Analytics Engineer

Almedia
Berlin, Germany
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
€70,000.0 - €140,000.0
Working hours
Regular working hours
Job source

Tech stack

Airflow Amazon Web Services Data Analysis BigQuery Continuous Integration Data Validation Data Infrastructure Data Warehousing Python (Programming Language) Performance Tuning Cloud Services SQL Databases
+4 more
Snowflake Git Data Analytics Software Version Control

Job description

  • 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.

Requirements

  • 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.

About the company

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.

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Inside Almedia

Culture, engineering, and team stories

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

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