Senior Data Engineer at Explorium

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

04 Apr, 26

Salary

0.0

Posted On

04 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, Data Pipelines, Feature Engineering, Data Quality, Databases, SQL, NoSQL, Cloud Computing, AWS, GCP, Machine Learning, Large Language Models, Data Lakes, MCP Servers, TypeScript

Industry

Software Development

Description

Explorium is a cutting-edge AI and data science company revolutionizing how businesses leverage data for intelligent decision-making. Explorium offers a first-of-its-kind AI-powered data science platform that combines augmented data discovery with cutting-edge feature extraction using Large Language Models, advanced AI agents, and intelligent automation. By automatically connecting to thousands of external data sources and leveraging machine learning to distill the most impactful signals, Explorium’s platform empowers data scientists and business leaders to drive decision-making by eliminating the barrier to acquire the right data and enabling superior predictive power through conversational AI tools. We are looking for a talented Data Engineer with a passion for data and complex problems. As a Data Engineer, you will join a diversified engineering group consisting of Data Engineers, Machine Learning Engineers, and AI Application Infrastructure specialists who build robust backend services for AI-powered solutions. You will work on data pipelines varying from entity resolution systems to unstructured textual datasets to create unique datasets, classification engines and specialized inference systems. You will implement both infrastructure and serving capabilities, with a key role in Explorium's Data Organization, responsible for collecting, integrating and serving high quality features for machine learning models and building MCP (Model Context Protocol) servers that enable seamless AI application integration. At Explorium we believe strongly in personal and professional development, constantly researching new technologies and methodologies. Responsibilities: Work closely with business and research teams to deliver high quality results to customers and partners through AI-powered solutions Design and implement complex end-to-end data pipelines including data extraction, feature engineering, data quality and data serving Work with Large Language Models and AI agents to deliver high scale, high quality features for customers Build and maintain MCP servers and AI application infrastructure Take ownership of a true research project from POC to production Contribute to a wide variety of projects using a range of technologies and tools If you are someone that thrives in a fast-paced environment where being self-directed, creative and determined are a requirement, we would love for you to join us Requirements 3+ years of industry experience with building data-intensive platforms 3+ years of hands-on experience programming in Python Experience with working with complex data sets Experience with Databases, SQL and NoSQL, and Data modeling Experience working with cloud compute and storage services on AWS/GCP/Cloudflare Experience with TypeScript programming - advantage Experience with building Machine Learning models - advantage Experience with building with LLMs or transformer models - advantage Experience with designing data lakes - advantage Experience with building MCP servers - advantage

Responsibilities

The Data Engineer will design and implement complex end-to-end data pipelines and work closely with business and research teams to deliver AI-powered solutions. They will also take ownership of research projects from proof of concept to production.