Senior Analytics Engineer (m/f/d) at autoscout24
Job details
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About this role
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 a Senior Analytics Engineer, you will be a senior technical contributor within the Analytics Engineering team and help shape the data foundations behind reporting, self-service analytics, and AI-driven decision-making. You will own complex technical workstreams, set direction for team-level analytical systems, and help improve the standards, practices, and architecture used across the team.
What youʼll do
Own complex analytics engineering workstreams from problem framing through delivery and adoption
Design and evolve scalable analytical models, semantic layers, and reusable data products
Set technical direction for team-owned models and analytical systems
Resolve ambiguity and align stakeholders around clear, pragmatic technical decisions
Improve modeling standards, documentation, testing, review practices, and quality gates
Drive consistency in KPIs, metrics, and analytical logic
Partner with Data Platform, Product Analytics, Engineering, and Data Governance teams
Improve the performance, reliability, and cost efficiency of AWS-based analytical workloads
Contribute to AI-driven capabilities such as text-to-SQL, semantic modeling for AI, automated insights, and conversational analytics
Guide complex refactoring, migrations, and technical debt reduction
Review analytical solutions for correctness, maintainability, privacy, security, performance, and business fit
Mentor analytics engineers and analysts through reviews, pairing, and technical guidance
Turn recurring quality or delivery issues into reusable standards, automation, and documentation
Connect technical decisions to product, operational, and business outcomes
You come with
7+ years of experience in Analytics Engineering, Data Engineering, or a related data role
Deep experience designing, building, and scaling analytical models and reusable data products
Advanced SQL skills and strong knowledge of dimensional and semantic modeling
Strong experience with cloud-native analytical platforms, ideally AWS services such as Glue, Athena, S3, or MWAA
Practical Python experience for data processing, automation, validation, or troubleshooting
A strong track record of owning complex technical initiatives within a team or across closely related teams
Experience setting technical direction, resolving ambiguity, and aligning stakeholders
Strong understanding of data quality, testing, observability, documentation, and operational ownership
Experience improving modeling standards, development workflows, review practices, or quality gates
The ability to influence technical and business stakeholders through clear reasoning and communication
Experience mentoring analytics engineers, analysts, or other data practitioners
A good understanding of data privacy, se