Data Engineer (m/f/d) Feedback Management
BAUHAUS Deutschland · Mannheim, Baden-Württemberg, Germany
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- On site
- Full-time
- €70,000 / year
- Mannheim, Baden-Württemberg, Germany
Job highlights
- Build data products for customer feedback.
- Develop and operate ETL/ELT processes.
- Automate and optimize data flows.
- Maintain data warehouse architecture.
- Support and mentor junior colleagues.
About the role
About Us
Better digital. The Digital Commerce division is committed to digitalization as a means of creating a networked BAUHAUS of the future. Our focus is always on the customer and we aim to create the perfect digital shopping experience. An agile working environment, innovative solutions and committed employees drive the business - and the best indication of this is the company's success: With over 290 specialist centers in 19 countries and one of the top 50 online stores in Germany, BAUHAUS is one of the most successful players in Europe. And we look forward to being even better with your help!
Your Role
As Data Engineer (m/f/d) in our product team Feedback Management, you play a key role in building data products around customer feedback (e.g. product reviews). You will develop, operate and monitor ETL/ELT processes. You will automate and optimize data flows. You will evolve and maintain our data and analytics platforms, including the data warehouse architecture, with a strong focus on scalability and reliability. You will support and enable less experienced colleagues through knowledge sharing.
Your Profile
- At least three years of relevant professional experience as a Data Engineer (m/f/d), building scalable data pipelines and data warehouse architectures.
- Solid programming skills, e.g. Python, especially in scalable, high-throughput data processing contexts.
- Strong expertise in SQL and NoSQL systems at scale.
- Proven hands-on experience with cloud platforms, ideally GCP (BigQuery, Pub/Sub, Cloud SQL, Cloud Storage, Dataflow, Cloud Run) and cloud-native pipeline design.
- Nice to have: basic knowledge of data analysis (especially text analysis) and visualization.
- Fluent in English, German knowledge is nice-to-have but not required.
Our Offer
- Good together. Even better with you: A challenging role in a family-owned business with an agile working environment, flat hierarchies, and teamwork.
- Flexibility for a good work-life balance: Possibility of working remotely, flexible working hours outside of core working hours, 30 days paid vacation with up to 12 additional unpaid vacation days.
- State-of-the-art working environment on the BAUHAUS campus: Flexible working areas with modern equipment, our own BAUHAUS restaurant and bistro, as well as a BAUHAUS day-care center.
- Stability and security: Permanent employment contract and attractive remuneration.
- Employee benefits: Shopping discounts through the BAUHAUS employee card, corporate benefits, company pension plan, and much more.
- Technology & innovation: We rely on state-of-the-art technologies and promote personal and professional growth.
- Networking: Regular BAUHAUS team events strengthen our team spirit.
Key skills/competency
- Data Engineering
- ETL/ELT
- Data Pipelines
- Data Warehouse
- Python
- SQL
- NoSQL
- GCP
- Cloud Platforms
- Text Analysis
Skills & topics
- Data Engineer
- ETL
- ELT
- Data Pipelines
- Data Warehouse
- Python
- SQL
- NoSQL
- GCP
- Cloud Data Engineering
- BigQuery
- Customer Feedback
- Germany
How to get hired
- Tailor your resume: Highlight your experience with scalable data pipelines, data warehouse architectures, and cloud platforms like GCP.
- Showcase your skills: Emphasize your proficiency in Python, SQL, and NoSQL for data processing and your experience with ETL/ELT processes.
- Demonstrate cloud expertise: Detail your hands-on experience with GCP services such as BigQuery, Pub/Sub, and Dataflow.
- Prepare for technical questions: Be ready to discuss your approach to building robust and scalable data solutions, especially concerning customer feedback data.
- Express your fit: Articulate how your skills align with BAUHAUS's digital transformation goals and agile work environment.
Technical preparation
Practice building scalable data pipelines.,Refine Python skills for data processing.,Strengthen SQL and NoSQL querying.,Review GCP services for data engineering.
Behavioral questions
Describe a complex data problem you solved.,How do you collaborate with other teams?,How do you mentor junior engineers?,How do you ensure data quality and reliability?
Frequently asked questions
- What are the key responsibilities for a Data Engineer at BAUHAUS Deutschland?
- As a Data Engineer in the Feedback Management team at BAUHAUS Deutschland, your core responsibilities include building data products around customer feedback, developing and operating ETL/ELT processes, automating and optimizing data flows, and maintaining the data warehouse architecture with a focus on scalability and reliability. You will also support less experienced colleagues.
- What technical skills are essential for the Data Engineer role at BAUHAUS?
- Essential technical skills include at least three years of experience building scalable data pipelines and data warehouse architectures, solid programming skills in Python for high-throughput data processing, strong expertise in SQL and NoSQL systems, and proven hands-on experience with cloud platforms like GCP (BigQuery, Pub/Sub, Dataflow, etc.). Basic knowledge of data analysis and visualization is a plus.
- Does BAUHAUS Deutschland offer remote work options for Data Engineers?
- Yes, BAUHAUS Deutschland offers the possibility of working remotely for the Data Engineer position, contributing to a good work-life balance. They also provide flexible working hours outside of core hours.
- What is the company culture like at BAUHAUS Deutschland for a Data Engineer?
- BAUHAUS Deutschland fosters an agile working environment with flat hierarchies and strong teamwork, characteristic of a family-owned business. They emphasize innovation, customer focus, and employee growth, with regular team events to strengthen team spirit.
- How can I make my application stand out for the Data Engineer position at BAUHAUS?
- To make your application stand out, clearly highlight your experience in building scalable data pipelines and data warehouse architectures. Showcase your proficiency in Python, SQL, and GCP services, and provide examples of how you've automated data flows or optimized data processing in previous roles. Mention any experience with text analysis of customer feedback data.
- What are the benefits of working as a Data Engineer at BAUHAUS Deutschland?
- Benefits include a challenging role in a successful European company, a family-owned business atmosphere with flat hierarchies, flexible remote work options, 30 days of paid vacation, an attractive remuneration, shopping discounts, corporate benefits, a company pension plan, and opportunities for personal and professional growth through state-of-the-art technologies and team events.