Analytics Engineer (m/w/d)

Are you ready to build the #1 recruiting platform in Europe with us? 🚀

As a digital recruiting marketplace, our Data Warehouse (BigQuery + dbt) and analytics stack (Superset + Mixpanel) are crucial for both daily operations and strategic and tactical management decisions. In your role as an Analytics Engineer, you will not only ensure that all relevant data is collected and accessible, but you will also design and optimize data models that power our most critical insights.

You’ll be at the heart of transforming raw data into meaningful stories, driving our business forward with actionable intelligence, and ensuring our stakeholders have the insights they need at their fingertips to make impactful decisions. Your work will directly influence our growth trajectory, making you an essential part of our mission to revolutionize recruiting across Europe!

• Design and Build Data Pipelines: Develop, implement, and maintain efficient ETL/ELT pipelines using DBT and BigQuery to ensure seamless and reliable data flow from various sources into our data warehouse.
• Model and Optimize Data: Create and optimize data models that support strategic decision-making, making sure data is structured, accurate, and easily accessible for both real-time and historical analysis.
• Ensure Data Quality and Integrity: Implement data validation and testing frameworks to monitor the consistency, accuracy, and reliability of our data, ensuring that our stakeholders can trust the insights they receive.
• Collaborate with Cross-Functional Teams: Work closely with product, marketing, and operations teams to understand their data needs and provide them data access.

Must have:

• At least 3 years of experience in a data engineering or analytics engineering role.
• Very good knowledge of Python & SQL. Practical experience with a data modelling tool like DBT. Experience with dimensional data modelling (star schema).
• Good understanding of typical SaaS or marketplace metrics like CAC, CLTV, MRR as well as product metrics and their implementation using a star schema.

Nice to have:

• Experience with a self-service analytics tool like Mixpanel.
• Experience in a fast-paced environment.

We are a team from 11 nations 🇩🇪🇧🇷🇱🇻🇻🇳🇧🇬🇺🇦🇷🇺🇧🇾🇲🇰🇧🇦🇮🇳, primarily speak English, and love developing great software. Currently, we have around 25 people in our Product & Tech department, consisting of software engineers, QA, data scientists, product managers, designers, and a DevOps engineer.

• Screening call with HR (20 minutes)
• Technical interview with our CTO (1 hour)
• Case study and presentation (3-4 hours)
• Offer