Senior Data Engineer Advanced Analytics (m/f/d)

Mülheim an der Ruhr, NW, DE, 45481

Full Time Senior-level / Expert EUR 83K - 155K *

ALDI SÜD

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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 https://jobs.cdn-aldi-sued.de/video/.jpg 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