Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop ETL/ELT pipelines for data integration, optimize data models for self-service analytics, and work on enhancing a cloud data platform in close collaboration with stakeholders.
Job Technologies
Your role in the team
- You develop, implement, and maintain scalable ETL/ELT pipelines for data integration and actively support the migration.
- You develop robust loading processes and interfaces to automate the extraction of raw data and load it into the data platform.
- You make complex data sets usable for BI tools through intelligent transformations and sustainably simplify data structures.
- You build new data products and continuously develop them within our modern cloud data platform.
- You model, optimize, and document data models and data pipelines to provide reliable data for self-service analytics.
- You conduct data quality checks and ensure the timely delivery of consistent, error-free data across various systems.
- You optimize existing data infrastructures in terms of performance, stability, and maintainability, ensuring secure data handling throughout the entire process.
- You manage the technical interface to stakeholders, Product Owners, development teams, as well as BI colleagues, thereby ensuring the operational daily business in an agile environment (Scrum & Kanban).
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Our expectations of you
Qualifications
- You possess solid programming skills in Python and a strong affinity for modern data platform development - ideally utilizing AI-powered tools.
- You have good basic SQL skills and are confident in working with relational databases.
- You have a strong understanding of interfaces and enjoy building complex ETL/ELT pipelines and data integration platforms hands-on.
- You have a precise, structured, and solution-oriented working style and the ability to translate technical requirements directly and pragmatically into stable data products.
- You excel in communication skills within a technical context while maintaining a focused work style.
- You possess business-fluent German and English skills.
Experience
- You have at least 3 years of professional experience in a Data Engineering environment or a similar role (e.g., Data Engineer, Data Warehouse Engineer, Data Platform Engineer).
- Ideally, you have experience with cloud-based data platforms such as Databricks or Google BigQuery, as well as with BI/visualization tools like Power BI.
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What we offer
- Health & Well-being: Free coffee, tea, beverages, fresh fruit and vegetables, as well as discounted meals in the cafeteria or meal allowances (location-dependent).
- Modern workplaces for all needs.
- Culture & Development: We value personal responsibility, flat hierarchies, and open feedback.
- We foster a team spirit where support and collaboration are highly valued.
- Enjoy 2 Learning Days per quarter, an internal learning campus, and external development opportunities.
- Flexible Work-Life Balance: Enjoy flexible working hours and various options for remote work.
- Celebrations & Milestones: Team events and special acknowledgments for birthdays & anniversaries.
- Location-specific benefits: Tailored benefits designed to meet the needs of each respective location.
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Benefits
Food & Drink
Health, Fitness & Fun
Work-Life-Integration
More net
Topics that you deal with on the job
Job Locations
This is your employer
BDSK Handels GmbH & Co. KG
The XXXLutz Unternehmensgruppe operates more than 260 furnishing stores in eleven European countries and employs more than 22,200 employees and employees. In Germany, more than 11,000 employees contribute to the success of the group, which operates 46 XXXLutz furnishing stores and 39 Mömax trend pick-up shops here. With a annual turnover of 4.4 billion euros, the XXXLutz Unternehmensgruppe is one of the largest furniture retailers in the world.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Data Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
