Data Engineer

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Type: permanent

Location: Gateshead

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"At KCS we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work."

Join our company as a Data Engineer and be part of a team developing innovative new products that integrate cutting-edge NLP, search, and AI technologies. You'll have the chance to shape exciting new projects that will have a real impact on the business and its future. We are looking for someone passionate about data engineering who thrives in a collaborative and dynamic environment.

Key Responsibilities:

Design and implement scalable data pipelines to process large datasets efficiently. Build and maintain robust, high-performance APIs leveraging natural language processing frameworks (e.g., SpaCy, NLTK, Gensim) for entity recognition and semantic analysis, ensuring they can handle high-volume usage. Develop advanced search technologies optimized for faceted search, real-time data querying and retrieval, ensuring high performance. Collaborate on integrating backend data solutions with our internal Django application. Ensure data security, privacy, and compliance with standards such as GDPR. Contribute to the development of AI-powered systems, including chatbot integrations using the latest advancements in language models (LLM). Stay up to date with emerging trends and tools in data engineering, NLP, and AI. Ability to work in a fast-paced, agile environment, collaborating with cross-functional teams.

Required Skills & Qualifications:

Strong proficiency in Python with a focus on data engineering and natural language processing using libraries such as SpaCy, NLTK, Gensim, or similar. Experience with Large Language Models (LLM) and their integration into data systems. Experience with SQL databases (Oracle, MSSQL). Proven ability to build and integrate RESTful APIs that are robust and optimized for high-volume, data-driven applications. Familiarity with cloud infrastructure (Azure, AWS, GCP) for scalable data storage and processing. Strong understanding of GDPR and data privacy best practices. Knowledge of modern search technologies optimized for large datasets and fast retrieval.

Company Info

Kerridge Commercial Systems (KCS) is the market leader in developing and delivering fully integrated business management solutions for distributors, suppliers, resellers, wholesalers and merchants. Our mission is simple: to design, implement and support high performance systems that enable our customers to source effectively, stock efficiently, sell profitably and service competitively.

Equal Opportunities

KCS is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires us to adjust the recruiting process please do advise us when contacted.

If this role is of interest to you please apply online.

Health and Safety

The Health and Safety at Work Act 1974 puts a legal obligation on KCS as an employer to ensure, so far as is reasonably practicable, the health, safety and welfare of its employees at work.

Employees also have a duty to take reasonable care for their own health and safety and of others who could be affected by their actions. Understanding the safety policies and co-operating with the arrangements that are in place is therefore an essential part of your employment.

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