Data Engineer (AI) - London

gb Medpace
London, UK
12 days ago
Apply on www.totaljobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

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
+14 more
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

Job 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

Requirements

  • 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

Benefits & conditions

  • Office based environment with on-site mentors
  • Defined career paths with clear advancement opportunities
  • Industry renowned onboarding and training programs designed to accelerate professional development
  • Ongoing training and continuous learning opportunities throughout your career
  • An environment that encourages employees to influence change, contribute ideas, and grow quickly

Other Employee Benefits *

  • Competitive compensation programs that recognize and reward performance
  • Comprehensive health, wellness, retirement, and PTO benefits
  • Office based culture with occasional WFH that provides flexibility for eligible positions after training
  • Company-sponsored social events

Please note benefits may vary based on country.

About the company

Medpace is a full-service clinical contract research organization (CRO) providing phase l-lV clinical development services to the biotechnology, pharmaceutical, and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through the advancement of clinical research. We leverage in-country regulatory and therapeutic expertise across all major therapeutic areas including oncology, cardiology, metabolic, endocrinology, central nervous system, and anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, we employ more than 6,500 people across 40+ countries. Why Medpace?

When you join Medpace, you become part of an innovative team that brings cutting-edge therapies to market while building a meaningful and rewarding career focused on scientific excellence and improving patient outcomes around the world through continuous learning and cross-functional collaboration.

Purpose-Driven Work *

  • Work alongside physicians, scientists, and industry-leading experts committed to advancing the global development of medical therapeutics through clinical research excellence

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.totaljobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all

Related articles

See all