Based in Kawasaki, Japan, Mitsubishi Fuso Truck and Bus Corporation (MFTBC) is one of Asia's leading commercial vehicle manufacturers, with 89.29% of its shares owned by Daimler Truck AG and10.71% by various Mitsubishi group companies. An icon in the Japanese commercial vehicle industry with a longstanding history of 90 years with its Fuso brand, MFTBC manufactures a range of commercial vehicles including light, medium, and heavy-duty trucks and buses, and industrial engines for over 170 markets worldwide. In 2017, MFTBC introduced the eCanter, the first all-electric light-duty truck in series-production and in 2019, the Super Great – Japan’s first heavy-duty truck fitted with Level 2 Automated Driving Support Technology, a benchmark in the Japanese commercial vehicle market. MFTBC operates under the umbrella of Daimler Truck Asia, together with its partner organization Daimler India Commercial Vehicles (DICV) in India. This strategic unit allows the entities to collaborate on areas such as product development, parts sourcing and production to provide the best value to customers.

By Combining Japanese tradition and the global power of Daimler, Mitsubishi Fuso provides unparalleled experience in a world leading company. This means that you will associate with global business partners every single day.

Moreover, we have a hybrid work policy that gives employees permission to work from home or at the office which gives them flexibility in their working style.

Introduction of IT

We at ITA (IT Truck Asia Fuso & DICV) take care of digitally enabling our business partners and ensuring business continuity be developing and maintaining new IT systems.

Be it our Production systems that keep our production and operations running, our Finance systems that run our accounting and controlling processes or our Sales systems that capture customer and sales data – we at IT manage all of those.

We work closely with the business partners to accelerate digital transformation by optimizing existing systems and speeding up processes.

We do this by defining new approaches to business models that generate deeper insights and provide predictive solutions for the business.

Job Description

Your Role and Responsibilities:

• Design, manage and steer the design, architecture, framework of our Big Data Infrastructure and Solutions to be created in alignment with existing infrastructure and solutions und international agreements.
• Have constant communication with the Engineers & Architects globally to set up best practices in data analytics & Engineering locally including tracking of Microsoft Azure ecosystem evolution.
• Set up and manage Data Ingestion Process for Data needed for big Data solutions and projects.
• Set up and manage solution design and implementation & new feature introduction.
• Development and maintenance of distributed data pipelines for ETL.
• Building frameworks and tools (Python, Pyspark, SQL, Databricks) to process data and generate modeling data more efficiently.
• Build and manage data modeling for structural, semi-structured and nonstructured data.
• Build and manage artificial, automatic or analytical solutions and development for any Data related service or engine.
• Research and promote new ways of data engineering within the team, cultivate a constant flow of information and a learning environment for the data scientists.

Practical Knowledge and Experience

• 5+ years of experience in the area of big data & advanced analytics/data analysis as an engineer or architect
• 3+ years’ experience in the area of Microsoft Azure Analytics Cloud Solutions, development, implementation & new feature evolution process

Specialized Knowledge

• Experience in Databricks, Pyspark, SQL and management of vendors.
• Experience in the Data Ingestion Process on above mentioned environments for 1st, 2nd and 3rd party data.
• Experience in the design, management and steering architecture & framework of a tagging and recommendation engine e.g. DMP (data management platform) development, management & development including tagging, analytics & recommendation engine.
• Experience in the development and maintenance of distributed data pipelines for ETL.
• Experience building frameworks and tools (mostly Databricks, Python, SQL, Pyspark) to process data and generate modelling data more efficiently.

Personal Skill Requirement

• Establish strong relationships and communicate with a wide array of colleagues in different locations.
• Integration of all stakeholders in overall processes in order to solve occurring issues as quickly as possible.
• Be able to communicate about highly complex data topics in easy and understandable ways.

Language Requirements

• Fluent in English, Japanese is a plus.