A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.
As Principal Analytics Engineer, you will define and drive the architecture, modeling standards and core analytical foundations that power enterprise-wide insights and AI-driven analytics. You will enable scalable data models, aligned KPIs, and intelligent analytical experiences that accelerate decision-making across AutoScout24.
WHAT YOU’LL DO
- Define and evolve the architecture for enterprise analytical models with a strong focus on scalability, clarity and long-term 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 across the organisation
- Lead the definition and implementation of AI-driven analytical capabilities, including text-to-SQL, automated insights, semantic modeling for AI and conversational analytical interfaces
- Develop modeling patterns, documentation standards and workflows that improve analytical efficiency and usability
- Partner with data platform, engineering and analytics teams to deliver high-performance pipelines from ingestion to consumption
- Optimise AWS cloud-native services (Glue, Athena, S3, MWAA) to support scalable analytical and AI workloads
- Continuously improve modeling patterns, performance and development processes to raise overall technical maturity
- Mentor analytics engineers and analysts to strengthen modeling skills and consistent technical standards
- Deliver high-quality semantic assets that fuel self-service analytics, reporting and AI-powered insights
YOU COME WITH
- 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
A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.
For a career where you can drive our business and shape your future, apply now.