When starting new vehicle developments it is essential to have the most accurate information on the operating conditions of trucks and truck components. The growing availability of many big data sources enables this information to derived more complete and accurate. Based on this information requirements will be set for new vehicle and component designs, maximally optimized to operating conditions. This information will also be essential for optimal control function development.

| YOUR CHALLENGES?

Within our Analysis department we are looking for a Lead Data Engineer – Big Data Analytics.

Objective of the function:

• To convert data that are available in our databases (field test data, connected truck data, fleet management data, service databases, etc.) and public databases into valuable information to steer upfront specifications, developments and simulations of new truck designs.
• To condense this information into SMART use cases and cycles for optimizing and validating new designs with simulations in the Technical Analysis department.

In this function you will play a central role in data analytics for all vehicle development departments with main focus on energy management/CO2 and durability of trucks.

Responsibilities:

• Translate pro-actively the requests of stakeholders in different knowledge domains (property owners, system owner, simulation engineers) into information models and show and prove possible outcome to these stakeholders.
• Set up analysis plans, define required data and data sources and analyses methods.
• Create required access to large data sources and tools.
• Adapt and use the appropriate tools for merging and analyzing the data.
• Use advanced analysis methods to derive relevant, reliable and usable information.
• Visualize and communicate the results on various levels, ranging from engineers, system & property owner until senior management of PD.

| WHAT DO WE EXPECT FROM YOU?

• Excellent analytical skills including statistics on MSc. level.
• Domain knowledge in an industrial environment.
• Good knowledge of data analytics methods and tools (like datamining, machine learning, SQL, Matlab, R, Python, Rapidminer, Hadoop, etc.) and affinity with IT systems/applications.
• Good communication skills, verbally and in writing in both Dutch and English.
• Pro-active, enthusiastic and critical towards representativeness and accuracy of results.

| WHAT CAN YOU EXPECT FROM TMC?

TMC is an international high-tech consultancy company that brings expertise to their clients in order to support them with the realization of their technological challenges. As such, TMC is operating as an expert center at the disposition of its clients and we help them to be more competitive in an ever more global and faster changing technological world.

At TMC we believe that people are the driving force behind technological innovation. That is why we want to create the best possible conditions for tech talents to thrive in. We offer you a challenging and stimulating work environment in which you can be the director of your own career.

As an Employeneur you are part of our TMC family. Next to our outstanding technical expertise, fun and engagement are meaningful parts of our culture.

| WHY CHOOSE FOR EMPLOYENEURSHIP?

We are truly unique thanks to our Employeneurship model which is a true innovation for the High Technology consulting business. It is the business relationship of the 21th century for high skilled technical professionals. It is built around 5 main pillars:

• You will have a permanent employment contract, offering you stability and security
• You will get to know your market value and have a share in the profit your work generates thanks to the individual profit sharing
• We will support you with a one-on-one coaching and trainings designed to help you develop your entrepreneurial skills
• The competence cells structure, provides you with a strong meaningful and relevant network
• The entrepreneurial lab: a playground for new ideas and a potential launching for start-ups

TMC is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.