Job description

Company Description

Job Description

We are looking for a (Senior) Analytics Engineer (m/f/d) to be part of the development of our Customer & Shop Intelligence Circle Cluster. 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

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.
Your specific focus will be on providing stable and maintainable data pipelines and improving automated data quality monitoring.

What you will do

Design, build, and maintain high-performance, scalable, and well-documented data pipelines
Develop and implement a statistical testing framework to evaluate and visualize the impact of new features in collaboration with other teams
Create automated monitoring and alerting systems to ensure data integrity and proactively identify anomalies
Lead the migration of data infrastructure from legacy systems, minimizing disruption and maximizing performance
Set data engineering standards, share knowledge, and promote best practices within the team

Who you are

At least 3 years of working experience as Analytics Engineer
Proven experience building and maintaining large-scale data pipelines using SQL and Python
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
Expertise in Python libraries like Pandas, and NumPy for data manipulation, and libraries such as Matplotlib, Seaborn, Plotly, or Bokeh for data visualization
Expertise in statistical testing frameworks (e.g., SciPy, StatsModels, dplyr, tidyr) with Python or R
Solid understanding of statistical testing methodologies
Proficiency in data orchestration tools (like Airflow, dbt, metaflow, …)
Experience working with raw tracking data (GA4 experience is a plus)
Strong grasp of version control (e.g., GitLab) and data warehousing principles (e.g., Google BigQuery)
Able to work and drive topics independently with stakeholders
Excellent communication skills to convey complex ideas clearly and simply
Excellent written and verbal communication skills in English
Pragmatic problem solver who thrives on getting things done

Nice to have

In-depth knowledge of BigQuery, including cost optimization techniques and complex functionalities
Experience with CI/CD tools like GitLab CI/CD and infrastructure-as-code tools such as Terraform
Familiarity with GCP or AWS, particularly infrastructure-as-code and CI/CD pipelines.
Practical experience with containerization technologies like Docker

What you will get on top

Grow together with one of the fastest growing eCommerce companies in Europe
Flexible working times
40% discount on our online shop
Fresh fruits + drinks everywhere
Language courses (German & English)
Free sports courses & reduced price for gym membership
Subsidized public transportation ticket
Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage
State-of-the-art tech stack running on AWS
Modern office in the city center of Hamburg
International working environment and English as company language
Company flats (subject to availability)
Agile work environment (MOVE) and cross-functional teams
Free access to Germany’s greatest developer conference code.talks
German health insurance included
Help in relocation and VISA process

Required profile