Data Engineer: Sales&Revenue Data (all genders)

Arbeitsagentur; Berlin; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

27 days of holiday a year

Employee shares programme

Company pension scheme

Wellbeing options

Mental health support

Volunteer days

Zusammenfassung

Zalando seeks a Data Engineer for the Sales and Revenue Data team in Berlin to own data products and ensure data quality across campaigns, finance, and strategic initiatives. You will transform multi-source streams into the single source of truth powering analytics and reporting.

Ideal candidates have hands-on dbt, SQL, Python skills, plus experience with Databricks or AWS, and a strong DevOps mindset to automate deployments and monitoring.

Qualifikationen

• Proficient in dbt, SQL and Python, building production data assets.
• Experience turning raw data into reliable, analytics-ready datasets.
• Strong DevOps practices for data, including CI/CD and IaC.
• Ability to translate stakeholder needs into practical data products.
• Design modular data models that scale with business needs.

Aufgaben

• Transform raw data into structured, analysis-ready formats using SQL.
• Design and maintain flexible data models for analytics and reporting.
• Define data quality standards, SLAs, monitoring and incident response.
• Collaborate with stakeholders to deliver useful data solutions.
• Champion a high-data-quality culture through reviews and standards.

Kenntnisse

dbt

SQL

Python

DataOps

Tools

Databricks

AWS

Jobbeschreibung

THE ROLE & THE TEAM

As a Data Engineer within the Sales and Revenue Data team, you will take ownership of the integrity and excellence of the data products relied upon by ZMS and its partners. You will champion a robust data culture where precision is paramount, user needs are deeply integrated, and every product secures the absolute trust of its stakeholders. Collaborating across engineering, analytics, and business units, you will transform multifaceted data streams into the definitive source of truth that fuels campaign effectiveness, financial reporting, and the overarching strategic vision of ZMS.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Master Data Transformation: Use sql to transform raw data into structured, analysis-ready formats, ensuring data quality and integrity across all our pipelines.
• Design Data Models: Design and maintain flexible, robust data models that serve as the backbone for analytics, reporting, and operational needs across ZMS and Zalando.
• Own Data Reliability: Define and uphold quality standards for our data products, from SLAs and data contracts to monitoring and incident response, ensuring our customers can always trust what they see.
• Champion the Customer: Deeply understand the needs of our operators, analytics partners, and financial stakeholders, and translate those needs into data products that are accurate, timely, and actually useful.
• Elevate Data Culture: Set the bar for data quality across the team: drive standards, run reviews, and help engineers and analysts grow their data craft.

WE’D LOVE TO MEET YOU IF

• You're fluent in dbt, SQL, and Python, with a track record of turning messy raw data into reliable, production-ready assets.
• You've owned data products end-to-end, so you know where they tend to break, how to set high quality standards, and why cutting corners never pays off.
• You bring strong DevOps habits to data—comfortable managing infrastructure as code, setting up CI/CD pipelines, and automating deployments
• You talk directly with stakeholders to uncover what they actually need, building practical tools rather than just chasing technical novelties.
• You design for the long haul, creating modular data models that scale smoothly as business needs evolve.
• You're comfortable in cloud-native setups and have hands‑on experience with platforms like Databricks or AWS.
• You treat data quality as non‑negotiable—whether using dbt tests, data contracts, or custom frameworks, you keep data trustworthy.
• You translate complex technical details into clear, simple language that helps non‑technical partners take action.
• Nice to have: Experience building data infrastructure that supports ML or AI workflows.

OUR 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

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.

Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion