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 Germany full-time or part-time permanent contract partial mobile working within Germany 12/21/2022
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. 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
State-of-the-art technologies
Attractive remuneration as well as holiday and Christmas bonuses