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analytics engineer (m/w/d) Jobs in Munich

analytics engineer (m/w/d)

ai engineer (m/w/d)

ai engineer / software engineer (all genders) Jobs in Munich

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ai manipulation engineer (human)

ai solutions engineer

intelligence engineer

Münchener Marketing Gruppe

<div>Du willst nicht nur bestehende Prozesse verwalten, sondern den Einsatz von K&uuml;nstlicher Intelligenz bei einer der f&uuml;hrenden Marketingagenturen in M&uuml;nchen aktiv vorantreiben? 
Bewirb dich jetzt als AI Engineer (m/w/d) in Vollzeit. 
Deine Aufgaben:
<ul><li>Prozessanalyse &amp; KI-Potenziale identifizierenDu analysierst bestehende Workflows im Team &ndash; von Content-Erstellung &uuml;ber Reporting bis zum Kundenbriefing &ndash; und erkennst, wo KI Zeit spart, Qualit&auml;t steigert oder Kapazit&auml;t freisetzt.</li><li>
KI-Workflows &amp; Automatisierungen bauenDu entwickelst praxistaugliche Prozesse mit Tools wie Claude, ChatGPT und Gemini &ndash; von Prompt-Architekturen &uuml;ber mehrstufige Agenten bis hin zu automatisierten Workflows, die direkt im Agenturalltag laufen.</li><li>
Technische Umsetzung &amp; IntegrationWo n&ouml;tig, entwickelst du eigene L&ouml;sungen mit Code &ndash; z. B. API-Anbindungen, Skripte oder kleine Tools, die bestehende Software mit KI-Funktionen erweitern.</li><li>
Schulungen &amp; interne Enablement-Videos erstellenDu machst KI f&uuml;r alle nutzbar: Du nimmst strukturierte Video-Tutorials auf, erstellst Anleitungen und begleitest das Team dabei, neue Tools sicher und effektiv in den eigenen Arbeitsalltag zu integrieren.</li><li>
Kontinuierliche Weiterentwicklung &amp; EvaluationDu beh&auml;ltst neue KI-Modelle, Tools und Best Practices im Blick, evaluierst sie auf Relevanz f&uuml;r unsere Agentur und entscheidest, was wir einsetzen &ndash; oder weiterentwickeln.</li><li>
Wirkung messen &amp; berichtenDu dokumentierst eingef&uuml;hrte L&ouml;sungen, misst deren Wirkung (Zeitersparnis, Qualit&auml;t, Akzeptanz im Team) und berichtest regelm&auml;&szlig;ig an die Gesch&auml;ftsf&uuml;hrung.</li></ul>
Warum M&uuml;nchener Marketing Gruppe?
<ul><li>Sicherer Arbeitsplatz: Als eine der schnellst wachsenden Marketingagenturen in Deutschland mit &uuml;ber 90 festangestellten Mitarbeitenden ist es unser Ziel, dass jede Person, die wir einstellen, langfristig mit uns w&auml;chst.</li></ul><ul><li>
Weiterentwicklung: Bei uns steigst du direkt in die Aufgaben ein und kannst dich dadurch jeden Tag pers&ouml;nlich und fachlich weiterentwickeln. Regelm&auml;&szlig;iges Feedback von deinem Mentor unterst&uuml;tzt dich dabei und hilft dir, stets den &Uuml;berblick dar&uuml;ber zu behalten, wo du gerade stehst.</li><li>
Tolle Arbeitsatmosph&auml;re: Wir haben ein spannendes, herausforderndes und freundliches Umfeld. Wir arbeiten miteinander an gro&szlig;artigen Projekten und unterst&uuml;tzen und inspirieren uns gegenseitig, H&ouml;chstleistungen zu erzielen.
</li><li>Karrierechancen: Wer bei uns Leistung bringt und bereit ist, stetig zu lernen und sich zu verbessern, hat in unserem wachsenden Team die M&ouml;glichkeit, entsprechend Verantwortung zu &uuml;bernehmen.</li><li>
Unsere Kundenergebnisse: Wir sorgen f&uuml;r starke Online-Auftritte. Mit Videos, Websites sowie SEO- und Performance-Marketing-Strategien machen wir die Angebote unserer Kunden verst&auml;ndlich und sichtbar. Dadurch helfen wir unseren Kunden, mit ihren Unternehmen voranzukommen. 
</li></ul> 
 
 
<ul><li>Mindestens 2 Jahre praktische Erfahrung im Einsatz von K&uuml;nstlicher Intelligenz im beruflichen Umfeld</li><li>
Erfahrung in der Entwicklung von KI-gest&uuml;tzten Workflows, Automatisierungen oder Agenten-Systemen</li><li>
Grundlegende Programmierkenntnisse (z. B. Python, JavaScript oder API-Integrationen), um technische L&ouml;sungen eigenst&auml;ndig umzusetzen</li><li>
Erfahrung mit modernen KI-Tools und Sprachmodellen wie ChatGPT, Claude oder Gemini</li><li>
Interesse an neuen KI-Technologien sowie die F&auml;higkeit, deren Potenzial f&uuml;r reale Anwendungsf&auml;lle zu bewerten</li><li>
Strukturierte, eigenst&auml;ndige und l&ouml;sungsorientierte Arbeitsweise</li><li>
Ausgepr&auml;gte Kommunikationsf&auml;higkeit, um komplexe Themen verst&auml;ndlich zu vermitteln und Teams bei der Einf&uuml;hrung neuer L&ouml;sungen zu unterst&uuml;tzen</li><li>
Verhandlungssichere Deutschkenntnisse in Wort und Schrift</li></ul> 
Klingt ganz nach dir? Dann bewirb dich jetzt &uuml;ber unser Online-Formular!</div>

AI Engineer (m/w/d)

Airbus

<div>Job Description:
In order to support us, Airbus Defence and Space is looking for an 
<h1 class="jobSectionHeader"> 
AI Solutions Engineer (d/f/m)
</h1>At Airbus Defence and Space, AI and data are our most strategic assets. As a forward deployed AI (artificial intelligence) implementation lead, you are the technical expert who turns our AI capabilities and platforms into mission-critical AI solutions. Working closely with business lines and internal teams, you will be bridging the gap between mission-critical requirements, AI capabilities and operational needs. 
 
In your job, you will work closely with business teams, managing an end-to-end lifecycle of AI use cases from initial technical assessments and evaluation of possible solutions to deployment into production. You will be an integral part of the team responsible for the delivery of a wide range of AI solutions, incl. GenAI (generative AI) and autonomous agentic systems for complex workflows.
Your location
 
Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. You are into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour&rsquo;s reach, offering a multitude of recreational options.
The other possible locations for this role are:
Madrid / Getafe
 
Toulouse
Our Benefits for You
<ul><li>Fair Compensation &amp; Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
</li><li>Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
</li><li>Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
</li><li>Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
</li><li>Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA. 
</li></ul> 
Your tasks and responsibilities
<ul><li>Problem Discovery &amp; Feasibility: Partner with business leads, technical teams to review feasibility of AI use cases, identify technical bottlenecks and lead development of the required AI solutions from GenAI prompt engineering requests, to implementing RAG (retrieval augmented generation) pipeline, and end-to-end orchestrating of a full agentic solution.
</li><li>Tactical Implementation: Evaluate implementation requirements of AI use cases across various Airbus networks / deployment environments and available technology to make critical decisions to minimize end-user / operations impacts and individual AI use cases on the business. This may involve revision of API services, data connectors with tech. teams, optimization of prompts with end-users, and fine-tuning of available LLM (large language models) for optimal fit-for-purpose.
</li><li>Implementation of Agentic Systems: Where appropriate, drive key decisions on the design / implementation of Agentic AI workflows, enabling the GenAI platform to act as an orchestrator of multi-staging tasks, internal platforms, systems and tools while ensuring adherence to ethical guidelines of AI use.
</li><li>Platform Evolution: Act as forward deployed technical liaison and subject matter expert positioned between AI development teams and business teams, actively capturing issues, incidents, failures of individually deployed AI use cases and feed to development teams for future platform evolution.
</li><li>Sovereignty &amp; Compliance: Leverage understanding of applicable EU AI compliance policies, security standards and data sovereignty regulations for secure deployment and operations of AI use cases in Airbus environment.
</li><li>AI solutions delivery: Manage the end-to-end data science lifecycle for integrating GenAI features into existing solutions, focusing on data preparation, LLM fine-tuning, RAG implementation, and defining rigorous evaluation metrics to enhance the performance of the internal solution.
</li></ul>Desired skills and qualifications
<ul><li>Bachelor's Degree in computer science, software engineering, data science or other related technical discipline or preferably a Master&rsquo;s Degree in Artificial Intelligence (AI), Data Science, or Computer Science with specialization in cloud computing, DevOps and/or AI is preferred, reflecting the advanced nature of the role.
</li><li>A strong understanding of standard AI / GenAI/ Agentic AI development and implementation approaches into cloud platforms (AWS/GCP) and into containerized solutions (via Docker, Kubernetes, OpenShift).
</li><li>Expertise in development and implementation of LLMs, RAG pipelines, and Agentic AI across distributed environments and networks.
</li><li>Expertise in Agile, DevOps methodologies, and CI/CD (Continuous Integration / Continuous Deployment) practices, essential for the end-to-end delivery focus.
</li><li>Experience with scripting languages (e.g. Python , JavaScript, etc.) for automation and ML/DevOps libraries.
</li><li>At least 5+ years continuous working experience in a multinational company in software engineering, data science, and forward-deployed technical roles.
</li><li>Previous experience as a liaison between tech development and business teams
</li><li>Python / C++ expert level and experience working across the full stack applications to develop / integrate AI solutions into technology platforms, systems, network environments, etc.
</li><li>Mastery of vector databases, graph databases, and experience with basic data ingestion / data quality principles and workflows for evaluation of data sets for AI consumption.
</li><li>Experience with implementing rigorous scientific evaluation frameworks for optimal AI outputs.
</li><li>Recommended additional industry-recognized certifications (e.g. cloud platform certification, DevOps / Container certification, MLOps-specific certifications, etc.)
</li><li>Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced environment.
</li><li>Strong communication and collaboration abilities, and comprehensive end-user support and stakeholder management skills and ability to work independently and as part of a team in a fast-paced environment.
</li><li>Fluent English, German and English is a plus 
</li></ul> 
Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
Take your career to a new level and apply online now! 
 
#MYCYM
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbH
Employment Type:
Permanent
-
Experience Level:
Professional
Job Family:
Digital &lt;JF-IM-DI&gt;
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

AI Solutions Engineer (d/f/m)

Wellster Healthtech Group

<div>We're looking for an Analytics Engineer who enjoys turning raw data into reliable, trusted datasets that drive business decisions. You'll work closely with product, engineering, and business stakeholders to build scalable data models, improve tracking quality, and enable self-service analytics.
This role combines strong SQL skills with analytics engineering best practices and a solid understanding of digital product tracking.
Your tasks would be...<ul><li>
Build, maintain, and optimize scalable data models using dbt</li></ul><ul><li>
Develop reliable, well-documented datasets for reporting and business analysis</li><li>
Write efficient and maintainable SQL queries for complex analytical use cases</li><li>
Maintain and improve event tracking using Google Analytics 4 (GA4)</li><li>
Collaborate closely with Product and Engineering teams to design tracking concepts and ensure high data quality</li><li>
Validate new tracking implementations and investigate data discrepancies</li><li>
Implement and maintain data quality tests and monitoring within dbt</li><li>
Support BI dashboards and reporting by creating trusted and reusable data sources</li><li>
Continuously improve the analytics engineering stack, processes, and best practices</li><li>
Have strong SQL skills and experience working with large-scale datasets</li></ul><ul><li>
Bring hands-on experience with dbt, including models, tests, documentation, and incremental models</li><li>
Have experience implementing and validating Google Analytics 4 (GA4) tracking</li><li>
Understand event-based analytics and digital product measurement</li><li>
Have worked with modern cloud data warehouses such as BigQuery, Snowflake, or Redshift</li><li>
Are familiar with Git and collaborative development workflows</li><li>
Possess strong analytical thinking and problem-solving skills</li><li>
Communicate effectively with both technical and non-technical stakeholders</li><li>
Ideally have experience with orchestration tools such as Airflow, Dagster, or Prefect</li><li>
Have experience with BI platforms such as Looker, Tableau, Power BI, or Metabase</li><li>
Have knowledge of JavaScript or Google Tag Manager for tracking implementations</li><li>
Bring experience with experimentation (A/B testing) and product analytics</li><li>
Are familiar with Python for data processing or automation</li></ul></div>

Analytics Engineer (m/f/d)

osapiens

<div><h3 class="jobSectionHeader">Description</h3><div> 
This 4-6 months internship position is part of osapiens Terra, a specialized team in Munich integrating remote sensing data and artificial intelligence algorithms in sustainability software solutions. We build enterprise software for deforestation free supply chains. Our SaaS solution ensures compliance with the EU Deforestation Regulation (EUDR) which affects thousands of European companies and their suppliers. For this, we track the supply chain end-to-end, from farmer to retailer, while leveraging satellite data and AI to detect deforestation. 
 
Our algorithm combines several methods, from deep learning, to custom ML algorithms, and basic statistics. We carefully engineer our methodology to ensure generalization across geographies, robustness, and explainability.</div><h3 class="jobSectionHeader"> 
Your Responsibilities</h3><div> 
We are looking for a Machine Learning Engineer to improve our algorithms, scale our architecture and optimize a production ML pipeline. You will... 
</div><ul><li>Design and implement geospatial analytics using state-of-the-art deep learning techniques and statistics</li>
<li>Research cutting-edge methods from Computer Vision and Artificial Intelligence and apply them to remote sensing</li>
<li>Engineer and operationalize prototype-stage methods to full-blown enterprise-grade production systems</li>
<li>optimize and scale data and analytics pipelines</li>
<li>Analyze, interpret, and monitor performance from production data analytics pipelines</li></ul> 
<h3 class="jobSectionHeader">
Your Experience</h3> 
<ul>
<li>
Current studies in engineering, mathematics, computer science or similar.</li>
<li>Programming skills in Python and proficiency with typical data engineering and deep learning frameworks, as well as familiarity with GIT and unix-based systems.</li>
<li>Track record of solving quantitative problems with algorithms and data</li>
<li>Experience in working with geospatial data (e.g., multi-spectral satellite imagery, geojsons, tif formats, etc.) is a plus</li></ul><div></div><h3 class="jobSectionHeader"> 
Join us for this and more...</h3> 
<ul>
<li>
A purpose-driven mission tackling complex sustainability challenges while working alongside global industry pioneers at a fast-growing unicorn company
</li><li>A high-impact internship with responsibility from day one and direct collaboration with experienced leaders.</li>
<li>Hands-on project ownership and the chance to design processes that scale across our global customer base.</li>
<li>A modern Munich office with flexible hybrid work options, open team culture, and flat hierarchies.</li>
<li>Regular team events and knowledge-sharing sessions.</li>
<li>And of course &ndash; free drinks and snacks to keep you energized during your day.</li></ul><div></div><h3 class="jobSectionHeader"> 
About osapiens</h3><div>
osapiens develops holistic Software-as-a-Service solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the osapiens HUB, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance. 
</div><div>Founded in 2018 and headquartered in Mannheim, Germany, osapiens works with around 2,500 companies in over 50 countries across industries such as consumer goods, automotive, fashion, pharmaceuticals, and medical products. The company is backed by Goldman Sachs and Decarbonization Partners, reinforcing its commitment to responsible, sustainable growth and has reached unicorn status in January 2026.</div></div>

Internship: Machine Learning (m/f/x)

Auxilius.ai

<div>
 
 You'll join an early-stage, AI-native startup with a product that has already proven market fit. We build cutting-edge AI solutions for Governance, Risk and Compliance (GRC) for enterprises around the world.
 
 
 
 Our customers are auditors, risk managers, and compliance teams, which means evaluation rigor, auditability, and EU AI Act readiness aren't afterthoughts for us. They're product requirements.
 
 
 Tasks
 
 
 As our AI Engineer for LLMOps &amp; Evaluation, you'll own the LLMOps pipeline end-to-end and work directly alongside our founding team.
 
 
 
 You will:
 
 
 <ul>
 
 <li>
 Own the LLMOps pipeline: Evaluate infrastructure, prompt optimization loop, and the production integration that turns experiments into reliable customer-facing features
 </li>
 
 <li>
 Design evaluation strategy per output type: Decide when to use deterministic evals (exact match, schema validation, embeddings) vs. LLM-as-judge, and build the rubrics, test datasets, and human-review loops that make the system trustworthy
 </li>
 
 <li>
 Drive prompt engineering and optimization across all LLM operations in the product: Moving from hand-tuned prompts to a measurable, iterative process
 </li>
 
 <li>
 Pick the right tool for each problem: Some things are LLM problems, some are embedding + classical NLP problems, some are deterministic logic
 </li>
 
 <li>
 Run the production side of AI features: Observability (Langfuse /LangSmith / similar), cost and latency engineering, incident response when an LLM feature degrades
 </li>
 
 <li>
 Build human-in-the-loop workflows: Review queues, feedback ingestion, labeling; so production signal feeds back into evals and prompt iteration
 </li>
 
 <li>
 Mentor our AI &amp; Analytics Intern and contribute to how we build the AI team over time
 </li>
 
 </ul>
 
 Requirements
 
 <ul>
 
 <li>
 3+ years of hands-on experience building and shipping ML/AI systems in production (we care more about what you've shipped than years on a CV)
 </li>
 
 <li>
 Have shipped an LLM evaluation or prompt optimization pipeline, not just used LLMs in a project, but owned the loop
 </li>
 
 <li>
 Strong hands-on experience with LLM-as-judge, including its variance problems and concrete techniques for controlling them
 </li>
 
 <li>
 Solid foundation in classical NLP and ML ops: Embeddings, semantic similarity, entity matching, classification, fuzzy matching
 </li>
 
 <li>
 Informed opinions on deterministic vs. LLM-based evals, from experience
 </li>
 
 <li>
 Production judgment: You've owned cost and latency tradeoffs, observability, and incident response for an LLM-powered feature. You're familiar with prompt regression and have strategies for managing it
 </li>
 
 <li>
 Strong Python
 </li>
 
 <li>
 Excellent English communication, written and verbal: We discuss nuanced technical tradeoffs daily with the founding team and customers
 </li>
 
 <li>
 Comfort with ambiguity: You can run experiments on real data, build intuition for this domain, and know when to stop iterating
 </li>
 
 </ul>
 
 
 
 Nice to have
 
 
 
 <ul>
 
 <li>
 Hands-on experience with LLM observability and eval tooling (Langfuse, LangSmith, Phoenix/Arize, Helicone, Braintrust, W&amp;B)
 </li>
 
 <li>
 Experience with DSPy or similar prompt optimization frameworks, and opinions on where they do and don't work
 </li>
 
 <li>
 Experience with Azure OpenAI in EU regions, or with EU-sovereign providers (Mistral, Aleph Alpha)
 </li>
 
 <li>
 Exposure to guardrails, content safety, or AI governance
 </li>
 
 <li>
 Exposure to enterprise software, ideally GRC, compliance, audit, or regulated industries
 </li>
 
 <li>
 Familiarity with Java/Spring Boot or Kubernetes on Azure; enough to integrate cleanly
 </li>
 
 <li>
 German
 </li>
 
 </ul>
 
 Benefits
 
 <ul>
 
 <li>
 Hands-on ownership of a real AI product used by enterprise customers
 </li>
 
 <li>
 Work directly alongside the founding team from day one
 </li>
 
 <li>
 Hybrid work model: Munich North, minimum one day per week in the office, otherwise flexible (open to strong candidates elsewhere in the EU for the right fit); onboarding will take in-office
 </li>
 
 <li>
 A steep learning curve at the intersection of LLM engineering, enterprise GRC, and startup operations
 </li>
 
 <li>
 The chance to shape the AI team as we grow
 </li>
 
 </ul>
 
 
 Auxilius .ai is building AI-powered GRC solutions for enterprises. We're early-stage, fast-growing, and backed by real customers. Our tech stack includes Java &amp; Spring Boot, Angular, Kubernetes on Azure, and OpenAI &amp; Anthropic LLMs.
 
</div>

AI Engineer for LLM Ops & Evaluation (m/f/d)

Usercentrics

<div>SHAPE THE FUTURE OF PRIVACY WITH USERCENTRICS
Hybrid position - 2/3 days in the office
1 year fixed-term contract
Usercentrics is a global leader in the field of consent management platforms (CMP). We follow our company vision to build a world where user privacy enables a thriving digital ecosystem. Our mission is to provide privacy solutions that empower organizations to embrace data privacy while building trust with their users through freedom of choice. With our product, businesses can collect, manage and document user consents on websites and apps, and achieve full compliance in accordance with global privacy regulations while facilitating high consent rates and building trust with their customers.
We&rsquo;re looking for an experienced Staff Analytics Engineer to own the design and delivery of scalable data models and data products across our data warehouse, semantic layer, and reporting layer. Reporting to the Director of Analytics, you will enable critical decision making across the business, from marketing and product to commercial operations.
This is a senior individual contributor role with technical leadership responsibilities. You will not manage a team initially, but you will set standards and mentor others. This role may evolve into a people management position as the team scales.
Your Tasks<ul><li>
Drive the development and expansion of our Data Warehouse and BI solutions, with a focus on simplicity, scalability, and reliability, ensuring they grow sustainably.</li><li>
Own and evolve the Analytics Engineering strategy, including architectural decisions, modeling standards, and the long term roadmap.
</li><li>Collaborate with Data Analysts, Data Scientists, and backend engineers to deliver trusted, well modeled, analysis-ready datasets.
</li><li>Apply software engineering best practices across the analytics codebase, including version control, code reviews, automated testing, lineage, and continuous integration.
</li><li>Evaluate, select, and deploy tools and frameworks to strengthen data quality, governance, and reliability.
</li><li>Partner closely with business stakeholders to design and scale the semantic layer to support diverse and evolving business needs, enabling and accelerating self service analytics.
</li><li>Act as a go to person for Data Analysts and Data Scientists, providing guidance to improve pipelines and remove inefficiencies, redundancies, and technical bottlenecks.
</li><li>Mentor and support other team members as the team scales, contributing to capability building, onboarding, and continuous knowledge sharing.
</li>Bring strategic thinking and innovative ideas to help shape a growing team and deliver meaningful business impact at scale. 
<li>
</li></ul> 
 
Requirements 
<ul><li>
5+ years of relevant experience in a comparable role, designing and scaling complex data models for analytics and data science.</li><li>
A unique combination of technical expertise, business acumen, and communication skills, enabling you to persuade and influence data product stakeholders.</li><li>
Proficiency with dimensional modeling (star schema) and medallion architecture, with the ability to design and develop curated data marts.</li><li>
Strong coding skills in SQL and proficiency in DBT, orchestration tools, and engineering best practices.</li><li>
Experience with cloud data warehouses (BigQuery preferred) and semantic layers such as MetricFlow, LookML, Omni, or Cube.</li><li>
Curiosity, strong problem solving skills, and a proactive, creative mindset.
</li><li>Excellent organizational and communication skills, both verbal and written.</li></ul>
Don&rsquo;t meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Usercentrics we are dedicated to building a diverse, inclusive and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. 
Benefits 
 
Why join Usercentrics?<ul><li>
Joining Usercentrics means becoming part of a fast-growing, diverse and international team of tech enthusiasts and entrepreneurially-minded who build our success story together</li><li>
Company culture is important to us - we strive to continuously develop a positive, vibrant and inspiring environment that enables everyone to thrive both personally and professionally</li><li>
Get involved! We have plenty of initiatives and love to see people from all department enthusiastically participating and shaping our future together in different cross-department projects</li><li>
Your work-life balance is important to us too - we offer flexible working hours, hybrid working and the possibility of workcations (in accordance with our company policy)</li><li>
We always remember to have fun along the way, both in our day-to-day work and at our regular team events on site in our offices in Munich, Copenhagen, Odense, Lisbon and Prague or online</li></ul></div>

Staff Analytics Engineer (1 Year Fixed-Term Contract)

Celonis

<div><div>Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world's fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what's possible. We invest heavily in advanced AI capabilities&mdash;specifically our Process Intelligence Graph&mdash;to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.</div>
The Team

The Celonis Business Apps IT is a team of product enthusiasts and data engineers that focuses on developing best-in class composable AI solutions in the domain of System Transformations (migrations such as SAP ECC to S/4, introduction of new software, system landscape consolidation, etc.). Business Apps are purpose-built solutions created for a specific line of business, addressing most impactful pain points in their respective domain. The solutions are best practice examples of how Celonis is used in new, innovative ways that push the boundaries of our platform. The team has a great balance of technical skills to build solutions paired with a customer focus and product management mindset to create meaningful products widely adopted across our customer base.

The Role

We're looking for a hybrid between a product manager and an engineer. Someone who can sit with a customer, understand a transformation pain point, and then go design and build the solution together with the rest of the team rather than handing it off. You'll operate in a fast-paced, ambiguous environment where shipping quickly matters more than perfect process, and where the line between &quot;designing the product&quot; and &quot;building the product&quot; is intentionally blurry. You get hands-on: prototyping on the platform, wiring up data, composing AI-driven applications, and iterating directly with the people who'll use them.

You'll be at the frontier of how Celonis reimagines enterprise system transformation. Turning a bold vision into working products that customers adopt. If you're energized by owning something end-to-end, moving fast, and being measured by what you ship rather than what you spec, this is for you.

The work you'll do

Your mission is to make the vision of AI powered system transformation a reality. Building products that turn the cutting edge capabilities of the Celonis Process Intelligence platform from strategy into solutions customers run on.
<ul>
<li>Build and ship purpose-built but flexible solutions that span the full enterprise modernization journey</li>
<li>Leverage the most cutting-edge capabilities of the Celonis platform and compose them into coherent, deployable solutions</li>
<li>Work hands-on with frontier AI development tools that plug natively into the platform, using them to accelerate how you build, enrich, and deploy solutions</li>
<li>Move fluidly between customer, prototype, and production: discover the pain point, build the thing, put it in front of users, and iterate fast</li>
<li>Drive all steps within the product development lifecycle from ideation to product development to scaling solutions across all Celonis customers</li>
<li>Partner with platform product managers, engineers and partners to influence the underlying Celonis capabilities your solutions depend on</li>
<li>Collaborate with GTM, UX, and customers to ensure what you build actually gets adopted and scales across the customer base</li>
</ul>
If you are passionate about system transformations, the Celonis technology, and what it can do for our customers, here's your chance to directly contribute to taking our EMS to the next level.

The qualifications you need
<ul>
<li>Proven experience as a product engineer, technical product manager, founding/forward-deployed engineer, functional consultant or comparable hybrid builder role</li>
<li>A track record of building coherent product offerings, not just isolated features. You think in terms of the whole solution and how the pieces fit together</li>
<li>Technical and tech-savvy: comfortable in data (SQL, PQL, Python, MCP, Agents), able to prototype and build, and quick to pick up new tools and platforms</li>
<li>Preferrably, demonstrated knowledge in SAP system composition (functional and/or SAP base)</li>
<li>Demonstrated knowledge of what it means to modernize applications and whole enterprise system landscapes</li>
<li>Knowledge of enterprise architecture (system landscapes, capabilities, integrations) is a plus</li>
<li>Thrives in ambiguity with an entrepreneurial mindset. Self-directed, biased toward action, and able to make progress without a fully defined roadmap</li>
<li>Excellent communication skills and the willingness to work very closely with customers and cross-functional stakeholders</li>
<li>Very good knowledge of spoken and written English (German is a plus)</li></ul><div> 
What Celonis can offer you:
<ul>
<li>Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.</li>
<li>Ownership from Day 1: Every full-time &quot;Celonaut&quot; is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.</li>
<li>Unrivaled Family Support: Benefit from our inclusive parental leave policy&mdash;24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.</li>
<li>Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.</li>
<li>Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.</li>
<li>Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated &quot;Wellness Weeks&quot; that prioritize work/life balance.</li>
<li>Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.</li>
<li>Global Inclusion &amp; Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.</li>
<li>Value-Driven Impact: Join a mission-led organization where our core values&mdash;Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future&mdash;drive every decision.</li>
</ul>
About Us:

Celonis makes processes work &mdash; for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate &mdash; unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. 
Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that &quot;The Best Team Wins&quot;. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. 

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis' Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.</div></div>

Application Product Manager - (AI System Transformations)

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