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Data Engineer m/w/d


Season @Marc O'Polo

Data Engineer m/w/d

01.05.2022 - Fulltime - Stephanskirchen / Hybrid

Your Benefits

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Data Engineer

As a Data Engineer it is essential to understand your data and how it is generated. This allows you to structure the different transformations in the most proper way and avoid many of the pitfalls that are hidden in the data, to give high-quality data to Data Scientists, Analysts or to ML applications.

What you tell your friends you do

“You can see a Data Engineer as a plumber. As a Data Engineer, I build pipelines to move data from one place to another. But I am also more than that. In addition to making sure that data is transported from one place to another, we make sure that the quality of data is good for use. We also gauge how the data is going to be used and based on that, we make decisions on how to store it, how best to retrieve it, to process it and so on.”

What you will really be doing

  • Help build our new Cloud Data Platform, which will be the foundation for our Lake House Architecture
  • Implement a maintainable, scalable and flexible Cloud Data Platform architecture and develop data engineering components
  • Create simple, sustainable and scalable data integration pipelines
  • Evaluation, design and implementation of the data lake system
  • Development of data transformation and cleansing processes in Apache Spark
  • Building data models, data catalogues and data dictionaries
  • Development of workflows with Apache Airflow or DAG workflow management tools

How will you be doing this

  • You’re part of an agile, multidisciplinary team. You bring your own unique skill set to the table and collaborate with others to accomplish your goals.
  • You prioritise your work with the team and its project lead, weighing both the business and technical value of each task.
  • You experiment, test, try, fail and learn all the time - with one thing at a time.
  • You don’t do things just because they were always done that way. You don’t ignore the lessons learned.

 

Your Profile

  • Bachelor's degree or equivalent in computer science, information technology or systems, economics, statistics, applied mathematics, business administration or other related field
  • Passion for learning and implementing new technologies and staying on top of the latest developments
  • At least two years of professional experience as a data analyst / data scientist / data engineer
  • Good SQL and Python skills
  • Knowledge of some or all of the following technologies is a plus: Spark, Presto, Delta Lake, Apache Hudi, Airflow, Debezium, Power Bi, Tableau
  • Experience with the AWS Big Data Platform
  • Agile mindset and experience with agile development practices (TDD, CI/CD, Pair Programming, Scrum, Kanban, ...).
  • Git version control using GitHub, GitLab or Bitbucket.
  • Fluency in English (written and spoken) is a must, other languages are a plus

We offer

  • Work with bleeding-edge open source technologies
  • Room for you to do things your way.
  • MacBook of your choice
  • Lots of things you can learn through our internal Academy
  • 30 days of paid leave, so long as you promise to come back!
  • A lot of outdoor activities as mountain biking, bouldering and all other stuff you can do in the mountains
  • We like to inspire your passion giving you the opportunity to visit events.
  • And yes, we also have the industry standard perks such as soccer tables, great lunch, team activities and fun parties.

Your HR contactt

Jessica (Kaßeckert) - Human Resources
Do you have further questions? I’ll be happy to answer them by phone: +49 8036 90-1235

This is MARC O’POLO

FOLLOW YOUR NATURE – To have the freedom to be yourself, working in a Company with flat hierarchies and a dynamic, Scandinavian Spirit which creates great a natural working environment. Be a part of the MARC O’POLO Story and get your career started.