Data Engineer @ Komatsu

Komatsu is one of the largest worldwide manufacturers of construction, mining and utility equipment, and also delivers forest machines and logistics. They have manufacturing operations across the globe, including in Japan, Asia, America and Europe. Komatsu has been present in Europe since 1967, where they have several production plants. The headquarters of Komatsu Europe is located in Vilvoorde.

KEISA:

Komatsu Europe International, located in Vilvoorde, is the European Headquarter of the Komatsu Group, which is based in Tokyo, Japan.

After first being located in Antwerp and Haren (Brussels), KEISA was set up in Vilvoorde in 1973. They import and distribute Komatsu construction, mining and utility equipment to European and North African countries and supervise European legal and financial operations.

KEPO:

Komatsu Europe Parts Operation is the Parts Distribution Center for Europe, the Middle East and Africa. Stocks of Komatsu Genuine Parts and consumables are maintained centrally at the KEPO warehouse, in Vilvoorde. A sophisticated central parts system is directly linked to Komatsu Sales and Service Organizations across Europe, Africa and the Middle East.

Currently there are almost 300 people working at the Komatsu Europe Headquarters and Parts distribution center in Vilvoorde: technical experts, sales profiles, logistic and administrative staff, etc.

These people come from wide-ranging backgrounds and jobs, and share common characteristics such as perseverance, commitment, analytical skills, efficiency and trustworthiness: the very image of Komatsu machines.

The Data Engineer role exists to ensure reliable, secure, and business-ready access to data across Komatsu’s ICT landscape. Komatsu’s business decisions – from sales and finance to production and spare parts logistics – depend on having accurate, consistent, and timely data.

Komatsu is undergoing one of its most significant ICT transformations in 25 years: migrating its on-premise data warehouse to a modern, cloud-based Snowflake platform. This transformation will become the strategic backbone for all BI, data analysis, and future AI initiatives within the global group. Without a strong Data Engineer to build and maintain the pipelines, clean and model the data, and ensure security and performance, the migration risks delays and inefficiencies that could directly impact business performance across Europe and beyond.

The impact of this position is therefore immense: the Data Engineer will turn raw, siloed, and inconsistent data into trusted, actionable insights that drive Komatsu’s growth and competitiveness.

As a Data Engineer at Komatsu, your primary responsibility is to make sure that the business has access to reliable, secure, and business-ready data at all times. This is far more than a technical challenge: it is about enabling every department – from Sales and Marketing to Finance, Production, and Supply Chain – to make faster, smarter, and more confident decisions.

You will take ownership of the full data lifecycle: from collecting raw, complex, and often fragmented data from operational ICT systems, through cleaning, transforming, and modeling it, to ensuring it flows into the central data warehouse (Snowflake) in a way that is performant, secure, and aligned with business requirements. This means you will be the “engineer behind the scenes” who guarantees that dashboards, reports, and advanced analytics are based on consistent, trustworthy, and well-structured data.

While your focus will be data engineering (80%), you will also support colleagues in resolving advanced data questions and ensuring that BI tools (such as Qlik Sense and Power BI) can rely on high-quality datasets (20%).

Points of attraction and offer

• Be part of one of the most important ICT projects in Komatsu’s history;
• Work on state-of-the-art cloud technologies (Snowflake, Azure, CI/CD) in a global organization;
• Collaborate with international teams and contribute to projects with global reach;
• The perfect fit for those who likes a challenge;
• Steep and fast learning curve;
• Engineer the foundation that enables Komatsu to innovate, grow, and stay competitive;
• Enjoy a high degree of autonomy;
• Access to extensive training and learning opportunities;
• Exposure to AI and innovative projects in addition to core data engineering;
• Join a forward-thinking company investing in digital transformation and technology innovation. The company emphasizes innovation in its product development, incorporating advanced technology to enhance efficiency, safety, and environmental sustainability;
• Following your onboarding process, it will be possible to work 3 days per week from home;
• Komatsu is renowned for producing high-quality and durable machinery and equipment used in various industries. Their products are known for their reliability and performance;
• Collaborate with experts across departments and regions, backed by strong leadership and resources. With a global footprint, Komatsu operates in numerous countries, providing equipment and services worldwide, ensuring accessibility and support for customers globally.

Profile

Must haves:

• Proven experience in data engineering, preferably within a data warehouse environment.
• Experience with Snowflake or similar cloud-based data platforms is essential.

Nice to haves:

• Knowledge of BI tools (Qlik Sense, Power BI, Tableau) though the role is not dashboard-focused.
• Strong expertise in SQL, data modeling (multi-dimensional/star/snowflake schema), ETL/ELT processes, and database management.
• Familiarity with Azure cloud architecture and DevOps practices is preferred.
• Python knowledge is an advantage.
• Experience in international and/or industrial environments is a plus.

Competences

• Curious nature;
• Drive and enthusiasm;
• Eagerness to learn;
• Hands-on approach;
• Cultural sensitivity;
• Highly social and collaborative;
• Strong analytical and problem-solving skills;
• Independence and ownership, combined with clear communication.

Languages

• Proficiency in both English and Dutch is preferred. However, proficiency in English alone is also acceptable.