Job
- Level
- Lead
- Job Field
- Project, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop robust data pipelines using Python and SQL for a data warehouse, lead an agile engineering team, and continuously optimize processes and architectures in data analytics.
Job Technologies
Your role in the team
- You develop robust data pipelines (Python + SQL) for the operation of a data warehouse and significantly contribute to the definition and development of a suitable data model.
- You are responsible for the operation of our data platform, which enables diverse user groups to make decisions.
- You will take over the technical leadership of an agile engineering team that covers the entire software development lifecycle: from requirements, architecture, and design to implementation and testing, up to deployment, operations, and support.
- You are responsible for the architecture, ensuring product quality, and actively identifying and reducing technical debt.
- You keep costs, time, and development budget in view and make data-driven and holistic decisions.
- You lead a Core Engineering team through the development process, establish standards, and ensure continuous process improvements.
- You are the primary contact and sparring partner for the Product Owner, supporting the requirements analysis and communicating with key users.
- You are responsible for the personal and professional development of the Software Engineers in your team.
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Our expectations of you
Education
- You have at least 4 years of professional experience in Data Engineering or Software Development (outside of your studies) and are ready for a technical leadership role (or already have some initial experience).
- Completed IT degree or a comparable qualification with solid practical experience.
Qualifications
- You possess in-depth, practical experience in building and managing a Data Warehouse as well as in software development for the backend (Python, or similar) and the frontend (Vue, React, or similar).
- Cloud-native technologies (Docker, Kubernetes), analytical databases (BigQuery, Snowflake), and data warehousing are your daily tools.
- You have a strong architectural understanding (including design patterns such as Strategy Pattern, Clean Code, modular architectures).
- Automated testing, CI/CD, IT security, and best practices in deployment are non-negotiable for you.
- You have a high degree of initiative, work strongly data-driven, and enjoy sharing knowledge and elevating your team to the next level.
- Very good English skills; German skills are a plus (or willingness to improve them).
Experience
- Experience with highly scalable, data-intensive systems is a big plus.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Schwarz Unternehmenskommunikation GmbH & Co. KG
The Schwarz Group, based in Neckarsulm, is a significant German conglomerate and one of the largest retail groups in Europe. It operates over 13,900 stores under the brands Lidl and Kaufland and employs around 575,000 people.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade
Engineering Lead - Supply Chain Data Platform
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
