 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.

• 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 Git Hub 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, Num Py, Scikit‑learn, Pandas.
• Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K‑Means) is preferred.
• Experience with building, training & fine tuning 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.

Apply by submitting your resume today, showcasing your relevant experience and passion for the position via Linked In Easy Apply or directly to

Mid‑Senior level

Full‑time

Information Technology

Technology, Information and Media

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