Job
- Level
- Senior
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will build and optimize our ETL/ELT processes, develop data pipelines with dbt, and make key architectural decisions for the data warehouse while collaborating closely with business units.
Job Technologies
Your role in the team
- You assume the professional and technical responsibility for the development and further advancement of our data warehouse as well as the associated ETL/ELT pipelines.
- You make key decisions regarding architecture, data modeling, and tool selection around our data warehouse (DWH), thereby ensuring the foundation for scalable and sustainable data management.
- You develop and optimize data pipelines with dbt and ensure clean, maintainable, and well-documented transformation logic.
- You are the central point of contact within the team for all questions related to DWH, ETL/ELT, and data modeling, and you promote the development of the entire Data Engineering team through knowledge transfer and enablement.
- You are in close contact with the specialist departments, translating technical requirements into robust data solutions and ensuring that our data infrastructure meets the business needs.
- You evaluate new technologies and best practices in the data engineering environment and drive their implementation forward, also with regard to the use of AI-supported approaches in data processes.
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Our expectations of you
Qualifications
- Python is a familiar tool for you for data processing and automation.
- You have already worked with AWS services in the data environment and have a strong affinity for the use of AI in data processes.
- Working with Docker is a daily tool for you in the development and operation of data pipelines.
- You possess a strong hands-on mentality and enjoy actively participating in projects yourself, rather than just designing them.
Experience
- You have at least 8 years of relevant professional experience in Data Engineering and have independently implemented several projects in the development and operation of Data Warehouses.
- You have very good SQL skills and extensive experience in designing and implementing ETL/ELT processes, including handling large data volumes.
- You have practical experience with dbt in production environments.
- Ideally, you also have experience with Data Vault and/or Airflow.
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What we offer
- Your health is important to us. That's why we cover your membership with the Urban Sports Club and provide access to Nilo.health, the app for mental well-being.
- We are also active at the headquarters: for example, through joint yoga sessions or the MOPO relay race.
- E-Learnings, one-on-one coaching sessions, team trainings, and more: We ensure that you, as part of the #TTCrew, grow beyond yourself.
- Celebrating successes and learning from mistakes are part of our culture. For example, during our monthly town hall meetings, networking events, and afterwork gatherings.
- Flexible working hours, home office policies, workation, and more – we accommodate your individual needs to ensure your work-life balance is maintained in the long term.
- With your #TTCrewCard, you will receive up to 50 percent discount in all stores and online shop, including on sale items.
- Additionally, there are various corporate benefits.
- Germany ticket, e-charging stations and bicycle repair - these are just a few examples of how we want to sustainably move forward with you.
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Benefits
Work-Life-Integration
- 🏖️Workation
- 🚌Excellent Traffic Connections
- 🏠Home Office
- 🅿️Employee Parking Space
- ⏰Flexible Working Hours
Higher Take-Home Pay
- 🚙Company Car
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 💻Company Notebook for Private Use
- 👴🏻Company Retirement Provision
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
TOM TAILOR Verwaltungs-GmbH
The TOM TAILOR GROUP is an international fashion company that offers stylish and affordable casualwear. They also have a range of fashionable accessories and home
Description
- Founding Year
- 1962
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consumer Goods, Branded Goods, Trade
Employer reviews
by devworkplaces.com
Total
(1 Review)3.1
Career Growth
3.0Culture
3.2Engineering
3.2Workingconditions
3.0
Manager Data Engineer
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
