Analytics Engineer (f/m/d)

Join to apply for the Analytics Engineer (f/m/d) role at adjoe

The Programmatic Solutions team powers adjoe's real-time ad network solution integrated with leading mobile mediation platforms on both Android and iOS.

Our focus lies in building adjoe's own DSP – a smart bidder leveraging machine learning to optimize campaign performance by predicting conversion probability and lifetime value in real time.

The team is responsible for both the adjoe Ads platform that decides which ad to display and our Android/iOS SDKs that render these ads and provide tracking events to the backend. We've also developed tools through which app publishers can manage their integration, analyze monetization performance, and assess ad user experience through dashboards and APIs.

For potential teammates across all disciplines, working in the Programmatic Solutions team means applying your problem-solving skills in adjoe's advanced programmatic ecosystem where milliseconds directly impact both revenue and relevance.

What you will do:

1. Work closely with DS, DA and DE: Spearhead analysis to identify key improvements for our ad network.
2. Data analysis and signal extraction: Crunch large datasets to identify relevant signals and metrics that fuel our predictive models.
3. 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.
4. Create and Manage Data Models and Dashboards: Develop data models and dashboards to visualize key performance indicators and provide actionable insights.
5. Bridge the Gap Between Analysis and Engineering: Translate analytical requirements into technical solutions. Contribute to build pipelines for our Deep learning model needs.

Who you are:

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

Our Tech Stack

• 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.

Benefits to Support Your Ambitions

• 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.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting