Senior Data Engineer (all genders)

Zalando GmbH

Berlin

Hybrid

EUR 90,000 - 110,000

Full time

41 hours ago
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Benefits offered by this job

27 days holiday
Fashion discount
Family support
Pension scheme
Employee shares
Wellbeing options
Mental health support
Training platform
Volunteer days
Relocation assistance

Job summary

Zalando GmbH in Berlin seeks a Senior Data Engineer to design and implement a greenfield Databricks Lakehouse for our CRM domain, connecting Salesforce and key data sources. You will build scalable pipelines and the ML infra needed for advanced customer forecasting and strategic business decisions.

As a technical design authority, you will drive end-to-end data pipelines (ETL/ELT), apply Terraform to secure the Databricks workspace, lead data monitoring and BI dashboards, mentor colleagues, and

Qualifications

  • 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.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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).
  • Support and influence across the team to continuously improve data engineering standards and practices.

Job description

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.

WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)
  • 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).
  • 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.
OUR OFFER

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).
INCLUSIVE BY DESIGN

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.

We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.

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.

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