[ALDI SÜD]
Senior Data Engineer Advanced Analytics (m/f/d)
469038
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
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full-time or part-time
12/21/2022
permanent contract
partial mobile working within Germany
Business Engagement - BUY I
Laura Reetz
TopJobDec24
2
IT-Jobs
Senior Expert
Nordrhein-Westfalen (DE-NW)
15.11.2024 08:12
Employee
false
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.
* 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