Data Engineer (AI) - London

Medpace, Inc.; City Of London; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Flexible work environment

Competitive compensation and benefits package

Competitive PTO packages

Career growth opportunities

Employee appreciation events

Health and wellness initiatives

Job summary

Medpace, Inc. is looking for a full-time, office-based Data Engineer to join our AI team. This position involves working collaboratively to manage unstructured data and contribute to projects crucial to our success.

Ideal candidates will hold a Bachelor's degree in Computer Science or related fields, with experience in Data Engineering and familiarity with tools like Snowflake and Python. The role offers a dynamic work environment and opportunities for professional growth.

Qualifications

• 1-3+ years of experience in Data Engineering.
• Experience with AI tools for data extraction and NLP.
• Solid ETL development and reporting knowledge.

Responsibilities

• Handle and train Large Language Models (LLMs) in ETL of data.
• Ensure compliance with US and EU AI Acts on data handling.
• Create applications for data flow understanding and visualization.

Skills

Handling unstructured data

Data modeling

NLP

SQL

Python

Education

Bachelor's Degree in Computer Science or Data Science

Tools

Snowflake

Azure

REST API

Job description

Job Summary

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.
• Provide end-user support including setup, installation, and maintenance for application.

Qualifications

• 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.
• Excellent analytical, written and oral communication skills.

Medpace Perks

• Flexible work environment
• Competitive compensation and benefits package
• Competitive PTO packages
• Structured career paths with opportunities for professional growth
• Company-sponsored employee appreciation events
• Employee health and wellness initiatives