Senior Data Engineer at ARM Treasure Data

Tokyo, Tokyo, Japan -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Pipelines, Data Governance, Data Regulation Compliance, Workflow Orchestration, Business Intelligence, AI Technologies, Data Integrity, Asynchronous Communication, Continuous Growth, Data Analysis, Data Visualization, Stakeholder Engagement, Technical Tools, Data Products

Industry

Software Development

Description

Treasure Data: At Treasure Data, we’re on a mission to radically simplify how companies use data and AI to create connected customer experiences. Our intelligent customer data platform (CDP) drives revenue growth and operational efficiency across the enterprise to deliver powerful business outcomes. We are thrilled that Forrester has recognized Treasure Data as a Leader in The Forrester Wave™: Customer Data Platforms For B2C. It's an honor to be acknowledged for our efforts in advancing the CDP industry with cutting-edge AI and real-time capabilities. Furthermore, Treasure Data employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility. We seek a Senior Data Engineer with extensive technical expertise who excels in collaboration. This role requires designing, implementing, and refining data solutions that drive informed decision-making. Your contributions will be integral to achieving our mission of "zero untapped opportunity with data." Our Data team owns the business intelligence that powers our organization. Their work is diverse, from crafting dashboards to directly engaging with stakeholders. We are looking for someone with a proven track record and a genuine passion for their work. Responsibilities & Duties: Things you will do Analyzing and organizing data in different stages; Building and orchestrating data pipelines to deliver reliable data and products; Working with stakeholders from various perspectives to evaluate business needs; Building reports, visualizations and interpreting trends and patterns; Keep up to date on novel technical tools and concepts that we should adopt; Architecting a data pipeline for quality by defining and implementing data integrity tests; Along with the rest of the team, own and operate the data products that you built; Required Qualifications: Your background and skills include: Extensive experience working with distributed query engines using SQL; Experience in SQL composition frameworks like dbt; Experience in Python; Designing and building data pipelines with reliability and operations in mind; Strong asynchronous communication skills with a remote team across time zones; Demonstrated initiative to stay abreast of technology advancements; A history of continuous growth and improvement; We would be thrilled if you: Have previous experience working with data, data governance, and data regulation compliance; Have experience in workflow orchestration tools; Have contributed to a production-level code; Have experience in developing a fully managed cloud service; Have experience with integrating Business Intelligence tools; Have keen interest in and track record of adopting AI technologies to enhance productivity; Physical Requirements: 3 days at Treasure Data Office About Treasure Data: Treasure Data is the Intelligent Customer Data Platform (CDP) built for enterprise scale and powered by AI. Recognized as a Leader by Forrester and IDC, Treasure Data empowers the world’s largest and most innovative companies to deliver hyper-personalized customer experiences at scale that increase revenue, reduce costs, and build trust. Through unique capabilities such as the Diamond Record, AI Agent Foundry, and AI Decisioning with Real-Time Personalization, Treasure Data enables marketing and CX teams to personalize cross-channel engagement in real-time, optimize marketing spend while increasing ROI, and drive customer lifetime value through more intelligent retention and loyalty. Our Dedication to You: We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives. Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it. Agencies and Recruiters: We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!

Responsibilities

The Senior Data Engineer will analyze and organize data, build and orchestrate data pipelines, and work with stakeholders to evaluate business needs. They will also be responsible for creating reports and visualizations while ensuring data quality and integrity.