Browse all jobs
    Almedia

    Analytics Engineer

    Almedia
    Berlin10 hours ago
    Data & AI
    Analytics Engineering
    Mid-Level
    Onsite
    €70K – €140K

    Summary

    Analytics Engineer at Almedia, a fast-growing marketing tech company. You will design, build, and maintain data models using SQL and dbt, ensuring data quality and supporting self-service analytics. Requires 2-4 years of experience with SQL, Python, and data warehousing concepts.

    Location
    Berlin
    Type
    full-time
    Level
    Mid-Level
    Work mode
    onsite
    Salary
    €70K – €140K

    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.

    Analytics Engineer

    Almedia · Berlin

    Apply for this role

    We use analytics cookies (Umami, Vercel) and a feedback widget (Userback) to improve Joblyst. You can accept or reject non-essential cookies. Cookie policy