Senior Data Engineer (all genders)

Zalando SE
Berlin, Germany
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Computer Programming Continuous Integration Customer Data Management Data Control Data Governance Extract Transform Load (ETL) Data Transformation MicroStrategy Performance Tuning Salesforce.Com Data Streaming Apache Spark
+6 more
Data Lakes Machine Learning Operations Terraform Data Pipelines Amazon Redshift Databricks

Job description

  • 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)., We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know - we are here to assist you.

Requirements

  • 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.
  • 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.

Benefits & conditions

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

  • 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).

About the company

At Zalando, our vision is to be the leading European technology platform for fashion and lifestyle - one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.

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