Air Liquide
Gases, Technologies and Services for Industry and Health
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Air Liquide. Skills: Data pipeline architecture, AI data extraction, GUI development, Data optimization. Solidify data structure choices. Automate data extraction”
Industry & Context.
Problem-solving mindset
What They're Looking For.
Must Have
Master’s degree in Data Engineering, Master’s degree in Computer Science, Extensive experience in data mining, Extensive experience in automated document extraction, Extensive experience in database structuring, Extensive experience in pipeline architecture, Proven hands-on experience with Cloud platforms, English business level required
Nice to Have
Knowledge in chemistry appreciated, Knowledge in organometallics appreciated, Knowledge in semi-conductor processing appreciated, Japanese conversational level preferred
What You'll Do.
Solidify data structure choices
Automate data extraction
Structure extracted data
Feed end-user applications
Build user-friendly GUI
Develop statistical exploration methods
Prevent computational bottlenecks
Deliver timely updates
Contribute to safety activities
Contribute to cybersecurity activities
How You'll Work.
Team & Collaboration
Internal meetings; Internal users; Team members
Communication Scope
Concise updates; Internal meetings
Full Job Description
Air Liquide Laboratories is one of the main R&D centers of the Air Liquide group. Its goal is to develop new and innovative solutions for the entire Air Liquide group. Air Liquide Laboratories is located at Innovation Campus Tokyo, inaugurated in March 2019. The new facility promotes collaboration with customers, start-up companies and academic partners. It gathers researchers and workers from all around the world in order to promote a multicultural work environment and skills diversity. The Campus develops the latest thin film deposition and etching technologies for applications in electronics, batteries and fuel cells, as well as strategies and solutions for the entire supply chain, production, purification, storage, transportation and distribution of low carbon hydrogen. Automate and scale the extraction of scientific and technical data from unstructured documents using advanced AI technologies. ## How will you CONTRIBUTE and GROW? The main responsibilities will be: * Pipeline Architecture: Solidify data structure choices to enable static batch extraction from diverse formats. * Extraction: Leverage the latest AI technologies to automate data extraction. * Data Formatting & UI Integration: Structure extracted data to seamlessly feed end-user applications. * Tool Development: Build a user-friendly graphical user interface (GUI) for non-data scientists to validate data, create an export tool based on data attributes. * Algorithmic Optimization: Assist in developing statistical exploration methods with smart, data-driven sampling and prevent computational bottlenecks. * Reporting & Collaboration: Deliver timely and concise updates in internal meetings. * Safety: Join and actively contribute to safety and cybersecurity activities within ALL. 職務内容 * データ処理の仕組み（パイプライン）づくり:様々な形式のデータを取り込めるよう、最適なデータの持ち方を設計し、安定して動くデータ処理の土台を構築します。 * AIを活用したデータ抽出の自動化:最新のAI技術を駆使して、ドキュメントからのデータ抽出作業の自動化をリードします。 * データの整形とシステム（UI）連携:抽出したデータを、社内のユーザーが使うアプリケーションへスムーズに連携できるよう、扱いやすい形に整理・加工します。 * 社内向けツ
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