Principal Analytics Engineer (AI)

TL;DR

Principal Analytics Engineer (AI): Defines and drives the architecture, modeling standards, and core analytical foundations that power enterprise-wide insights and AI-driven analytics. Focus on designing and maintaining advanced semantic layers, implementing AI-driven capabilities, and optimizing AWS cloud-native services for scalable analytical workloads.

Location: Berlin (Germany); Munich (Germany)

Company

hirify.global Group is an international automotive digital marketplace, constantly innovating, evolving, and transforming things for its customers.

What you will do

• Define and evolve the architecture for enterprise analytical models with a strong focus on scalability and robustness.
• Design and maintain advanced semantic layers to unify KPIs and analytical logic across business domains.
• Set technical direction, align stakeholders, and drive adoption of modern modeling practices.
• Lead the definition and implementation of AI-driven analytical capabilities, including text-to-SQL and semantic modeling for AI.
• Partner with data platform, engineering, and analytics teams to deliver high-performance pipelines.
• Optimise AWS cloud-native services (Glue, Athena, S3, MWAA) to support scalable analytical and AI workloads.
• Mentor analytics engineers and analysts to strengthen modeling skills and technical standards.

Requirements

• 7+ years in advanced Analytics Engineering or Data Engineering roles, with deep experience building and scaling enterprise analytical models.
• Strong ability to influence technical and business stakeholders and drive architectural alignment.
• Proven leadership across complex data initiatives, with a proactive, collaborative, and solution-driven mindset.
• Demonstrated experience in AI-driven analytics, including text-to-SQL, automated insights, semantic modeling for AI, and conversational BI.
• Extensive hands-on expertise with AWS (Glue, Athena, S3, MWAA) and familiarity with BigQuery.
• Expert-level Python and PySpark skills for large-scale analytical processing.
• Expert-level SQL and mastery of dimensional modeling techniques.
• Strong understanding of data privacy, security, and compliance in analytical system design.
• Proven ability to optimise large datasets, improve performance, and troubleshoot complex system behaviours.

Culture & Benefits

• International community with over 50 nationalities, promoting inclusivity.
• Tools, training, and support provided for working in a way that suits you.
• Opportunities to learn new skills and reach your full potential.