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. 

AutoScout24 is on a mission to revolutionize how marketing decisions are driven through data and analytics. We are seeking an experienced and motivated Marketing Data Analyst (m/f/d) to take ownership of our marketing analytics framework and help us make data-informed decisions to optimize efficiency and ROI of our multi-channel marketing funnel. This role is perfect for someone who combines strong technical skills with sharp business judgment - and who thrives working close to top management on high-impact, complex analyses. 

Our team treats AI as a core working principle. We actively integrate AI tools into our day-to-day workflows to raise the speed, quality, and depth of our analytics work — and we expect this mindset from everyone who joins us. 

What you will do 

• Design and implement scalable data models and pipelines within our Data Lake, to integrate and manage marketing data across channels. 

• Build and maintain engaging dashboards to monitor demand, user acquisition and marketing efficiency, following best practices in data visualization to deliver clear and actionable insights. 

• Empower marketing teams with self-service analytics by curating reliable data sources and building automated, scalable data solutions that enable independent, data-driven decision-making. 

• Work closely with online, app, and offline marketing teams to deliver insights and recommendations that optimize multi-channel efforts, media planning, budget allocation, and user acquisition. 

• Partner with fellow analysts to evaluate performance across key platforms — including Google Analytics, Adjust, AppsFlyer, Google Ads, Meta, and Criteo — and translate findings into strategy. 

• Lead exploratory analytics projects — including new KPI development, A/B testing, incrementality studies, offline measurement, and attribution modelling — to address evolving business challenges. 

• Contribute technical expertise and business judgment to deep-dive analyses and reports for senior and top management, and lead multi-disciplinary projects end-to-end, managing timelines and stakeholder communication. 

• Leverage AI tools and automation to increase the efficiency, quality, and scale of analytical work — from data preparation and insight generation to reporting and stakeholder communication. 

What you will bring 

• 4+ years of experience in marketing analytics, ideally in online marketplaces, B2C or B2B environments, with a strong grasp of online and app marketing, campaign optimization, and budget allocation. 

• Proficiency in SQL and hands-on experience building data pipelines and ELT workflows using tools like Airflow and dbt, with familiarity across cloud platforms such as BigQuery, Redshift, or Snowflake. 

• Strong experience with BI and dashboarding tools (Tableau, QuickSight, PowerBI, or similar) and a solid understanding of data visualization best practices. 

• Deep understanding of Google Analytics, MMPs (Adjust, AppsFlyer), and major ad platforms (Google, Meta, Criteo), including tracking systems and reporting structures. 

• Proven ability to translate complex data into clear, actionable recommendations for both technical and non-technical audiences, including C-level stakeholders. 

• Outstanding attention to detail and a strong analytical mindset, with a grasp of statistical concepts to deliver effective and pragmatic solutions. 

• A proven track record of proactively and independently leading cross-functional analytics initiatives in a collaborative, multi-level organization. 

• A proactive approach to integrating AI tools into analytical workflows — with genuine curiosity about how AI can improve the speed and quality of data work. 

• Excellent verbal and written English skills. 

Nice to have 

Experience with web/app marketing attribution, budget planning, or forecasting models · Amazon QuickSight · Google Search Console · Google Tag Manager