backend

ABOUT YOU

<div><section><div><p></p><h2>Company Description</h2></div><div><p> </p><ul></ul></div></section><section><div><p></p><h2>Job Description</h2></div><div><p>We are looking for a <strong>(Senior) Analytics Engineer (m/f/d)</strong> to be part of the development of our <strong>Customer &amp; Shop Intelligence Circle Cluster</strong>. The Circle Cluster consists of a wide range of developers, data analysts, and data scientists who work on enabling personalization and inspiration in our shop. They work with a wide range of stakeholders and are key enablers to support the business towards achieving goals and objectives as well as making educated decisions based on data. The overarching goal is to help improve and personalize users’ shopping experience</p><p>The Team is responsible for defining tracking requirements, creating and maintaining data pipelines, designing and implementing attribution and scoring models, analyzing and interpreting complex data sets, creating actionable dashboards.<br> Your specific focus will be on providing stable and maintainable data pipelines and improving automated data quality monitoring.</p><p> </p><p><strong>What you will do</strong></p><ul><li>Design, build, and maintain high-performance, scalable, and well-documented data pipelines</li><li>Develop and implement a statistical testing framework to evaluate and visualize the impact of new features in collaboration with other teams</li><li>Create automated monitoring and alerting systems to ensure data integrity and proactively identify anomalies</li><li>Lead the migration of data infrastructure from legacy systems, minimizing disruption and maximizing performance</li><li>Set data engineering standards, share knowledge, and promote best practices within the team<br> </li></ul><p><strong>Who you are</strong></p><ul><li>At least 3 years of working experience as Analytics Engineer</li><li>Proven experience building and maintaining large-scale data pipelines using SQL and Python</li><li>Experience building and maintaining dashboards using at least one modern BI tool like Looker, Tableau, Power BI, or open-source alternatives like Streamlit or Dash</li><li>Expertise in Python libraries like Pandas, and NumPy for data manipulation, and libraries such as Matplotlib, Seaborn, Plotly, or Bokeh for data visualization</li><li>Expertise in statistical testing frameworks (e.g., SciPy, StatsModels, dplyr, tidyr) with Python or R</li><li>Solid understanding of statistical testing methodologies</li><li>Proficiency in data orchestration tools (like Airflow, dbt, metaflow, …)</li><li>Experience working with raw tracking data (GA4 experience is a plus)</li><li>Strong grasp of version control (e.g., GitLab) and data warehousing principles (e.g., Google BigQuery)</li><li>Able to work and drive topics independently with stakeholders</li><li>Excellent communication skills to convey complex ideas clearly and simply</li><li>Excellent written and verbal communication skills in English</li><li>Pragmatic problem solver who thrives on getting things done<br> </li></ul><p><strong>Nice to have</strong><br> </p><ul><li>In-depth knowledge of BigQuery, including cost optimization techniques and complex functionalities</li><li>Experience with CI/CD tools like GitLab CI/CD and infrastructure-as-code tools such as Terraform</li><li>Familiarity with GCP or AWS, particularly infrastructure-as-code and CI/CD pipelines.</li><li>Practical experience with containerization technologies like Docker<br> </li></ul><p><strong>What you will get on top</strong><br> </p><ul><li>Grow together with one of the fastest growing eCommerce companies in Europe</li><li>Flexible working times</li><li>40% discount on our online shop</li><li>Fresh fruits + drinks everywhere</li><li>Language courses (German &amp; English)</li><li>Free sports courses &amp; reduced price for gym membership</li><li>Subsidized public transportation ticket</li><li>Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage</li><li>State-of-the-art tech stack running on AWS</li><li>Modern office in the city center of Hamburg</li><li>International working environment and English as company language</li><li>Company flats (subject to availability)</li><li>Agile work environment (MOVE) and cross-functional teams</li><li>Free access to Germany’s greatest developer conference code.talks</li><li>German health insurance included</li><li>Help in relocation and VISA process</li></ul></div></section></div>

(Senior) Analytics Engineer (m/f/d) - Customer & Shop Intelligence