SDV Data platform Development Engineer

Job Description

Architectural design, construction, maintenance, operation, and promotion of an engineering data platform.

1. Data Platform Architecture Design: Responsible for designing cloud-based data platforms and data pipelines.

2. Data Modeling Design: Responsible for data modeling, data catalog, and metadata design and operation, primarily for development data.

3. Core Member of Data Governance Team: Responsible for leading governance management and compliance with various regulations including GDPR.

Appeal Points

1. Self-growth, Acquirable Skills, and Job Satisfaction through Work

This position allows you to be involved in data platform development for SDV (Software Defined Vehicle) realization and value creation through data. This work will determine the future value and competitiveness of automobiles.

You can experience the world realized by SDV: "New functions and content are constantly updated and installed in cars, making them more attractive and personalized day by day. Services utilizing car data make life more convenient." You can feel that you are contributing to the realization of this world. This is a new challenge for an automobile company, allowing you to think of more flexible proposals and discuss strategies and processes with a wide range of departments. You can experience building new services and creating value based on data-driven analysis, using data related to development worldwide and data from vehicles sold worldwide.

2. Future Career Paths and Positions

Based on your current skills, you can become a pioneer in developing data business in the automotive sector. You can also acquire skills in technical roadmap and new process planning and proposal, as well as project management, by building methods and operational procedures to provide value to customers, allowing you to build a career in both technical and management aspects according to your wishes.

Required Qualifications (Experience/Qualifications)

MUST

Must have practical experience (3 years or more) in any of the following, and have team leader experience:

• Strategy formulation for data utilization, data service design, data governance design.
• Data management, data modeling, database construction, data analysis methods/tool utilization.
• Data lake/data warehouse design, construction, operation.
• BI tools, machine learning tools design, construction, operation.
• Development experience utilizing cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform).
• TOEIC: 550.

WANT

• Development experience with DataOps/DevOps.
• Proficiency in business data (especially manufacturing, automotive industry).
• Development experience related to data regulations (e.g., GDPR, CCPA, Data Act).

Desired Candidate Profile

• Enjoys imagining things and concepts that do not yet exist in the world and creating ways to realize them.
• Has a learning attitude and eagerness for everything, and is not afraid to challenge new things.
• Can continue efforts without giving up on difficult challenges.
• Can actively communicate while accepting different cultures and opinions.
• Can gauge the other party's understanding and proceed with discussions until a common understanding is reached.
• Has the vitality to discuss on equal terms with superiors.
• Has a high interest and knowledge in technology trends.
• Can proactively move forward and challenge positively and actively.

Compensation

• Annual income range: Monthly salary (reference value) 230,000 JPY - 439,000 JPY.
• Determined comprehensively considering experience and expertise.
• Estimated annual income (reference value): Approximately 4.1 million JPY - 7.8 million JPY.
• Monthly salary × 12 months + bonus (estimated value).
• Bonus amount is a reference value; actual payment timing, amount, and payment conditions will be determined separately.
• Overtime allowance, etc., will be paid separately based on employee wage regulations.