Chapter Lead Data Engineering (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/iit-img/big_data.png
https://jobs.cdn-aldi-sued.de/video/.mp4
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full-time
​nach Vereinbarung
ALDI SÜD
Chapter Lead Data Engineering (m/f/d) (ID:371821)

<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>

  • Oversee Data Engineering activities (e.g., designing and implementing data pipelines, data security, quality and automation)
  • Establish Data Engineering standards and tools in collaboration with the Platform team and promote implementation of practices by creating protocols and ensuring their application
  • Ensure that everyone in the Data Engineering community has the right support to do their best work and grow in their roles
  • Develop, manage and measure continuous learning activities for the Data Engineering community, spanning across locations and business functions
  • Provide deep expertise on strategic use cases (e.g., high priority products, technology development)
  • Act as the “go-to-person” for the Data Engineering community to solve complex problems

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

  • Senior expertise (5+ years) of leading large Data Engineering teams at high growth enterprises and working across product and technology departments
  • Strong coaching and capability building skills with the ability to grow and continuously develop a thriving community
  • Demonstrated ability to work in an agile environment
  • Deep coding expertise in SQL and ETL, preferably Azure Data Factory and Databricks data manipulation, clean coding techniques and ETL framework creation to shape and develop state-of-the-art Data Engineering practices
  • Data Modeling expertise to align with data engineers and data architects on model evolution

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

  • Mobile working within Germany incl. equipment 
  • Attractive remuneration 
  • State-of-the-art technologies 
  • Future-oriented training and development 
  • Modular onboarding and buddy 
  • Health activities 
Travel: