Analytics Engineer

adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.

Meet Your Team: Programmatic Supply

Did you know that in-app ads are sold in a real-time auction before they get rendered by adjoe’s Android and iOS SDK in thousands of mobile apps? 

It’s exactly for this that adjoe has built its own adtech platform. Our backend system can simultaneously handle a few billion auctions in real-time every day. It receives price bids for every ad impression via API from more than 20 different companies buying potential ad inventory. 

Behind the auction scenes, we have impressive prediction models working to figure out if an ad is relevant to a user. Our algorithm requires operating data from multiple data sources and performs calculations in real-time. 

Join our discussions, explore implementation, and put your problem-solving skills to the test in our cross-functional Programmatic Supply team!

• Work closely with DS,  DA and  DE:  Spearhead analysis to identify key improvements for our ad network.
• Data analysis and signal extraction: Crunch large datasets to identify relevant signals and metrics that fuel our predictive models.
• Contribute to the tooling for online controlled experiments: Develop and maintain tools to support A/B testing and other online experiments, ensuring reliable and accurate results.
• Create and Manage Data Models and Dashboards: Develop data models and dashboards to visualize key performance indicators and provide actionable insights.
• Bridge the Gap Between Analysis and Engineering: Translate analytical requirements into technical solutions. Contribute to build pipelines for our Deep learning model needs. 

• You have experience in data analysis, data engineering or analytics engineering, with a strong focus on SQL, Python, and Big Data framework. 
• You are a critical thinker. Profficient in extracting and manipulating data to provide actionable insights.
• You are familiar with online experimentation practices. 
• You have experience building and maintaining data pipelines and analytical workflows.
• You have experience working with large datasets and analytical databases.
• Plus: You have experience with scheduling frameworks such as Airflow.

• Apache Kafka as our data bus system
• Python / Sql for analytics, Golang for backend
• Kubernetes and Terraform to manage our infrastructure
• Airflow for orchestration. 
• Presto, Spark for data processing. 
• Prometheus, Grafana, and OpenObserve for logging and monitoring
• … and we’re always open to trying new technologies that suit each case best.

• Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals.
• Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.
• Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP).
• Thrive Where You Work: Enjoy the Alster lake view from our central office with top notch equipment, fun open spaces, and a large variety of snacks and drinks.
• Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.

Skip writing cover letters. Tell us about your most passionate personal project, your desired salary, and your earliest possible start date. We are looking forward to your application!

We welcome applications from people who will contribute to the diversity of our company.