ALDI Nord Group

Manager Data Warehouse Lakehouse Developer / Big Data Engineer (m/w/d)– Financial Data

ALDI Nord Group WorkFromHome

Stellenbeschreibung:

Manager Data Warehouse Lakehouse Developer / Big Data Engineer (m/w/d) – Financial Data

Join to apply for the Manager Data Warehouse Lakehouse Developer / Big Data Engineer (m/w/d) – Financial Data role at ALDI Nord Group

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This range is provided by ALDI Nord Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70,000.00/yr - $90,000.00/yr

Recruiting @ALDI Nord Group I Hiring top talents with POWER to shape the future of discount retailing

The ALDI Nord group is one of the leading food retailers. For over 110 years, ALDI has stood for the creation of the discount principle. Our mission is to provide people everywhere and anytime with their daily essentials: quality products at low prices – simply and quickly. This also includes making shopping as easy as possible for our customers. That’s why we give our best every day and reinvent ourselves time and again. Combined talent and commitment – that is the POWER behind our success stories. Across Europe in 8 countries with around 5,400 stores and more than 91,000 employees. We are: Simply ALDI. Powered by people.

Your tasks

  • Design and development of data transformation processes (ETL) within our Lakehouse architecture
  • Creation and development of data models (Kimball)
  • Design and development of data quality checks and optimizations
  • Implementation of regular deployments as part of the software delivery process
  • Documentation of data models and processing pipelines for internal purposes, service providers, and users
  • Coordination with responsible system owners of data sources to be integrated, as well as IT and other stakeholders
  • Close collaboration with business intelligence engineers in the creation of management dashboards and reports, in the form of joint requirements, concepts, and work packages
  • Close collaboration with data architecture, data integration, and data operations
  • Collaboration in cross-functional project teams to implement use cases

Your profile

  • Successfully completed degree in (business) information technology, STEM or a comparable qualification
  • Experience in data modeling (star schema, data vault, third normal form) and implementation in data products.
  • In-depth knowledge of software development, ideally with Databricks, Azure Data Lake, SQL, Python, PySpark, and GIT
  • Experience with the development and operation of big data cloud technologies (Microsoft Azure, GCP or AWS)
  • A high degree of independence, diligence, and quality awareness
  • Experience working in agile SCRUM teams
  • Ability to develop a clear understanding of business requirements and translate them into data-driven projects
  • Strong communication and consulting skills
  • Analytical thinking, a structured approach, and enjoyment of solving complex new tasks

Your benefits

  • Modern Work Environment: Working at the ALDI Nord Campus with an open-space concept, company restaurant, café, parent-child office, and parking garage with E‑charging stations
  • Work–Life Balance: Flexible working hours and a hybrid work model with the possibility of partial remote work (up to 40%) as well as 30 vacation days (full-time)
  • Mobility: Free electric vehicle charging at the ALDI Nord Campus, reimbursement for the Germany ticket, or a transportation allowance
  • Health & Prevention: Company‑owned fitness studio and partnerships with fitness providers
  • Onboarding & Development: Structured onboarding process and a wide range of opportunities for personal and professional growth (e.g., ALDI Academy, eLearnings, etc.)
  • Impact & Team Power: A high degree of creative freedom and unbeatable team strength in a performance‑oriented environment
  • Salary & Employee Discounts: Secure employment with the inventor of discount shopping, attractive salary, and corporate benefits

Employment type

Full-time

Job function

Information Technology

Industries

Retail

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    04 Nov 2025
  • Standort:

    WorkFromHome

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