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Data Engineering Trainee Programme

In data science projects, the data engineer plays an increasingly important role alongside the data scientist. They are responsible for setting up big data platforms, selecting suitable technologies, implementing use cases and much more. That's why we have been training data engineers ourselves since the beginning of 2018 as part of our 12-month Data Engineering Trainee Programme.

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Our Data Engineering Trainee Programme offers

 

  • Getting to know our data compass and all four areas of our company: Business Processes, Data Intelligence, Predictive Analytics and Insights Visualisation
  • Acquiring professional know-how through a combination of theory and practice
  • Collaboration on a variety of different tasks and projects as a permanent team member
  • Supervision by experienced professionals who individually support and challenge our trainees
  • Numerous internal and external trainings tailored to the individual needs of the trainees such as SQL, Python, AWS, Azure and Spark
  • Trainee regulars' table and exchange opportunities across all levels of the company
  • Helping to shape the Data Engineering Trainee Programme through regular feedback
  • Personal development plan for each Data Engineering Trainee
  • Steep learning and development curve through our diverse training opportunities

Your tools for a steep learning curve

Training on the job

The exchange with experienced colleagues, open and constructive feedback, use of our internal library.

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Trainings

Regular internal and external training helps you to expand your skills and develop yourself further

Freaky Friday

10% of your working time are available for independent work on internal AT projects and your personal self-study

What you should bring with you for our Data Engineering Trainee Programme

 

  • Completed university studies in (business) informatics or a comparable qualification
  • Very good knowledge of at least one common programming language such as Java, Scala or Python, as well as basics in Apache Spark are desirable
  • Enthusiasm for data architectures and Big Data
  • Good analytical understanding
  • Strong pragmatism and structured approach
  • Knowledge of agile project management (especially Scrum)
  • Enjoy project-based, customer-oriented work and have a hands-on personality
  • Desire to work in a team, creativity and the will to drive innovations forward
  • Business fluent in German and English

Further benefits of our Data Engineering Trainee Programme

Teamwork

Teamwork is written in capital letters at [at]!
From day one, we welcome you as a permanent member of our team

Personal mentor

Experienced staff support you with questions and your development

Feedback

Regular and constructive feedback helps you to recognise your strengths and overcome weaknesses.

Daily routine of a Data Engineering Trainee

 

On this page, we would like to give you an insight into the activities of the trainee programme. Our Data Engineering Trainee Markus Appel describes what a typical working day of our Data Engineering Trainees looks like and what tasks he takes on. 

08:45 h

"Having just arrived, the first thing I have is a coffee from our filter machine. I enjoy it on our roof terrace with a wonderful view of the city and chat with my colleagues. The next thing is to check my Outlook mails!

09:00 h

"Overnight there was a problem with a data pipeline we run for one of our clients. A look at the pipeline logs quickly brings the problem to light, so I can make it in time for the daily stand-up."

09:15 h

"The daily Scrum meeting is coming up and I discuss with my team which tasks are prioritised today and where we need to tackle together."

09:30 h

"After our team had a coordination meeting with a customer last week to set up a new data pipeline, I am now creating a first draft together with a colleague. This involves selecting suitable technologies based on the customer's requirements and ensuring smooth interaction. "

12:00

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"It's lunch time - we go downstairs to the canteen with colleagues or make ourselves comfortable in the common rooms for our weekly "Bowl Day".

12:45 p.m.

"After lunch, there's time for a game of table football with your colleagues - the revenge is on the cards 😉 "

13:00

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"Now it's on to the weekly team meeting: current topics are discussed and open questions about projects, upcoming milestones and further training are clarified."

14:30 h

"A colleague from the data science team hands me his prototype, which I have to transfer to the production system. To do this, tests have to be written, bugs found have to be eliminated and performance profiling has to be carried out. After the successfully completed quality assurance phase, I add the prototype to the continuous integration pipeline for deployment in the customer's productive environment."

18:30

"After an eventful day, it's off to work - today I'm meeting some colleagues for beach volleyball!"

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"The trainee programme has given me the opportunity to gain hands-on experience in many
different projects. Here I was able to
learn a lot from the experienced colleagues and constantly develop myself."

Xaver - Data Engineer

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"The tasks of the Data Engineer Trainee grow with every day: the higher your own willingness to learn and interest in the topics, the more experience you can gain in the shortest time.
One thing is guaranteed, both in hands-on projects with helpful and warm-hearted colleagues, as well as in self-selected topics in independent work: It never gets boring!"

Markus - Data Engineering Trainee

Curious now?

Then get more information about the trainee programme from our brochure or apply directly to us. We look forward to receiving your application.

Apply now