Job profile
Engineer for data structures
Our internationally active team creates solutions to be used by ALDI SOUTH worldwide. Join our team and shape the future of ALDI SOUTH.
As a Data Engineer you are responsible for the extraction, loading and transformation of data. You transform semi-structured data sets into a uniform structure and make it accessible to different teams for a wide range of use cases via a dedicated platform.
Your responsibilities are:
- Designing, developing, optimising, and maintaining squad-specific data architecture and pipelines that adhere to defined ETL and data lake principles and business goals
- Preparing, coordinating and organising the transfer of data architecture and pipeline artefacts to the platform team for cross-squad use
- Resolving technical data problems, the remediation of which helps our company to achieve its goals
- Helping to build data products for data analytics scientists and machine learning engineers as part of an agile team to improve their productivity
- Advising and mentoring data and analytics experts on data standards and practices within your squad
- Collaborating on the evaluation of new tools for analytical data engineering or data science
- Proposing and contributing to education and improvement plans on analytic data engineering capabilities, standards, and processes
- Continuing your education in machine learning, data science, computer vision, artificial intelligence, statistics or applied mathematics
Ideally, you match the following profile:
- Background in computer science
- Experience in data engineering and with solutions for cloud computing services for data and analytics
- Proficiency in SQL and data analysis as well as experience with at least one programming language (e.g. Python, Scala)
- Experience in database development and data modelling, ideally using Databricks/Spark and SQL Server DB, as well as knowledge of relational, NoSQL and cloud database technologies
- Experience in working with Microsoft Azure tools, like Data Factory, Event Hub, Databricks, ML, Synapse and Purview
- Conceptual knowledge of data and analytics, e.g. dimensional modelling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
- Experience in working with Unix operating systems, especially shell scripting
- Proven experience in machine learning, data science, computer vision, artificial intelligence, statistics or applied mathematics
- Excellent communication skills and business fluency in English; knowledge of German is a plus
What we offer:
- Partial mobile working within Germany incl. hardware budget
- Attractive remuneration as well as holiday and Christmas bonuses
- Future-oriented training and development (incl. certifications)
- Modular onboarding and buddy
- Corporate health management programme