Jobs and Careers
ZA
Senior Principal Data Engineer
ZalandoGermanyfull_timeVerifiedPosted 12 Jul 2024
About the role
<h1><b><b>THE OPPORTUNITY</b></b></h1><p><span>At Tradebyte you work hand in hand with the biggest players in e-commerce – from hip fashion brands to big online shops. We offer you an open work structure and an incomparable team spirit. We believe that work and passion are compatible and for that we offer the appropriate surroundings. With continuous growth, we are looking for new colleagues who share our passion for work. Love what you do – do what you love. Become part of Tradebyte, an independent company within the Zalando Group!</span></p><p></p><h1><b><span>WHAT WE'RE LOOKING FOR</span></b></h1><p><span>Emerging fashion scale-ups, global players or the biggest platforms — we connect and integrate. Our mission: scalable solutions for joint growth. Growth requires sustainable execution on smart insights: and therefore we are rethinking our business intelligence from scratch.</span></p><p><span>Our objectives: reliable and repeatable insights, and therefore high data quality, robust data models, and fast iterations but within sustainable designs. We see strong data normalisation, frequent knowledge-sharing and intense collaboration, whether remotely or onsite, as key factors for scalability.</span></p><p><span>Passionate curiosity we consider the seed for creativity and innovation, sparking surprising solutions off the beaten track. We build on our team spirit, encouraging unconventional thinking and challenging each other smartly — thus becoming creators of change.</span></p><p><span>What we’d love to see:</span></p><ul><li><p><span>You have an extensive knowledge of SQL and a deep understanding of relational database modelling and the normalisation thereof.</span></p></li><li><p><span>You have several years of experience in </span>designing and expanding data models; building and maintaining ELT data pipelines, and maintaining RDBMS.</p></li><li><p><span>You bring profound abilities to translate requests for insights into a corresponding BI logic in SQL and/or Python.</span></p></li><li><p><span>You are familiar with Docker, Git (trunk-based development), DevOps & Shell scripting.</span></p></li><li><p><span>You are experienced in performing technical analysis for debugging and data quality improvements.</span></p></li><li><p><span>You have a good understanding of REST APIs, File Transfer (S3)</span></p></li><li><p><span>You can count on excellent verbal and written communication skills in English and bring the ability to accurately document designs and processes.</span></p></li></ul><p><span>What we’d additionally appreciate:</span></p><ul><li><p><span>You bring experience with DBT, OAuth, ArgoCD, GitLab, AWS (e.g., Airflow), Kubernetes, Meltano, Singer, and Salesforce.</span></p></li><li><p><span>You have knowledge of PostgreSQL-internals</span></p></li></ul><p><b><span> </span></b></p><h1><b><span>YOUR RESPONSIBILITIES</span></b></h1><ul><li><p><span>You will take in the team end-to-end responsibility from data ingestion to presenting ready-to-use insights (dashboards, reports etc.).</span></p></li><li><p><span>You will liaise with the owners of source systems to align the data contracts.</span></p></li><li><p><span>In particular, you will create, extend, change and support </span>the underlying relational database data model; the data injection and transformation pipelines; the source system data exchange interface specifications; the analytical queries, and data visualisations.</p></li><li><p><span>You will perform root cause analysis in collaboration with other teams, and recommend and implement changes to improve data quality.</span></p></li><li><p><span>You will contribute to KPI definitions for data analytics together with the business, and will help ensuring visibility between internal teams and departments.</span></p></li><li><p><span>You build and maintain strong working relationships with the development and business teams.</span></p></li><li><p><span> You record and share information on current working methods and lessons learned from other parts of the business that will benefit the role and team.</span></p></li></ul><p><br/><br/><br/> </p>
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