仕事内容

Company Overview

The headquarters in Burgwedel near Hannover serves as the central hub where about 3,000 employees work passionately to shape the future of ROSSMANN. Within the logistics administration, the team plays a crucial preparatory role by managing and organizing the flow of goods.

Role Overview

Become a member of the Logistics Expert Team to advance innovative projects. You'll develop and enhance the logistics data architecture to ensure that data is reliable, automated, and accessible throughout the entire process chain. Acting as a liaison between the business and IT departments, you'll transform complex requirements into scalable data solutions that deliver measurable value.

Key Responsibilities

Develop and maintain data infrastructures and pipelines using Azure and Databricks, providing a dependable foundation for data-driven decisions by the Data Product Teams.
Bridge the gap between logistics and IT by aligning business needs with technical solutions and actively shaping data structures.
Analyze data flows to identify inefficiencies, process disruptions, and cost drivers, promoting targeted improvement initiatives.
Implement automated routines and scalable data processes leveraging Azure Data Factory to optimize workflows.
Create insightful dashboards to promote transparency in operational logistics and support effective KPI management.
Serve as a connector translating business requirements into data-based solutions, making complex information accessible to diverse audiences.
Produce ad hoc analyses and deep-dive reports providing the leadership team with reliable insights for operational and strategic decision-making.

Required Qualifications and Skills

Academic background in economics, computer science, industrial engineering, natural sciences, or an equivalent professional qualification with relevant experience.
Understanding of logistics processes to quickly grasp relationships and utilize data effectively for the business domain.
Proficiency in business intelligence tools such as Qlik, SAP BO, Power BI, Tableau, or similar platforms for structured data preparation and insight generation.
Strong analytical skills with confident use of Excel and PowerPoint to clearly present complex issues tailored to the audience.
Technical competencies including SQL and Python to analyze data efficiently and solve technical problems systematically.
Initial experience in data engineering concepts like data pipelines, data modeling, and ideally with Databricks to facilitate integration into a modern data environment.
Attributes like quick comprehension, analytical thinking, numerical affinity, robust problem-solving abilities, self-initiative, motivation, and teamwork orientation.

Benefits and Additional Information

37.5-hour workweek ensuring balanced work-life integration.
30 days of annual leave to recharge.
Opportunities for workation arrangements.
Additional Christmas and holiday bonuses.
Company pension plan for financial security.
Comprehensive onboarding process to aid smooth integration.
Employee discounts and shopping vouchers.
Participation in sports groups and leisure seminars.
Access to Hansefit fitness program.
Subsidized Germany public transport ticket.
Free parking facilities.
Bike leasing options.
50% remote work flexibility.
Corporate benefits program.
Onsite company restaurant.
Access to ROSSMANN holiday resorts and learning platforms.
Dedicated onboarding days and employee-oriented family company culture.
Company apartments and exclusive coupons.

Note on Gender Neutrality

The job description uses a neutral language approach: all personal designations apply equally to all genders without differentiation.

Junior Data Engineer - Logistics Business Analysis

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