Technical Consultant Data Engineer (m/f/x)
452551
02. Open
Experienced
IT-Jobs: Data & Analytics
ALDI Data & Analytics Services GmbH, Mintarder Straße 36-40, 45481 Mülheim an der Ruhr
Mintarder Straße 36-40
Mülheim an der Ruhr
45481
Germany (DE)
Data-Analytics.png
https://jobs.cdn-aldi-sued.de/video/.mp4
https://jobs.cdn-aldi-sued.de/video/.jpg
full-time or part-time
06/01/2024
permanent contract
partial mobile working within Germany
Platforms & Architecture
David Geißels
611847
2
IT-Jobs
Senior Expert
Nordrhein-Westfalen (DE-NW)
21.05.2024 14:20

Info text

With more than 7,000 stores in 11 different countries, ALDI SOUTH is one of the world’s largest food retailers. It is our mission to supply our customers with high-quality food at the best possible prices. We have a clear focus, following a unique concept of simplicity, responsibility and reliability.
In the ALDI Data & Analytics unit everything revolves around one topic: Creating data-based value for ALDI SOUTH around the world. Through our global projects, we develop scalable data analytics products for and together with our business and technology teams. By doing so, we support the entire organisation in making business decisions based on reliable data and cutting-edge analytics insights. Become part of our ALDI Data & Analytics team!

Your Job

What you give your best for.

  • Advising, mentoring and coaching data and analytic professionals in country organisations on data engineering standards and practices
  • Solving technical engineering problems in order to help our country organisations to achieve their goals
  • Closely collaborating with internal experts on data engineering to continuously learn and share knowledge
  • Contributing to the evaluation of emerging tools for analytic data engineering and/or data science and helping to set new standards for the way of working
  • Proposing and contributing to education plans on analytical data engineering capabilities, standards, and processes with special emphasis on country organisations
  • Conceptualising, organising, creating and holding specialised internal training sessions for data engineers

Your Profile

What you should have.

  • Background in computer science
  • At least six years of professional experience in software or infrastructure development roles, including a minimum of two years in data engineering roles with solutions in the distributed computing, big data and advanced analytics area
  • Passion in sharing knowledge and teaching less experienced technical experts
  • Expertise in SQL and data analysis and experience with at least one programming language (e.g., Python, Scala)
  • Understanding of database development and data modelling experience, ideally using Databricks/Spark and SQL Server DB, and knowledge of relational, NoSQL, and cloud database technologies
  • Proficiency in distributed computing and the underlying concepts, preferably Spark and MapReduce
  • Familiarity with MS Azure tools, like Azure Data Factory, Azure Databricks, Azure Event Hub, Synapse, ML
  • Conceptual knowledge of data and analytics, such as dimensional modelling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
  • Familiarity with the Unix operating system, especially shell scripting
  • Understanding of the basics of machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
  • Excellent communication skills and business fluency in English, both written and verbal
  • Talent for creating slides and illustrations that help data engineers to understand our tech stack
     

Your Benefits

How we value your work.

  • 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

Your Tech Stack

What you work with, among other things.

  • Azure Databricks, 
  • Azure Data Factory,
  • Python, 
  • PySpark,  
  • MS365
  • Other tools and libraries as required by our users
     
Travel:  partial mobile working within Germany