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AutoScout24

Online marketplace facilitating European car transactions

Senior Analytics Engineer

Data EngineeringPosted on Nov 12
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 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.
  • 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, security, governance, and compliance in analytical systems.

Responsibilities

  • 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.

Desired Qualifications

  • Experience with semantic layers, shared metric frameworks, or AI-driven analytics is a strong advantage.

About the Company

AutoScout24

Online marketplace facilitating European car transactions

AutoScout24 runs an online car marketplace in 18 European countries, connecting private sellers, car dealers, and buyers with a large catalog of new and used vehicles. Users search listings to buy or sell cars, while sellers pay listing fees or buy advertising and value-added services; dealers also get marketing tools to reach more customers. It differentiates itself with a broad pan-European inventory and dealer-focused marketing solutions that cater to both private and professional sellers within an ecosystem of automotive platforms. Its goal is to enable efficient, large-scale online vehicle transactions by offering many choices for buyers and strong reach for sellers, while earning revenue from listings, advertising, and added services.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$275M
Headquarters
Munich, Germany
Founded
1998

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