Data Engineer Advanced Analytics (m/f/d)

Date: Jul 13, 2022

Location: Mülheim an der Ruhr, NW, DE, 45481

Company: ALDI SÜD

Data Engineer Advanced Analytics (m/f/d)
02. Open
Experienced
IT-Jobs: Data & Analytics
ALDI International Services SE & Co. oHG
Mintarder Straße 36-40
Mülheim an der Ruhr
45481
Deutschland (DE)
https://jobs.cdn-aldi-sued.de/ITimg/2020_IT-Jobs_Big_Data.jpg
https://jobs.cdn-aldi-sued.de/video/.mp4
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full-time
nach Vereinbarung
ALDI SÜD
Data Engineer Advanced Analytics (m/f/d) (ID:207601)

<h4 class="intro">Bitte nicht bearbeiten</h4>

In the Global Data & Analytics (GDA) team at ALDI SOUTH, everything revolves around one topic: creating data-based value for ALDI SOUTH and our customers around the world. In global projects, we develop customised solutions for and with our business and IT teams. By doing so, we support the entire organisation in making major business decisions based on reliable data and cutting-edge analytics.* Become part of the Global Data & Analytics team and contribute to the data-driven future of ALDI SOUTH . 

<h3 class="jd">Your Tasks</h3>

  • Solving complex data problems to deliver insights that helps the business to achieve their goals 
  • Integrating new data sources for permanent or temporary use by Data Scientists using the Hadoop Ecosystem (Sqoop, Hive, Impala) 
  • Supporting the operation and maintenance of our Data Lake based on Cloudera Hadoop 
  • Supporting the migration of our Data Lake to Azure 
  • Supporting Data Scientists in the implementation and optimization of complex machine learning programs 
  • Coordinating the international Data Engineer community within the scope of our BI governance framework as well as collaborating on further data science projects 

<h3 class="jq">Your Profile</h3>

  • Academic degree in computer science, mathematics, statistics, or other comparable studies (relevant master’s/PhD is desirable)  
  • Extensive knowledge of data processing and development environments in the Hadoop Ecosystem (Sqoop, Spark, Hive, Impala, etc.) 
  • Deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows 
  • Strong programming skills (Python, R, Scala, Spark) 
  • Experience in working with SAP data connection, Informatica, Alteryx or Azure is advantageous 
  • Passion for Agile software processes, data-driven development, reliability, and experimentation 
  • Excellent communication skills and business fluency in English; knowledge of German is a plus 

<h3 class="jb">Our Benefits</h3>

  • Mobile working within Germany incl. equipment and flexible working hours 
  • State-of-the-art technologies 
  • Attractive remuneration as well as holiday and Christmas bonuses 
  • Future-oriented training and development 
  • Modular onboarding and buddy 
  • Health activities