Data Engineer (AI) - London

Medpace
Epsom, UK
2 days ago
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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
+9 more
Software Engineering Verification and Validation (Software) Data Streaming Azure Data Factory Snowflake Information Technology Star Schema Restful APIs Software Version Control

Job description

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

Requirements

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 #J-18808-Ljbffr

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