Job
- Level
- Senior
- Location
- Berlin
- Working Model
- Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will design and implement a Databricks Lakehouse for the CRM domain, develop ETL pipelines, ensure GDPR compliance, and build BI solutions for customer forecasting.
Job Technologies
Your role in the team
- As the Senior Data Engineer, you will design and implement a greenfield Databricks Lakehouse for our CRM domain, connecting Salesforce and other key data sources.
- You will establish scalable pipelines and the ML infrastructure needed to drive advanced customer forecasting and strategic business decisions.
- You will act as the technical design authority and driver for the end-to-end data pipelines (ETL/ELT), transforming raw data from Salesforce, Redshift, and Datalake into a high-quality Medallion architecture.
- You will apply Infrastructure as Code (Terraform) to provision, configure, and secure the Databricks workspace and Unity Catalog to enforce strict GDPR and PII compliance policies for partner data.
- You will lead the implementation of data monitoring dashboards and BI solutions (Databricks SQL/MicroStrategy) and architect the bi-directional data flow required for CRM activation (Reverse ETL) and advanced customer forecasting.
- You will be the go-to technical expert, mentoring colleagues, reviewing code, and ensuring engineering best practices are defined and followed for operational excellence (e.g., alerting, performance optimization).
Our expectations of you
Qualifications
- Proficiency in Infrastructure as Code (Terraform), advanced Python programming, and CI/CD for building scalable ETL/ELT pipelines and ML infrastructure (MLflow, Databricks Genie).
- Expert knowledge in data governance, security, and quality management principles (e.g., Unity Catalog, PII handling) to establish standards for highly sensitive customer data.
- High initiative and intrinsic motivation for the further development of your own understanding of technical solutions and fluency in the English language.
Experience
- 5+ years of experience as a Data Engineer, with 3+ years specifically working with Databricks, Spark, and Delta Lake in a production environment.
- Proven experience in designing and driving the implementation of systems with cross-component scope, particularly integrating enterprise CRM systems.
What we offer
- Zalando provides a range of benefits, here's an overview of what you can expect.
- 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days).
- 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners.
- Family support, including counselling and dedicated services for parents and carers.
- Company pension scheme.
- Employee shares programme.
- Health and wellbeing options, including Wellhub.
- Mental health support and coaching.
- Development through our training platform and biannual peer-to-peer review.
- 2 paid volunteering days a year.
- Relocation assistance (subject to prior agreement).
Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Zalando SE
Zalando is the leading online fashion platform in Europe, connecting customers, brands, and partners in 17 markets. We offer the latest styles and trends from the best fashion brands around the world, all in one place. With Zalando, you can find the perfect outfit for any occasion, whether you're looking for casual wear, formal wear, or something in between. We also offer a wide range of sizes and styles to suit every customer's needs. Shop with us today and see why we're the leading fashion destination in Europe.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade
Employer reviews
by devworkplaces.com
Total
(1 Review)3.4
Culture
3.5Workingconditions
4.4Engineering
3.1Career Growth
2.6
Senior Data Engineer
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
