Level
Senior
Ort
Berlin
Arbeitsmodell
Onsite
Job Feld
Data, Back End
Anstellung
Vollzeit
Vertragsart
Unbefristetes Dienstverhältnis

Job Zusammenfassung

In dieser Position entwirfst und implementierst du ein Databricks Lakehouse für das CRM, entwickelst ETL-Pipelines, sicherst GDPR-Konformität und baust BI-Lösungen zur Vorhersage von Kundenverhalten.

Job Technologien

Deine Rolle im 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).

Unsere Erwartungen an dich

Qualifikationen

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.

Erfahrung

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.

Unser Angebot

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).