Databricks AI/BI Engineer (all genders)

Zalando

Berlin

On-site

EUR 70,000 - 100,000

Full time

4 days ago
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Benefits offered by this job

27 days of holiday a year to start for
40% off fashion and beauty products
Family support, counselling and care
Company pension scheme
Employee shares programme
Wellhub Mental health support
Training platform access
2 paid volunteering days a year
Relocation assistance

Job summary

Zalando in Berlin seeks a motivated Software Engineer to grow in AI/BI, contributing to Data Products and Databricks-based pipelines. You’ll learn governance, metric views, and interactive dashboards while collaborating with senior engineers to deliver scalable data solutions.

You’ll work on building metric views, data pipelines, and governance practices, with a focus on Python, PySpark, and Spark. A strong communication culture and cross-team collaboration are valued.

Qualifications

  • Python and PySpark experience for data manipulation and modeling.
  • Hands-on Databricks knowledge including Unity Catalog and DLT.
  • Ability to build dashboards and metric views for data-driven decisions.
  • Understanding of data governance, security standards, and REST APIs.
  • Familiarity with Git, CI/CD and Terraform for DevOps basics.

Responsibilities

  • Dashboards & Metrics: Build Metric Views and interactive Databricks Dashboards.
  • Data Product Support: Ensure reliability, quality, and performance of Data Products.
  • Pipeline Development: Build and maintain ELT pipelines with Delta Live Tables.
  • Governance & Security: Apply Databricks Unity Catalog standards.
  • Data Quality & Problem Solving: Troubleshoot data quality issues and dashboard failures.
  • Team Collaboration: Work with engineering teams and Zalando Data Foundation.
  • Knowledge Sharing: Document work and share lessons learned.

Skills

Python
PySpark
Data Modeling
Data Governance
Dashboarding
Troubleshooting
English communication
Spark

Tools

Databricks
Unity Catalog
Delta Live Tables
Docker
CI/CD
Terraform
REST APIs
Git
AWS

Job description

THE ROLE & THE TEAM

We are looking for a motivated and curious Software Engineer to join our team and grow their career in AI/BI. In this role, you will work closely with senior engineers to learn, build, and support our department’s Data Products. You will gain hands‑on experience with the Databricks ecosystem, contributing to scalable data pipelines, learning to implement Data Governance, and helping design Metric Views, Genie and interactive Databricks Dashboards.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
  • Dashboards & Metrics: Help build Metric Views and develop interactive Databricks Dashboards to support data-driven decision-making across teams.
  • Data Product Support: Share responsibility for the reliability, quality, and performance of our department’s Data Products.
  • Pipeline Development: Assist in building and maintaining scalable ELT pipelines using Databricks Delta Live Tables (DLT) under the guidance of senior team members.
  • Governance & Security: Learn and apply Data Governance and security standards using Databricks Unity Catalog.
  • Data Quality & Problem Solving: Perform basic technical analysis and root cause analysis to troubleshoot data quality issues and Databricks dashboard failures.
  • Team Collaboration: Work closely with engineering teams and the Zalando Data Foundation to integrate and streamline data flows.
  • Knowledge Sharing: Document your work, record lessons learned, and participate in building a collaborative, high-performance data culture.
WE’D LOVE TO MEET YOU IF
  • Metric View and Genie: Define and maintain metric views and business logic so natural language queries map correctly to governed KPIs.Build and maintain Genie Spaces, iterating on data room composition and instructions to improve response accuracy and relevance.
  • Databricks Fundamentals: You have foundational experience or hands‑on coursework/project experience with Databricks (e.g., Unity Catalog, Delta Live Tables, Metric Views, Workflows, or Dashboard creation).
  • Programming & Spark: You are proficient in Python and have exposure to Apache Spark (PySpark) for data manipulation.
  • Data Architecture Concepts: You understand the basics of the Medallion Architecture (Bronze, Silver, Gold). Analyze failure modes (ambiguous questions, join errors, misinterpreted metrics) and iterate on fixes — via schema improvements, better metadata, or prompt/instruction tuning
  • Data Modeling: You can translate basic business requirements into clean tabular models optimized for analysis and reporting.
  • DevOps Basics: You have foundational knowledge of Version Control (Git) and basic familiarity with concepts like Docker, CI/CD, or Infrastructure as Code (Terraform).
  • Cloud & Web Basics: You possess a working understanding of Cloud basics (AWS) and REST APIs.
  • Soft Skills & Mindset: You have strong problem‑solving skills, an eagerness to learn from senior peers, and good verbal and written English communication skills to document work clearly.
OUR OFFER

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)
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

It’s the perfect time to join Zalando on our journey, from being a pioneer in the world of e-commerce, to the Starting Point for Fashion in Europe. We connect customers, brands, and partners across 25 markets. Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head‑to‑toe fashion to 50 million active customers through a team of diverse skill‑sets, cultural backgrounds, and interests. Our values do.More - our sustainability strategy

Follow us on Instagram: instagram.com/insidezalando

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