This role contributes to the design, operation, and continuous improvement of GLAD, the firm’s liquidity and regulatory data platform. Responsibilities include developing and supporting the platform, maintaining data pipelines for liquidity risk and regulatory reporting, and collaborating with business users, global Technology teams, and DevOps.
This Data Infrastructure Engineer will design, build, and optimize high-performance data infrastructure and pipelines, transforming raw, unstructured data into reliable, scalable, and accessible systems. The role includes improving ETL processes and data quality, exploring new technologies, and working with data scientists, analysts, and product teams to support data-driven decision-making.
You will lead the renewal and integration of internal core systems, including accounting and SFA/CRM systems, and the construction of a company-wide data hub. The role covers requirements definition, system and architecture design, implementation, and release, as well as DX promotion in back-office domains.
The Platform Engineer will lead the zero-base construction of a company-wide data hub integrating accounting and SFA/CRM systems. The role includes technical leadership of system renewal and integration projects, back-office DX, and architecture improvements for governance and future scaling.
Lead detection engineering for Cyber Defense Operations, building Detection-as-Code pipelines and AI/LLM-driven detection capabilities. The role includes implementing eBPF-based runtime monitoring, threat hunting and attack simulations, deception technologies, and integrating detection logic with SOAR.
AI Transformation(AX) リードエンジニアとして、ビジネス側の背景を汲み取ったAIソリューションの企画から、AIの技術を用いた安定的な運用基盤の構築までを垂直統合でリードしていただきます。また、既存システムのAIによる構造化や、非エンジニアへの教育を含めた「組織のAI司令塔」としての役割もお任せします。
Vị trí Data Engineer thiết kế cách thu thập, tích hợp và kiểm chứng dữ liệu doanh nghiệp để dữ liệu được cả con người lẫn AI sử dụng. Công việc bao gồm xây dựng pipeline và DAG Airflow, xử lý dữ liệu với Databricks/Delta Lake, dbt và Terraform, đồng thời đảm bảo chất lượng dữ liệu và phân phối dữ liệu cho ứng dụng, API, CRM và AI agent. Ngôn ngữ làm việc của đội engineering là tiếng Anh; công việc hoàn toàn từ xa.
The Data Platform Engineer will design and lead the data foundation and platform architecture supporting search, analytics, compliance, and AI products for VISASQ’s Global Expert Network Service. The role covers data modeling, entity resolution, data cleansing, ongoing data quality assurance, and technical decision-making with the CTO and engineering teams.
As a Senior Data Engineer on the MIDAS Data Platform Team, you will build and maintain a central data hub connecting systems across a digital bank. The role includes developing data pipelines and models, ensuring data quality and reconciliation, and serving downstream analytics, reporting, and risk use cases. You will also participate in platform architecture decisions, mentor mid-level engineers, and support end-of-day data collection aligned with Zengin settlement timing.