Analytics Engineer
AlmediaJobsCloseBy Editorial Insights
Almedia is seeking an Analytics Engineer in Berlin for a full-time onsite role focused on clean, scalable data models, self service analytics, and reliable reporting. You’ll design models with SQL and dbt, apply software engineering practices to analytics, automate validation, own a data domain, monitor integrity, maintain documentation, and train business users. Ideal candidates have 2 to 4 years in analytics engineering or similar, marketing analytics experience, proficiency in SQL and Python, data warehousing know-how, Git, and familiarity with dbt and cloud platforms such as Snowflake, BigQuery or Redshift plus Dagster or Airflow. To apply, tailor your resume to show domain ownership, share measurable outcomes, link to dashboards or a dbt project, and demonstrate clear communication of results while noting willingness to work onsite in Berlin and alignment with Almedia’s growth and equity opportunity.
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 60 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
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.