Data Analytics Engineer (SaaS)

TL;DR

Data Analytics Engineer (dbt/Python): Building the trusted data foundation and scalable analytics data models for a B2B SaaS platform with an accent on data modeling, transformation pipelines, and self-service insights. Focus on designing scalable semantic layers, ensuring data quality and governance, and enabling product experimentation via high-quality event modeling.

Location: Must be based in and have the right to work in Germany or London. Relocation and visa sponsorship are not provided.

Company

hirify.global is a B2B SaaS platform used by millions of professionals to coordinate meetings and collaboration.

What you will do

• Design and maintain scalable analytics data models using dbt and modern data engineering practices.
• Develop reliable transformation pipelines to convert raw product data into business-ready datasets.
• Define and document trusted business metrics and build a scalable semantic layer for self-service analytics.
• Implement data quality, validation, testing, and governance across the analytics stack.
• Partner with Product Managers and Analysts to enable experimentation, funnel analysis, and customer insights.
• Collaborate cross-functionally to translate business questions into scalable data models and actionable insights.

Requirements

• Strong experience building analytics data models using dbt or similar transformation frameworks.
• Experience orchestrating modern data pipelines using Airflow or similar workflow tools.
• Advanced SQL skills with experience working on large analytical datasets.
• Experience with cloud data warehouses, specifically Amazon Redshift.
• Strong Python skills for data processing and automation.
• Must be based in and have the right to work in Germany or London.

Nice to have

• Experience with pandas or similar Python data processing libraries.
• Experience supporting Product Led Growth (PLG) organizations.
• Experience with product analytics tools such as Amplitude, Mixpanel, or GA4.
• Experience building semantic layers or self-service analytics platforms.

Culture & Benefits

• International team of 100+ professionals spread across four countries.
• Collaborative environment with a flat structure that encourages experimentation and rapid implementation of ideas.
• Office locations in Berlin and Belgrade, with a home-base in Zurich.
• Commitment to diversity, inclusion, and an environment of mutual trust and respect.

Hiring process

• Initial application review followed by a BRYQ assessment.
• Interviews with the Hiring Manager and an Executive/HR representative.
• Technical assessment and a cross-functional technical interview.