Data Engineer

This data engineering role supports an AI-native financial advice and sales service being developed by Painter, a financial services startup established by NEC. The work focuses on building data foundations that enable reliable, explainable and continuously improving AI advice for individual customers.

Responsibilities include designing knowledge graphs and data models, designing databases for the financial domain, and establishing data governance covering consent management and log collection. The role also designs data flows for collaboration between AI Agents and people, data loops for continuous learning, system architecture, and technology selections. The position covers both initial design and the operational mechanisms needed to maintain the data foundation.

The required background includes practical experience processing and transforming data with SQL or Python; practical experience designing databases or data models using relational databases; experience building data platforms or data pipelines in cloud environments; and experience organizing requirements, considering architecture, and defining implementation approaches. Candidates must also have foundational knowledge of data management topics such as personal information, audit logs and access control, plus experience building data-utilization platforms in cooperation with multiple departments.

Preferred experience or knowledge includes knowledge graphs, graph databases and ontology design; data use, product recommendations or compliance in financial services; system or operations design using generative AI, LLMs or AI Agents; MLOps, DataOps or continuous-learning platforms; AI governance topics such as consent management, explainability and inference-log management; and technology selection or platform launch experience in new businesses, proofs of concept or zero-to-one phases. The posting also values people who understand how data creates customer value, can work in environments without established answers, connect technology with business and customer value, investigate operational issues and form their own hypotheses, and approach the financial domain responsibly.

The position is expected to be full-time and is intended for Professional level, equivalent to section manager, through Senior Professional level, equivalent to department manager. Annual compensation is approximately 9.3–12.0 million yen for Professional level or 10.7–14.0 million yen for Senior Professional level, with monthly salary ranges of approximately 580,000–800,000 yen or 670,000–920,000 yen respectively. Previous compensation is considered and company rules apply.

The workplace is the company headquarters in Minato, Tokyo. Remote work is possible approximately one day per week. The expected progression is to design the initial data model within three months, establish consent and log-management frameworks over about six months, and then expand into continuous-learning data loops, operational improvement, and service scaling. Possible subsequent career paths stated in the posting include data architect, AI product development lead, data governance leader and technology leader for a new business. Duties and work location may be changed within the scope designated by the company, including applicable telework locations.