autoscout24

Senior Analytics Engineer (m/f/d)

Remote remote Mid Salary not listed
remote Mid level Technology & IT Curated
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About the 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, security, governance, and compliance in analytical systems 

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

A proactive, collaborative, and solution-driven mindset 

What success looks like 

You act as a trusted senior technical contributor within the team 

You own complex workstreams and help the team navigate difficult technical decisions 

Core models and semantic assets become more scalable, reliable, and reusable 

Engineering quality improves through stronger standards, reviews, mentoring, and automation 

Stakeholders trust your technical judgment and involve you early in important decisions 

You improve not only individual data products, but also the systems and practices around them 

 

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. 
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Interview prep

Walk in with sharper answers.

Use these suggested prompts to prepare. They are not questions supplied by the employer.

Mid
Technology & IT Data Analysis MySQL Python SQL Writing Mid level

Practice questions

  1. Tell us about work you have done that is close to the Senior Analytics Engineer (m/f/d) role.
  2. How would you approach your first 30 days at autoscout24?
  3. Which of Data Analysis, MySQL and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Analytics Engineer (m/f/d) role at autoscout24. My relevant experience is [your example], where I [your action] and achieved [your result].

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