Analytics Engineer
Almedia, Europe's #3 fastest-growing company in 2025, seeks a mid-level Analytics Engineer to build clean data models and infrastructure using SQL, dbt, and modern data stacks. Based in central Berlin, this role offers equity, a competitive salary (€70K-€140K), and a fast-paced growth environment.
Responsibilities
- Design, build, and maintain clean, scalable, and performance-optimised data models using SQL and dbt.
- Apply software engineering practices to analytics code, including version control, testing, and continuous integration.
- Automate and streamline data validation, testing, and reporting processes.
- Take ownership of data analysis for a designated domain, collaborating with Product Analysts, Data Scientists, and Business Stakeholders.
- Proactively monitor data integrity, identify issues, and perform root cause analysis.
About the role
This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000).
We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.
Analytics Engineer
(€70K – €140K
- Offers Equity
- Offers Bonus)
Join our team as an Analytics Engineer, where you'll ensure our data is clean, accessible, and ready for analysis. As a core member of our analytics team, you’ll ensure our data infrastructure effectively supports self-service analytics, insightful reporting, and business intelligence across the organisation.
What You’ll Do 🎯
- Design, build, and maintain clean, scalable, and performance-optimised data models using SQL and dbt.
- Apply software engineering practices to analytics code, including version control, testing, and continuous integration.
- Automate and streamline data validation, testing, and reporting processes.
- Take ownership of data analysis for a designated domain, collaborating closely with Product Analysts, Data Scientists, and Business Stakeholders to meet their analytical and reporting needs.
- Proactively monitor data integrity, identify issues, and perform root cause analysis.
- Maintain comprehensive data documentation and definitions for easy reference and understanding.
- Train business users on utilising the data platform and data visualisation tools effectively.
What You’ll Bring 💡
- 2-4 years of experience as an Analytics Engineer, Data Analyst, or similar role.
- Experience in marketing analytics, with proficiency in SQL and Python.
- Understanding of data warehousing concepts, data modelling, and performance optimization.
- Knowledge of data validation, testing frameworks, and version control best practices (Git).
- Familiarity with modern data stacks (dbt, Snowflake/BigQuery/Redshift, Dagster/Airflow) and cloud data platforms (GCP, AWS).
- Ability to communicate complex analytical findings clearly and concisely to diverse audiences, influencing data-driven decisions.
What Makes You a Great Fit 🌟
- Passionate about transforming data into actionable insights.
- A detail-oriented problem-solver who excels in a collaborative environment.
- Eager to innovate and continuously improve data processes.
Why Almedia? 🎁
- Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.
- Scale With Almedia: Grow alongside a startup that has been profitable from day one.
- Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.
- Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.
We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.