Senior Analytics Engineer (m/f/d)
Posted1 hour ago
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.
Find Jobs in Germany on Arbeitnow
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.
Find Jobs in Germany on Arbeitnow
Apply on Arbeitnow →
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