Internship/Graduation: Applied Analytics within Vanderlande

Internship/Graduation: Applied Analytics within Vanderlande

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Job area
Location
Veghel, Netherlands.
Contract type
Full time
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Assignment type: Internship or graduation assignment

Assignment duration: 6 months

Location: Veghel

Educational level: HBO/WO

Desired study: Information Management, Applied Mathematics, Software Engineering, Data Science, Computer Science or related studies

Language: English

Description of the assignment

Data and Analytics are currently in the spotlight at Vanderlande. A large board-level driven change program has led to the introduction of a new data platform according to the Data Mesh methodology and the rapid adoption of Azure cloud technology. This is an ideal time to come aboard and make your mark on a company that provides baggage handling systems for 600 airports around the globe and automates the warehouses and sorting centres of the world’s leading parcel and e-commerce businesses.

Whether you join us as an intern to gain work experience or to write your thesis in a non-theoretical environment, every bit of value you deliver for us is a win.

Department description

You will become part of Vanderlande’s growing Central Analytics department. Together with our Central Data organization we build and further expand our Analytical plane. By enriching and transforming data we allow our organization to work Data Driven. Our Director reports directly to the CFO of Vanderlande. Our Portfolio Management Board (the people who give us direction) consists of leadership from each of our domains like Sales, Finance, HR, Supply, Project Execution etc.

Tasks/responsibilities

You will join one of our DevOps teams and take part in the different scrum events. The teams focus on the development of Data Products related to a specific domain like the once mentioned earlier. In our teams, a proactive and entrepreneurial spirit is highly valued.

How much you want to add in terms of actual workload to the team is up to you and will depend heavily on the specific nature of your assignment/graduation project. From our side there are close to zero expectations. What we want to offer you is a professional, high-tech and corporate environment to complete your study assignment in. We trust you will like it enough to do a lot more than that.

Your profile

Our team writes most of the code in Python and/or SQL. Any experience with these languages will allow you to participate in the actual development. If you have none, we highly advice you to train yourself via one of the  several available online resources beforehand.

Furthermore, knowledge on the following will help you, but is not expected:

  • Building data pipelines and managing them in a production environment.
  • DevOps tooling like test automation and CI/CD.

On a less technical note it would be awesome (but again, not required) if;

  • You have a nose for data quality issues and find joy in automating the detection and resolution of these issues.
  • You find pride in developing robust, yet versatile, highly testable and deployable solutions.
  • You are pro-active and on top of the latest developments in tooling and collaboration techniques like Mob Programming and Agile development.
  • You spot opportunities to reduce repetitive work with automation.
  • You take ownership and are a team player with good communication skills.
  • You have a DevOps mindset.

On top of all that, it would be great if you had affinity/experience with;

  • Cloud solutions, specifically Microsoft Azure.
  • Data visualization / front-end development.

Did we mention that none of these are actual hard requirements?

Contact

Do you recognize yourself in this challenging profile? And are you looking for an internship/graduation assignment in an organization that has been elected as “Best Employer” for years in a row? Please fill out the application form and upload your resume and cover letter. For more information, contact us by e-mail: internship@vanderlande.com or Stef Alferink (Campus Recruiter) by phone: +31 (0)413 – 75 50 87.

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