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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (AI) - London - **Company:** gb Medpace - **Location:** London, UK (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Artificial Intelligence, Software Applications, Microsoft Azure, C Sharp (Programming Language), Databases, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Warehousing, Python (Programming Language), Natural Language Processing, Software Engineering, Software Systems, Verification and Validation (Software), SQL Databases, Data Streaming, Unstructured Data, Azure Data Factory, Large Language Models, Snowflake, Data Lakes, Information Technology, Star Schema, Restful APIs, Software Version Control - **Published:** August 15, 2026 - **Apply:** https://www.totaljobs.com/job/data-engineer/medpace-job107846285 ## About the Role * Bachelor's Degree in Computer Science, Data Science, or a related field; * 1-3+ years of experience in Data Engineering; * Background in working with AI tools that support areas such as data extraction and natural language processing and handling of varied unstructured content into structured meta-data; * Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; * Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; * Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred; * Knowledge of REST API; * Good knowledge of SQL Server databases and Python programming language is required; * Knowledge of C# is a bonus as is working with Azure data fabric; and * Excellent analytical, written and oral communication skills ## Description Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our AI team. This position will work on a team to accomplish tasks and projects that are instrumental to the company's success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you. Responsibilities * Utilize skills in handling of more unconventional data such as unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); * Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data into a data lake; * Participate in the Natural Language Processing (NLP) extract of unstructured data into structured meta-data through the use of tools such as Semantic understanding and meaning (Python, use of REST API); * Support ensuring the data flow of any external content coming in is handled to the latest US and EU AI Acts concerning AI which includes security, confidentiality and privacy of PHI; * Collect, analyze and document user requirements working with AI engineers to align data sources to downstream integration within systems; * Create software applications that support the understanding and visualization of data flows from inception to derivation whilst maintaining version control by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance; * Participate in software validation process through development, review, and/or execution of test plan/cases/scripts; * Communicate with team members regarding projects, development, tools, and procedures; and * Provide end-user support including setup, installation, and maintenance for application ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)