Állás · Senior

Senior Analytics Engineer (m/f/d)

Data Engineer • Senior • Helyszíni • Teljes munkaidő • Németország Berlin (Germany), Németország
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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