Principal Analytics Engineer (m/f/d)

Scout24 Holding GmbH; München, Berlin; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading technology firm in München seeks a Principal Analytics Engineer to drive architecture and modeling standards for enterprise insights. You will lead the design of data models, enable AI-driven analytics, and mentor engineers. The ideal candidate has over 7 years of experience, strong AWS skills, and expertise in Python. Join a culturally diverse community and enjoy opportunities for professional growth and a supportive work environment.

Qualifikationen

• 7+ years in advanced Analytics Engineering or Data Engineering roles.
• Strong ability to influence technical and business stakeholders.
• Proven leadership across complex data initiatives.

Aufgaben

• Define the architecture for enterprise analytical models.
• Design advanced semantic layers to unify KPIs.
• Lead AI-driven analytical capabilities definition.
• Optimize AWS cloud-native services for analytics workloads.

Kenntnisse

Advanced Analytics Engineering

Data Engineering

AI-driven analytics

Python

SQL

AWS services

Dimensional modeling

Tools

Glue

Athena

S3

MWAA

BigQuery

PySpark

Jobbeschreibung

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’renot just leading the market; we’recreating it. We’reconstantly innovating, evolving and transforming things for our customers. We’redriven, ambitious and determined to do our bestwork, 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.