Info text

At ALDI DX, we develop innovative digital products and services for our employees as well as our customers in 11 ALDI SÜD countries and over 7,300 ALDI SÜD stores worldwide. We drive digital value to offer great quality at the lowest price. 
We will be guided along the way by the three core values of the ALDI SÜD Group – simplicity, reliability and responsibility. Our team and our performance are also at the heart of everything we do at ALDI DX.

Your Job

What you give your best for.

• Designing, developing, optimising and maintaining squad-specific data architecture and pipelines that adhere to defined ETL and data lake principles
• Preparing, aligning and organising the handover of data architecture and pipeline artifacts to the platform team for use across squads
• Solving technical data problems to find resolutions that help our business colleagues achieve their goals
• Creating data products for analytics and data scientist/ML engineer team members to improve productivity within their teams as well as the whole organisation
• Advising, consulting, mentoring and coaching data and analytics professionals in your own squad and the organisation on data standards and practices
• Contributing to the evaluation of emerging tools for analytic data engineering and/or data science and helping to set new standards for the ways of working
• Proposing and contributing to education and improvement plans for analytical data engineering capabilities, standards and processes

Your Profile

What you should have.

• Background in computer science
• At least ten years of professional experience in software or infrastructure development roles, including a minimum of four years in data engineering roles with solutions related to distributed computing, big data and advanced analytics
• Expertise in SQL and data analysis as well as experience with at least one programming language (e.g. Python, Scala)
• Understanding of database development; data modelling experience, ideally using Databricks/Spark and SQL Server DB; 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, such as 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 Unix operating systems, especially shell scripting
• Good understanding of network-level problems and connectivity requirements; the ability to debug issues
• Basic knowledge of machine learning, data science, computer vision, artificial intelligence, statistics and/or applied mathematics
• Excellent communication skills and fluent English; knowledge of German is a plus 

Your Benefits

How we value your work.

• Partial mobile working within Germany, incl. hardware budget
• State-of-the-art technologies
• Attractive remuneration as well as holiday and Christmas bonuses
• Future-oriented training and development
• Modular onboarding and buddy
• Corporate health management programme

Your Tech Stack

What you work with, among other things.

• Azure Databricks, 
• Python, 
• PySpark, 
• Many more depending on the job