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Senior Data Engineer - Zalando Marketing Services
  • Python
  • Spark
  • Java
  • Machine Learning
  • Data Analysis
  • Database
  • ETL
  • Hadoop
  • Cassandra
  • Scala
  • Redis
  • Kafka
Zalando
Berlin
52 days ago

Every time a customer searches for products on Zalando, a bidding request is sent to our system in real-time. The system aggregates relevant data points, evaluates thousands of candidate ads with our machine learning models, and decides what ads to show where - all within 10-30 ms. Every second, we score tens of thousands of ad contents.
As a Senior Data Engineer, you will develop and improve our Sponsored Product advertisements through data engineering. You will design, develop and run the data infrastructure that supports this system. The technical scope covers large-scale batch processing, Data Warehouses, ETL, data analysis as well as stream processing and distributed low-latency databases.

WHERE YOUR EXPERTISE IS NEEDED

  • Provide critical data infrastructures like large-scale ETL processes, DWHs, stream processing and batch processing pipelines, large-scale high-throughput/low-latency data stores, data governance mechanisms and so on
  • Improve the pace of innovation by building and improving ML infrastructures such as training/evaluation frameworks, experimentation frameworks
  • Collaborate with brilliant Product Managers, Data Scientists, Engineers and Analysts across Zalando to create positive customer impact together
  • Help define our team's objective. Continuously improve the self-organization of the team.
  • Act as a Mentor to the team members and help grow junior and mid-level members of the team

WHAT WE'RE LOOKING FOR

  • A few good years of experience in large-scale data engineering using open source technologies
  • Solid experience with large-scale batch processing and stream processing (e.g. Spark, Hadoop, Flink, Storm, Apache Beam, Kafka, Airflow, Oozie etc.)
  • Passionate about topics like data democratization, data governance, privacy, data quality assurance
  • Proficient in at least one of the languages : Python, Scala, Java
  • Excellent knowledge of distributed databases, especially high-throughput/low-latency data stores like DynamoDB, Cassandra, Aerospike, Redis etc.

PERKS AT WORK

  • A workplace run on trust, empowerment and feedback; positive, inspiring working atmosphere
  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
  • Mentoring and personal development opportunities and an international team of experts
  • Relocation assistance for internationals, PME family service and parent & child rooms* (*available in select locations)

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.

ABOUT ZALANDO MARKETING SERVICES

Zalando Marketing Services (ZMS) is the 360° marketing unit of Europe 's leading online platform for fashion and lifestyle, Zalando. We work with the world's largest fashion and lifestyle brands and provide them with impactful solutions across all marketing touchpoints, access to relevant audiences and in-depth data knowledge, as well as inspiring creation and content.

At ZMS we create meaningful connections between brands and consumers through a deep understanding of their personalities. We work with brands, agencies and publishers from fashion and beyond to produce innovative, impactful campaigns that reach the right audience at the right moment. Thanks to its holistic mix of cutting-edge and privacy compliant technology, in-depth audience insights, expansive reach and compelling content brands produce successful campaigns across multiple digital marketing channels.

For more information check out this link:https://zms.zalando.com/

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