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Zalando

Senior Data Engineer (all genders)

  • Office
  • 6+ years
  • English (B2)

Salary

Not stated

Similar roles pay €45K - 85K a year · our estimate

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Description

The company is building a new Databricks lakehouse for its CRM domain, linking Salesforce with other key data sources.

You will create scalable pipelines and the machine learning infrastructure that supports customer forecasting and business planning.

You can apply even if you do not meet every requirement, as the team may find you a fit for this or another role.

Responsibilities

  • Act as the technical design authority and lead delivery of end-to-end ETL and ELT pipelines.
  • Turn raw data from Salesforce, Redshift and the data lake into a high-quality Medallion architecture.
  • Use Terraform to provision, configure and secure the Databricks workspace and Unity Catalog.
  • Apply strict GDPR and PII rules to partner data through Unity Catalog policies.
  • Lead the build of monitoring dashboards and BI solutions using Databricks SQL and MicroStrategy.
  • Design a two-way data flow that supports CRM activation through reverse ETL and customer forecasting.
  • Serve as the main technical expert, mentoring colleagues, reviewing code and setting engineering practices for alerting and performance tuning.

Requirements

  • At least 5 years as a data engineer, including at least 3 years in production work with Databricks, Spark and Delta Lake.
  • Experience designing and driving systems that span several components, especially integrations with enterprise CRM platforms.
  • Skilled in Terraform, advanced Python and CI/CD for scalable ETL and ELT pipelines and ML infrastructure, including MLflow and Databricks Genie.
  • Deep knowledge of data governance, security and quality, such as Unity Catalog and PII handling, to set standards for sensitive customer data.
  • Strong self-direction and a drive to deepen your technical knowledge.
  • Fluent English.

Conditions

The company welcomes applicants from all backgrounds and will support any accommodation you need during hiring.

Benefits

  • 27 days of holiday a year to start for full-time employees, rising by one day per calendar year up to 30 days.
  • 40% off fashion and beauty products sold and shipped by the company, 30% off Lounge, and discounts from external partners.
  • Family support, including counselling and dedicated services for parents and carers.
  • Company pension scheme.
  • Employee share programme.
  • Health and wellbeing options, including Wellhub.
  • Mental health support and coaching.
  • Training platform and peer-to-peer reviews twice a year.
  • 2 paid volunteering days a year.
  • Relocation assistance, subject to prior agreement.

Where you’d work

From the office

About the company

Zalando

  • Industry: E-commerce

Offices in Berlin, Germany, Germany

Also hiring in Dublin, Ireland, Ireland, Zurich, Switzerland and 3 more places

1 of their 40 open roles is remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 20 checks run
  • 2 red flags

Still hiring?

13 checks

No red flags

How crowded?

7 checks

2 red flags

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  • Must-haves
Details14 facts · Role, Location, Compensation, Employment, Company, Requirements
Tech stack
  • Python
  • SQL
  • Spark
  • Databricks
Seniority
Senior
Type
Full-time
Industry
E-commerce
Specialty
Data Engineering
Region
Europe
Show 8 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Senior
Experience
5+ years
Tech stack
  • Python
  • SQL
  • Spark
  • Databricks

Location

Work model
Office
Region
Europe
Offices
  • Berlin, Germany
  • Germany
Relocation
Offered

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
E-commerce

Requirements

Languages
  • English (B2)

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