Analytics Engineer at Almedia (Berlin, Germany)
Almedia· Berlin, Germany· €70k–€140k·
Role details
Equity · Bonus · Transport Subsidy · Breakfasts And Lunches · Language Learning · Urban Sports Club
Summary
Join the core analytics team to build and maintain scalable data models and infrastructure supporting self-service analytics and business intelligence. You will ensure data integrity, automate reporting processes, and collaborate with stakeholders to drive data-driven decisions.
Job description
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.
Why work at Almedia
- Culture of ownership and impact: Values like “Own Everything, Get It Done” and “Focus on Impact” mean employees take real responsibility early. Described as “not a 9-5 – we highly reward intensity.”
- High growth environment: 51.5% headcount growth YoY with 54 open positions as of mid-2026. Opportunity to accelerate career faster than at larger companies.
- Fully in-office: 5 days a week in Berlin to build “energising momentum” – team collaboration is a core value.
- Competitive compensation: Employer rating of 4.0/5.0 for compensation on LinkedIn (3.8 overall). Revenue in nine figures.
- Engineering-centric: 15% of staff in technical roles; hiring for Founding Engineer, AI Full Stack Engineer, Data Scientist – suggesting strong engineering culture and modern stack.
- Notable perks: Being part of a bootstrapped unicorn story; work with a young, international team (average age likely mid-20s). Recent alumni go to fast-growing startups like Trade Republic, Moloco.