senior data engineer

data engineer

data scientist

founding engineer

data scientist im giftnotruf (d/w/m) Jobs in Berlin

data scientist im giftnotruf (d/w/m)

founding data scientist

Xenon7

<div><p><b>About us:</b></p><p>
Where elite tech talent meets world-class opportunities!</p><p>
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.</p><p>
We are building a community of top-tier experts and we&rsquo;re opening the doors to an exclusive group of exceptional <b>AI &amp; ML Professionals </b>ready to solve real-world problems and shape the future of intelligent systems.</p><p></p><p><b>
Location:</b> Remote (Europe - CET)<br>
<b>Experience:</b> 5+ Years</p><p><b>
Project Duration:</b> ~ 2 months (B2B contract)<br>
<b>Availability:</b> Immediate Joiner</p><p></p><p><b>
Role Overview</b></p><p>
We are seeking a visionary and highly skilled <b>Senior Data Scientist</b> to lead the development of a cutting-edge document intelligence and discovery platform. This unique role sits at the intersection of advanced Generative AI, Machine Learning, and Cheminformatics. Your primary mission will be to solve a highly complex unstructured data challenge: transforming scanned PDF documents containing intricate chemical structures into highly searchable, interpretable, and actionable knowledge bases.</p><p></p><ul><li><b>
Architect Document Intelligence Solutions:</b> Design and implement advanced Machine Learning and Deep Learning models to parse, extract, and interpret text and complex chemical structures from unstructured, scanned PDF documents.</li><li><b>
Develop LLM &amp; Retrieval Systems:</b> Build and optimize Large Language Model (LLM) applications, leveraging vector databases to enable semantic search, advanced data interpretation, and retrieval-augmented generation (RAG).</li><li><b>
End-to-End ML Pipelines:</b> Own the entire machine learning lifecycle, including data preprocessing (specifically for chemical data and OCR outputs), model training, evaluation, deployment, and post-deployment monitoring.</li><li><b>
Bridge Chemistry &amp; AI:</b> Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.</li><li><b>
Cloud Architecture &amp; Deployment:</b> Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.</li><li><b>
Cross-Functional Collaboration:</b> Partner closely with software engineers, data engineers, and domain experts to integrate ML models into the core product architecture and align with business goals.</li></ul><p></p><b><br>
Requirements</b><br>
<ul><li><b>
Professional Experience:</b> 5+ years of proven experience working as a Data Scientist, with a track record of delivering production-grade machine learning models.</li><li><b>
Domain Expertise:</b> A strong background in Chemistry, Cheminformatics, or a highly related scientific field, with a demonstrated ability to interpret and manipulate complex chemical structures and data types.</li><li><b>
Core Technical Stack:</b> Advanced proficiency in <b>Python</b> and deep hands-on experience with the <b>AWS cloud stack</b> (e.g., SageMaker, Lambda, S3, EC2).</li><li><b>
Generative AI &amp; Search:</b> Practical, hands-on experience working with LLMs (fine-tuning, prompt engineering, or API integration) and <b>vector databases</b> (e.g., Pinecone, Milvus, Weaviate, or Qdrant).</li><li><b>
ML/DL Mastery:</b> Robust experience in model development, validation, deployment, and evaluation framework tools (e.g., PyTorch, TensorFlow, Scikit-Learn).</li><li><b>
Document Processing (Plus):</b> Prior experience with Computer Vision, Optical Character Recognition (OCR), or Document AI systems is highly desirable given the scanned PDF focus.</li><li><b>
Soft Skills:</b> Strong analytical problem-solving skills, excellent communication, and the ability to thrive in a highly collaborative, cross-disciplinary project environment.</li></ul><br>
<b>
Benefits</b><p><br>
At Xenon7, we're not just building AI systems&mdash;we're building a community of talent with the mindset to lead, collaborate, and innovate together.</p><ul><li>
<b>Ecosystem of Opportunity:</b> You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence.</li><li>
<b>Collaborative Environment: </b>Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth.</li><li>
<b>Flexible &amp; Impact-Driven Work: </b>Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes&mdash;not hours. Autonomy, ownership, and curiosity are encouraged here.</li><li>
<b>Talent-Led Innovation: </b>We believe communities are strongest when built around real practitioners. Our Innovation Community isn&rsquo;t just a knowledge-sharing forum&mdash;it&rsquo;s a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself.</li></ul></div>

Senior Data Scientist - Europe

Zalando

<div><div>Ort</div><div>
Germany - Berlin</div><div>
Vertrag</div><div>
Full time</div><div>
Job-Kategorie</div><div>
Applied Science &amp; Research</div></div>
<br><div><div><p><b>Junior Applied Scientist (all genders) - B2B Data Science and Algorithms</b></p><p></p><p>
The ZEOS department is responsible for all partner-facing Zalando Logistics Solutions. We provide a holistic approach to delivering the fulfillment solutions that meet our partner&rsquo;s needs by unifying these services under a single umbrella. We aim to provide our partners with a profitable fulfillment experience, and we see that to do this, Machine Learning, Operations Research, and data-driven solutions will play a pivotal role.</p><p></p><p>
We are seeking a highly motivated Junior Applied Scientist who is fueled by the desire to kickstart their career by building innovative and impactful ML/Optimization systems for our B2B logistics partners. You will join an established team of Senior Applied Scientists and Machine Learning Engineers, working in a cross-functional setup with Product Managers, Data Engineers, and Software Engineers.</p><p></p><p>
The team&rsquo;s focus is helping our B2B partners improve inventory health and order fulfillment efficiency. With guidance and mentorship from senior team members, you will contribute to building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services, and emerging Agentic AI systems. You will play a key role in a cross-functional team where your eagerness to learn and grow will directly translate into value for our partners!</p><p></p><p><b>
WHY YOU SHOULD BE INTERESTED&hellip;</b></p><ul><li><p>
Learn and Impact from Day One: You won't be stuck doing busywork. You will be an active scientific partner, working alongside experienced scientists and product teams to define problems and build solutions. Your fresh perspective will help identify new opportunities to create value for our partners.</p></li><li><p>
Tackle Complex Scientific Problems with Expert Guidance: This is your chance to bridge the gap between academia and industry. You'll tackle cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting, and recommender systems while receiving the mentorship needed to succeed.</p></li><li><p>
Explore Emerging Tech like Agentic AI: As we explore opening up MCP servers to our partners, you will assist in defining how we measure their performance. You will contribute to implementing evaluation frameworks (e.g., LLM-as-a-judge, safety guardrails) to ensure autonomous systems act reliably.</p></li><li><p>
Grow into End-to-End Ownership: You will have the opportunity to follow ideas from initial research and prototyping to production. You will learn how to define success metrics, collaborate with engineers to deploy scalable services, and monitor real-world impact on partner KPIs.</p></li><li><p>
Drive Impact at a Multi-Merchant Scale: Your contributions will help build platform-level services that scale across hundreds of diverse partners, shaping the future of a more sustainable and efficient e-commerce logistics network.</p></li></ul><p><b><br>
WE&rsquo;D LOVE TO MEET YOU IF&hellip;</b></p><ul><li><p>
Educational background in a quantitative field; Masters degree or higher preferred.</p></li><li><p>
Up to 2 years of hands-on experience (including internships, working student roles, or significant academic/thesis projects) applying scientific methods to solve complex problems.</p></li><li><p>
A solid theoretical foundation and practical exposure in at least one of the following areas:</p></li><li><p>
Machine Learning or Deep Learning for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers).</p></li><li><p>
Operations Research and Optimization (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations).</p></li><li><p>
Machine Learning Engineering basics (e.g., understanding of git, batch processing, basic software testing).</p></li><li><p>
Agentic AI &amp; MCP evaluation frameworks</p></li><li><p>
Proficiency in SQL and Python, with some exposure to working with datasets.</p></li><li><p>
Strong communication skills with the ability to explain scientific concepts clearly and a desire to learn how to communicate effectively with business stakeholders.</p></li><li><p>
A collaborative, growth-oriented mindset. You have a passion for learning by doing and are not afraid to ask questions.</p></li><li><p>
You thrive in our team's core value: &ldquo;High Challenge, High Support&rdquo;! We cherish an open, direct feedback culture and are here to help you develop into a world-class scientist.</p></li></ul><p></p><p><b>
INCLUSIVE BY DESIGN</b></p><p></p><p>
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.</p><p>
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.</p><p>
do.BETTER - our diversity &amp; inclusion strategy: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion</p><p></p><p><b>
OUR OFFER</b></p><ul><li><p>
Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.</p></li><li><p>
Employee shares program</p></li><li><p>
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners</p></li><li><p>
2 paid volunteering days per year</p></li><li><p>
27 days of vacation a year to start for full-time employees</p></li><li><p>
Family services, including counseling and support</p></li><li><p>
Health and wellbeing options (including Wellhub, formerly Gympass)</p></li><li><p>
Mental health support and coaching available</p></li><li><p>
Drive your development through our training platform and biannual peer-to-peer review</p></li></ul></div><div><b>
Recruiter</b><p>
Casimir Udegbunam</p><p>
casimir.udegbunam@zalando.de</p></div><div><p>
 Nach der Pr&uuml;fung werden unsere Recruiter*innen &uuml;ber eine offizielle Zalando E-Mail-Adresse (@zalando.de) Kontakt aufnehmen.</p><p>
In einigen F&auml;llen arbeiten wir auch mit einer Auswahl von Headhunter*innen und Agenturen zusammen, um bestimmte Positionen zu besetzen. Bitte beachte, dass weder Zalando noch unsere Rekrutierungspartner*innen irgendeine Art von Bezahlung verlangen, um sich f&uuml;r eine Stelle zu bewerben oder an einem Vorstellungsgespr&auml;ch teilzunehmen.</p></div></div><p></p>
<br><div></div><div><div><div><h2 class="jobSectionHeader"><b>&Uuml;ber </b><b>Zalando</b></h2><p>
Zalando wurde 2008 in Berlin gegr&uuml;ndet und ist die f&uuml;hrende europ&auml;ische Technologieplattform f&uuml;r Mode und Lifestyle. Wir verbinden 62 Millionen aktive Kund*innen mit mehr als 7.000 Marken in 29 M&auml;rkten. Unser Gesch&auml;ft basiert auf einer einzigartigen, KI-gest&uuml;tzten Daten- und Infrastrukturplattform. F&uuml;r unsere Kund*innen bietet unser Multi-App-Ansatz &ndash; bestehend aus Zalando, ABOUT YOU und Lounge by Zalando &ndash; ein inspirierendes, hochgradig personalisiertes Einkaufserlebnis. F&uuml;r unsere Partner bauen wir das Betriebssystem f&uuml;r den E-Commerce. &Uuml;ber ZEOS, Tradebyte und SCAYLE &ouml;ffnen wir unsere Logistik-, Software- und Servicekapazit&auml;ten f&uuml;r Marken und Einzelh&auml;ndler*innen zur nahtlosen, grenz&uuml;berschreitenden Skalierung ihres Gesch&auml;fts.</p></div></div></div>

Junior Applied Scientist (all genders)

primaholding GmbH

<div><div><div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>primaholding</b><br>
<b>Das sind wir</b></h2>
<p>Als international vertretene Unternehmensgruppe mit insgesamt vierzehn Tochtergesellschaften in drei L&auml;ndern begeistern wir uns f&uuml;r innovative, kundenfreundliche Produkte in den Bereichen Energie und Telekommunikation. Abgerundet wird das Profil der primaholding durch unsere Gesellschaft f&uuml;r Telemarketingdienstleistungen.</p>
<p>Dabei bildet nicht nur die langj&auml;hrige Erfahrung die Basis f&uuml;r unseren Erfolg, sondern vor allem die Kombination aus einem umfassenden Produktportfolio und zuvorkommendem Kundenservice. Gemeinsam mit einer Vielzahl an kompetenten Mitarbeitern setzen wir uns jeden Tag mit viel Begeisterung f&uuml;r die Ziele der primaholding ein und schaffen es nicht zuletzt durch den gezielten Know-how-Transfer zwischen der primaholding und den elf Tochterunternehmen, unseren Kunden und Vertriebspartnern immer wieder innovative L&ouml;sungen zu bieten. Dar&uuml;ber hinaus gelingt es uns, durch das Angebot unserer beiden Komplettversorger f&uuml;r den Haushalt, Ma&szlig;st&auml;be zu setzen und damit eine attraktive Alternative zu den &uuml;brigen Anbietern im Bereich Energie und Telekommunikation darzustellen.</p>
<p>Auf der Basis des deutschlandweiten Wachstums aller Tochtergesellschaften ist die primaholding seit einigen Jahren auch in der Schweiz und in &Ouml;sterreich aktiv. Damit wird der Erfolg unserer Tochtergesellschaften international vereint und punktet auch bei allen Kunden in unseren s&uuml;dlichen Nachbarl&auml;ndern jederzeit mit &uuml;berzeugenden Angeboten zu fairen Konditionen sowie einem hervorragenden Kundenservice.</p></div></div></div></div></div></div></div></div></div></div>
<br><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Wachstum</b><br>
<b>und Zukunft</b></h2>
<p>Mit unserem Namen verbindet sich eine bemerkenswerte Erfolgsgeschichte, deren Grundstein bereits im Jahr 2003 mit dem Markteintritt der heutigen Tochtergesellschaft primacall gelegt wurde. Seit der Entstehung der primaholding im Jahr 2008 w&auml;chst die gesamte Unternehmensgruppe in allen Gesch&auml;ftsbereichen sowohl wirtschaftlich als auch strukturell rasant. Dass wir bei der Erreichung unserer ambitionierten Ziele sehr erfolgreich sind, spiegelt sich nicht nur in der Zufriedenheit unserer Kunden und der Entwicklung der primaholding wider. Unsere Gesch&auml;ftsfelder stetig zu erweitern sowie die Effektivit&auml;t interner Abl&auml;ufe fortw&auml;hrend zu optimieren, ist ein Anspruch, den wir jeden Tag gemeinsam verfolgen.</p>
<p>Umso mehr freut es uns, dass die primaholding im Rahmen der Kampagne &bdquo;FT 1000&ldquo; von der Financial Times unter die 1000 wachstumsst&auml;rksten Unternehmen in Europa gew&auml;hlt wurde. Sehr stolz sind wir ebenfalls &uuml;ber die erneute Auszeichnung von voxpark mit dem TOP-JOB-Award als einer der besten Arbeitgeber im deutschen Mittelstand.</p></div></div></div></div></div></div><p></p>
<br><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Gemeinsam</b><br>
<b>Gro&szlig;es erreichen</b></h2>
<p>Als dynamisches und zukunftsorientiertes Unternehmen wissen wir, dass interessierte Menschen von heute die besten Mitarbeiter von morgen sind. Deshalb unterst&uuml;tzen wir alle Talente so fr&uuml;h wie m&ouml;glich mit individuellen Ma&szlig;nahmen und geben unabh&auml;ngig von Alter und Herkunft jedem die M&ouml;glichkeit, sich bestm&ouml;glich einzubringen.</p>
<p>Wenn Sie sich also sowohl pers&ouml;nlich als auch fachlich weiterentwickeln und dabei anspruchsvolle Aufgaben &uuml;bernehmen m&ouml;chten, sind Sie bei der primaholding genau richtig! Neben der Unterst&uuml;tzung und F&ouml;rderung der individuellen Kompetenzen jedes einzelnen Mitarbeiters spielt bei uns auch die Zufriedenheit der Mitarbeiter eine zentrale Rolle. F&uuml;r uns geh&ouml;ren eine angenehme Arbeitsatmosph&auml;re und motivierte Mitarbeiter zu den wichtigsten Faktoren f&uuml;r den langj&auml;hrigen Erfolg und das gro&szlig;e Wachstum der Unternehmensgruppe in allen Gesch&auml;ftsbereichen. Um diesen Standard weiter zu erhalten, optimieren wir die primaholding als Arbeitgeber kontinuierlich mit Hilfe von Feedback und sind stets offen f&uuml;r neue Vorschl&auml;ge, W&uuml;nsche, Lob und Kritik unserer Mitarbeiter. Besonders stolz sind wir darauf, dass sich diese Philosophie auch auf unabh&auml;ngigen Bewertungsportalen wie kununu widerspiegelt. Es freut uns, dass unsere Unternehmensgruppe damit nicht nur f&uuml;r Mitarbeiter, sondern auch f&uuml;r Bewerber einen attraktiven Arbeitsplatz darstellt.</p></div></div></div></div></div></div>
<br><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Unsere Mitarbeiter</b><br>
<b>sind uns wichtig</b></h2>
</div><div></div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>foodji</b></h3><div><p>
Subventioniertes frisches Mittagsessen,<br>
Snacks und Getr&auml;nke</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Attraktive Mitarbeiter-Benefits</b></h3><div><p>
Satte Rabatte und Zusatzleistungen<br>
auf unsere Strom- &amp; Gastarife,<br>
Mobilfunk-Flatrates, Festnetz &amp; Internet</p>
</div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Top Lage</b></h3><div><p>
unmittelbar am<br>
U-Bahnhof Alt-Mariendorf</p></div></div></div>
</div></div><div></div><div><div><div><div><h3 class="jobSectionHeader"><b>Parkpl&auml;tze und e-Ladestationen</b></h3><div><p>
stehen f&uuml;r Ihr Fahrzeug zur Verf&uuml;gung</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Paketservice</b></h3><div>
private Pakete ins B&uuml;ro liefern lassen</div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>moderner Arbeitsplatz</b></h3><div><p>
in einer Top-Umgebung<br>
mit netten Kollegen</p></div></div></div>
</div></div><div></div><div><div><div><div><h3 class="jobSectionHeader"><b>flexible Arbeitszeiten</b></h3><div><p>
f&uuml;r eine angenehme<br>
Work-Life-Balance</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>frisches Obst und Gem&uuml;se</b></h3><div><p>
und eine gro&szlig;e<br>
Auswahl an Snacks</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>erstklassige Kaffee- und Teespezialit&auml;ten</b></h3><div><p>
sowie gek&uuml;hltes Wasser<br>
und Mineralwasser</p></div></div></div>
</div></div><div></div><div><div><div><div><h3 class="jobSectionHeader"><b>regelm&auml;&szlig;ig Teamevents</b></h3><div><p>
und eine j&auml;hrliche<br>
primaholding-Party</p></div></div></div></div></div></div></div></div></div></div></div></div></div>
<br><div><div><div><div>AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. &auml;. (m/w/d)</div><div>
primaholding GmbH</div><div>
IT &amp; Entwicklung</div></div></div><div><h3 class="jobSectionHeader"><b>
AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. &auml;. (m/w/d) &ndash; KI, Automatisierung &amp; intelligente Gesch&auml;ftsprozesse</b></h3></div><div><div>
Sehr geehrte Damen und Herren,</div></div><div>
<div></div><div><div><div>Wir suchen zum n&auml;chstm&ouml;glichen Zeitpunkt einen</div>
<h3 class="jobSectionHeader"><b>AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. &auml;. (m/w/d)</b></h3>
<div>AID0626HP</div>
<div><div><div><div>Ihre Aufgaben</div><ul>
<li>Entwicklung und Implementierung intelligenter Automatisierungs- und KI-L&ouml;sungen f&uuml;r verschiedenste Unternehmensbereiche</li>
<li>Integration von KI-L&ouml;sungen in bestehende Unternehmenssysteme und Gesch&auml;ftsprozesse &uuml;ber APIs und Automatisierungsplattformen</li>
<li>Konzeption, Einf&uuml;hrung und Optimierung von Chatbot- und Voicebot-L&ouml;sungen f&uuml;r Vertrieb und Kundenservice</li>
<li>Entwicklung intelligenter Workflows zur Verarbeitung und Steuerung von Kundenanliegen aus E-Mail, Briefpost, Telefonie und weiteren Kommunikationskan&auml;len</li>
<li>Entwicklung von KI-gest&uuml;tzten Workflows, Agentensystemen und Entscheidungslogiken zur Automatisierung von Gesch&auml;ftsprozessen</li>
<li>Auswahl der jeweils sinnvollsten Technologien f&uuml;r den Anwendungsfall &ndash; von klassischer Prozessautomatisierung bis hin zu modernen KI- und LLM-L&ouml;sungen</li>
<li>Kontinuierliche Analyse und Optimierung bestehender KI-Anwendungen anhand von Nutzungsdaten, Qualit&auml;tskennzahlen und Business-KPIs</li>
</ul></div></div><div><div><div>Ihr Profil</div><ul>
<li>Abgeschlossenes Studium in den Bereichen Informatik, K&uuml;nstliche Intelligenz, Maschinelles Lernen, Computer Science, Data Science, Wirtschaftsinformatik oder in einer vergleichbaren Fachrichtung bzw. eine vergleichbare Qualifikation</li>
<li>Gute Kenntnisse im Bereich K&uuml;nstliche Intelligenz, insbesondere Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG) oder Agentensysteme</li>
<li>Erfahrung in der Entwicklung von Automatisierungs- und Softwarel&ouml;sungen, idealerweise mit Python und modernen API-Architekturen</li>
<li>Erfahrung in der Entwicklung von KI-gest&uuml;tzten Anwendungen, Agentensystemen und intelligenten Automatisierungsl&ouml;sungen sowie im Einsatz moderner Frameworks zur Integration von Sprachmodellen und Unternehmenssystemen ist von Vorteil.</li>
<li>Verst&auml;ndnis f&uuml;r Gesch&auml;ftsprozesse und die F&auml;higkeit, diese durch intelligente Automatisierung effizienter zu gestalten</li>
<li>Begeisterung f&uuml;r neue Technologien und die Bereitschaft, innovative Ans&auml;tze pragmatisch in die Praxis umzusetzen</li>
<li>Analytisches Denkverm&ouml;gen sowie eine strukturierte und l&ouml;sungsorientierte Arbeitsweise</li>
<li>Eigeninitiative, Kreativit&auml;t und Freude daran, neue Ideen bis zur produktiven Umsetzung voranzutreiben</li>
<li>Ausgezeichnete Deutschkenntnisse in Wort und Schrift sowie gute Englischkenntnisse</li>
</ul></div></div></div><div><div><div>Wir bieten Ihnen</div><ul>
<li>Eine hohe Sicherheit in einem unbefristeten Arbeitsverh&auml;ltnis</li>
<li>Eine kompetente Einarbeitung und jederzeit verf&uuml;gbare Ansprechpartner</li>
<li>Eigenverantwortliches Arbeiten</li>
<li>Interkulturelle und interdisziplin&auml;re Teams</li>
<li>Moderne Arbeitspl&auml;tze auf dem technisch neusten Stand in Wohlf&uuml;hlatmosph&auml;re</li>
<li>Sehr gute Verkehrsanbindung und ein eigener Parkplatz mit kostenloser Ladestation</li>
<li>Erstklassige Kaffee- und Teespezialit&auml;ten sowie Obst zum freien Verzehr</li>
<li>Die M&ouml;glichkeit, sich private Pakete ins B&uuml;ro zustellen zu lassen</li>
<li>Subventioniertes frisches Mittagessen, Snacks und Getr&auml;nke</li>
<li>Attraktive Mitarbeiter-Benefits, z. B. satte Rabatte und Zusatzleistungen auf unsere Strom &amp; Gas Tarife, Mobilfunk Flatrates, Festnetz &amp; Internet&hellip;</li>
</ul>
</div></div></div><div><div><p>Sie m&ouml;chten mit uns gemeinsam durchstarten?</p>
<p>Dann senden Sie Ihre vollst&auml;ndigen Bewerbungsunterlagen unter Angabe der Kennziffer und des fr&uuml;hestm&ouml;glichen Eintrittstermin bitte direkt &uuml;ber unser Online-Formular anFrau Jonscher.</p>
<p><i>Wir freuen uns auf Ihre Bewerbung!</i></p></div></div></div></div></div><p></p>

AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. ä. (m/w/d)

legartis technology AG

<div><h4 class="jobSectionHeader"><b>Description</b></h4><p></p><p>
Legartis is on a mission: <b>to unlock legal work at scale.</b></p><p>
We have already set the standard for AI-powered contract review, helping teams work with greater precision than ever before. But that is just the beginning. We are building a holistic platform that goes far beyond review - connecting people, ideas, and knowledge to fundamentally change how legal teams operate.</p><p><b>
When you join Legartis, you don&rsquo;t just take a job - you take ownership. </b>We are a team of product builders and legal experts who believe that true problem-solving requires more than just code; it requires a thoughtful process. We don't chase hype; we build substance. If you&rsquo;re a tech savvy product marketer who understands the audience and fuels growth through product marketing, this is your opportunity to make a significant impact in an emerging industry.</p><p>
Ready to build great things together?</p><p><i>
Please submit your CV along with a Cover Letter outlining your Ambition to join Legartis. Applications without a Cover Letter will not be accepted.</i></p><p></p><h4 class="jobSectionHeader"><b><br>
Your mission</b></h4><p></p><p><b>
You shape how Legartis wins in the market:</b></p><ul><li><p><b>
Make our products clearly differentiated and highly competitive</b> - by developing and continuously sharpening positioning and messaging across our portfolio.</p></li><li><div><b>
Drive go-to-market strategy and execution</b> for launches, expansion, and adoption - from plan to impact.</div></li><li><div><b>
Find market opportunities others miss</b> - deep knowledge of our ICP, competitive landscape, and buyer needs isn't just insight work, it's how you shape what we build and how we sell it.</div></li><li><div><b>
Arm every team to win</b> - create the assets, narratives, and enablement materials that make Sales, Marketing, and CS more effective.</div></li><li><div><b>
Feed product strategy with market truth</b> - bring customer and competitive intelligence back to the product team so we build what matters.</div></li><li><p><b>
Work across the company, not in a silo</b> - you sit in Product, but your influence reaches Marketing, Sales, and leadership.</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p></p><ul><li><div><b>
4+ years</b> in marketing, growth, product marketing, or product management at a SaaS company. Creativity matters more than a traditional background.</div></li><li><div><b>
Proven strategist: </b>demonstrated success creating and executing marketing strategies.</div></li><li><div><b>
Storyteller:</b> you craft compelling materials about complex AI products for non-technical audiences.</div></li><li><div><b>
Clear communicator:</b> exceptional written and verbal communication with a strong visual sensibility.</div></li><li><div><b>
Impact-driven:</b> comfortable with experimentation and interpreting both quantitative and qualitative data.</div></li><li><div><b>
AI-savvy: </b>crafty with AI tools and automations &mdash; you use them daily and keep exploring what's new.</div></li><li><div>
Fluent in <b>English</b> and <b>German</b>.</div></li><li><div><b>
Nice to have:</b> previous experience in legal tech.</div></li><li><div>
You are warm, pragmatic, and naturally curious. You ask the right questions, communicate clearly, and have a bias toward action. You are a true team player who elevates the people around you.</div></li></ul><p></p><h4 class="jobSectionHeader"><b>
Why us?</b></h4><p></p><ul><li><p>
Shape the future of Legal Tech in an emerging market building an impactful AI product.</p></li><li><div>
Opportunity to work self organised and add to technology as well as features.</div></li><li><div>
Work with a talented and dedicated team of researchers and engineers. Here you can make an impact and grow professionally.</div></li><li><div>
Competitive salary and participation of the Employee Stock Ownership Plan (ESOP).</div></li><li><div>
Modern office in Leipzig with at least 2 days per week in the office or hybrid in Berlin.</div></li><li><p>
Regular team events in Zurich, Leipzig and offsite like restaurant testing, hiking and more.</p></li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Process</b></h4><p></p><p>
Our process is built on respect and transparency:</p><ul><li>
30 min. interview with People &amp; Operations Manager (cultural fit): Have a chat to get an understanding of Legartis and the role you are interested in. We in turn want to get to know you and your expectations of your next challenge.</li><li>
20 min. interview with Head of Product (professional fit): Understand the professional requirements for this position better, as well as your future tasks and team setup.</li><li><div>
1h interview with Product and Marketing teams (case study): To demonstrate your abilities, you have an in-depth interview with our product team. You showcase your abilities by presenting a real life use case in product marketing.</div></li><li><div>
Additional interviews: Meet the team you would be working with and take the opportunity to pose any remaining questions. One meeting will be in our Leipzig office to meet the team in person and get to know the work place.</div></li><li><p>
Decision is made: If we&rsquo;re considering each other to be the right fit, you are welcomed by the Legartis team!</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
We are Legartis, a LegalTech company that is changing the way contracts are reviewed and analyzed today. Our SaaS solution uses artificial intelligence to automate contract review for legal departments and law firms. We are a growing and ambitious team on a mission to eliminate repetitive tasks in everyday legal work. Since our founding in 2017, we have won various awards such as the Swiss Fintech Awards, been listed as a Top100 startup in Switzerland and named by Forbes as one of the best AI startups in the DACH region.</p></div>

Product Marketing Manager (Berlin)

Adsquare

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   About the Company
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  At Adsquare, our mission is driven by our core focus:
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    Passion
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   &ndash; Solving complex challenges with great people, tech, and data.
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    Niche
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   &ndash; Location Intelligence for Programmatic Advertisers.
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  Our core values are integral to everything we do:
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    Drive
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   : We turn ambition into action to deliver valuable outcomes.
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    Resilience
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   : We adapt, persevere, and grow stronger.
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    No BS
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   : We value honesty, transparency, and clear communication.
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    Humble
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   : We choose modesty over vanity and let results speak for themselves.
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    Moral Compass
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   : We do the right thing with fairness, integrity, and respect.
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  We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.
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  <strong>
   About the Role
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  As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs.
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   Responsibilities
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    Data Pipeline Ownership
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   : Take full accountability for the pipeline lifecycle&mdash;from raw data ingestion to transformation and external delivery&mdash;according to defined SLAs, time, and budget.
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    Architect Scalable Solutions
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   : Design and build robust data architectures required to process and transfer terabytes of data.
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    Pipeline Optimization
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   : Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling.
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    Engineering Rigor
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   : Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code.
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    Data Monitoring
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   : Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making.
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    Collaboration &amp; Mentorship
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   : Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices.
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   Qualifications
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  We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment.
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   Required Skills
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    Programming Mastery
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   : Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles.
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    Big Data &amp; PySpark
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   : Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg.
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    Advanced Optimization Skills
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   : Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles.
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    Database &amp; Storage Architecture
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   : Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (NoSQL) databases, and horizontally scalable data warehouses/lakehouses (e.g., Redshift, Snowflake, StarRocks).
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    Cloud Native (AWS)
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   : Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch).
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    Infrastructure &amp; Orchestration
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   : Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions.
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    Engineering Fundamentals
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   : Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines.
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    AI tools
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   : Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code.
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   Preferred Skills
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    Compiled Languages
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   : Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython).
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    Geospatial Data
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   : Experience working with GIS (Geographic Information Systems) and geo-spatial datasets.
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    Data Formats
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   : Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance.
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    Streaming Technologies
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   : Familiarity with Kafka and Flink.
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    Backend Context
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   : Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design).
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   Pay range and compensation package
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  55,000 - 65,000 euros per year
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  On top of a competitive package, we offer:
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   Hybrid work model + remote work from anywhere worldwide up to 3 months/year
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   Individual yearly learning budget of 1,200&euro;
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   30 vacation days per year
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   Urban Sports Club membership
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   Company pension scheme
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   Regular team and company events
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   Latest hardware and all tools you need to thrive
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   Equal Opportunity Statement
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  We are committed to diversity and inclusivity.
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  Apply now!
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</div>


Data Engineer (m/f/d)

Staffbase

<div><div><h3 class="jobSectionHeader"><b>About Staffbase</b></h3>
<p>
We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first <b>AI-native Employee Experience Platform</b>. Our<b> industry-leading and award-winning agentic AI communications channels</b> - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.</p>
<p>
Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis&ndash;St. Paul, our diverse team of 750+ employees supports 2,000+ customers&mdash;reaching over 16.4 million employees&mdash;in transforming their employee experience.<br>
We are proud to be a <b>Unicorn</b> company&mdash;privately valued at over $1 billion&mdash;demonstrating strong growth, innovation, and lasting impact in our industry. Together, we're shaping the future of workplace communication.</p></div><p><b>
Engineering Manager &ndash; Data &amp; Analytics</b></p>
<p>
As Engineering Manager for our Data &amp; Analytics team, you will lead a team of 4-5 engineers while staying meaningfully hands-on as a technical player-coach. This is not a traditional management role. You are someone with a strong and senior data engineering background who genuinely wants to step into management. You will own the team's delivery, drive stakeholder alignment, and bring the technical depth needed to develop your team and keep us on the right track.</p>
<p>
You will work closely with the Director of Engineering and product stakeholders, on sequencing, prioritization, and roadmap negotiation &mdash; with enough technical grounding to make sound decisions and mentor engineers day to day.</p>
<p><b>
Our environment</b></p>
<ul>
<li>Data operates on two fronts: maintaining and evolving a self-service data platform, and delivering as a product team</li>
<li>While the overall architecture direction is established for the near term, you'll shape the details and influence the technical direction as the roadmap extends into 2027 and beyond.</li>
<li>You are the voice on data. Driving delivery and managing the interfaces with the broader staff engineering community available to support on high-level architectural input.</li>
<li>Data governance for AI agents is an emerging and fast-growing priority &mdash; a technically exciting area we're starting to build into</li>
</ul>
<p><b>What you'll be doing</b></p>
<ul>
<li>Lead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering culture</li>
<li>Own the team's roadmap sequencing. Negotiating priorities with product stakeholders, pushing back where needed, and finding constructive compromises</li>
<li>Mediate between platform and product demands: the team operates across data platform and product delivery simultaneously, and you will balance both</li>
<li>Bring hands-on experience in Data streaming to guide the team through an active transition</li>
<li>Raise the bar on data modeling across the team</li>
<li>Drive the cultural and technical shift toward distributed data ownership, helping product teams progressively own their own data</li>
<li>With your extensive Data Engineering experience you will collaborate with the broader staff engineering community on cross-cutting architectural decisions where needed</li>
<li>Build the foundations for AI data governance &mdash; as agentic analytics becomes customer-facing, you will need to think through guardrails, access control, and safety for AI agents interacting with data</li>
</ul>
<p><b>What you need to be successful</b></p>
<ul>
<li>Proven experience at Staff Engineer level (or equivalent) in a data engineering context. You have been deep in the technical work and now want to lead people</li>
<li>A genuine player-coach mindset</li>
<li>Strong stakeholder management skills. You thrive in negotiation, can push back confidently, and know how to reach workable compromises with product teams</li>
<li>Solid data modeling skills and the credibility to make it a team-wide standard</li>
<li>Experience managing or developing engineers. Coaching technical fundamentals and growing product thinking</li>
<li>Strong communication skills and the ability to drive a cultural shift toward distributed, self-service data ownership</li>
<li>Comfort operating across both platform and product delivery contexts</li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li>Experience with data governance for AI agents &mdash; guardrails, access control, and safety considerations for agentic analytics</li>
<li>Familiarity with data lakes, semantic layers, and orchestration tooling at scale</li>
<li>Experience in a product-led B2B SaaS environment</li>
<li>Hands-on streaming experience (e.g. Kafka or Flink)</li>
</ul>
<p><b>What you'll get</b></p>
<ul>
<li><i>Competitive Compensation</i> - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li><i>Flexibility </i>- we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of &euro;1560</li>
<li><i>Recharge</i> - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li><i>Support</i><b> </b>-<b> </b>we offer offering a company pension scheme</li>
<li><i>Volunteers Day</i><b> </b>- you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Engineering Manager, Data & Analytics

Numa

<div><div><h3 class="jobSectionHeader"><b>ABOUT NUMA</b></h3>
<p>
Hey there! We're Numa, a forward-thinking hospitality brand redefining how people discover cities. We create spaces where simplicity meets innovation, offering thoughtfully designed rooms, studios, and apartments in the heart of Europe's most vibrant neighbourhoods.<br>
We're not just transforming the guest experience&mdash;we're revolutionizing the hospitality industry from the inside out. Our cutting-edge technology streamlines operations, delivering unparalleled value with no hidden fees&mdash;just real, quality experiences.<br>
At Numa, we believe that travel should be curious and authentic, and we bring those same values to our work culture. As part of our team, you'll experience a dynamic and supportive environment where creativity thrives, and your contributions make a real impact. We're committed to fostering a diverse, inclusive, and equitable workplace where every voice is valued, and different perspectives fuel our innovation.</p></div><h3 class="jobSectionHeader"><b>
WHY THIS ROLE EXISTS</b></h3>
<p>
Anyone can stand up a warehouse. The hard part is taking a good data foundation and making the whole organisation trust it, use it, and decide with it. That's where Numa is. Having grown to 40 cities across Europe in just six years, we already have a solid data stack and most of our data centralised in the warehouse. The opportunity now is to take it to the next level: from data that's <i>available</i> to data that's <i>proven, accurate, and trusted enough to drive commercial decisions</i> &mdash; and to bring the remaining pockets that still live in spreadsheets into the same foundation.</p>
<p>
The order matters: good process creates trusted data, trusted data creates KPIs leaders can decide on, and only then does AI add real leverage rather than noise. We're already experimenting with AI analytics; this role makes that robust &mdash; better practices, higher trust, and data that is genuinely AI-ready, so the experiments become a dependable capability.</p>
<p>
Just as important is the human side: raising data literacy across the company and enabling department heads to own and self-serve their own numbers, so good data drives everyday decisions rather than sitting in a central team's queue. This role owns that shift &mdash; not as an engineer who builds pipelines or an analyst who pulls numbers, but as the person who sets the data strategy, translates commercial needs into a scalable architecture, and lifts the whole organisation's data maturity.</p>
<h3 class="jobSectionHeader"><b>
WHAT YOU'LL OWN</b></h3>
<p>
You sit at the intersection of three things, and the rare skill is connecting them:</p>
<ul>
<li><b>Commercial translation.</b> This is the core of the job. You partner with Finance, Real Estate, HR, Growth to understand what they actually need, then translate that into the right data strategy &mdash; scalable and sustainable, not a one-off.<br>
</li>
<li><b>Quality, trust, and AI-readiness.</b> You take our data from available to dependable &mdash; proven, accurate, and high-quality enough that leaders decide on it without a second source. That includes bringing the remaining data still living in spreadsheets into the shared foundation, and raising the bar on governance and quality across the board. It's as much about people as architecture: making the shared, trusted version the obvious choice, and lifting data literacy so teams use it well. This is also what makes our AI analytics robust rather than experimental &mdash; trustworthy, well-modeled data is the precondition for AI that can be relied on, and you make that foundation real.<br>
</li>
<li><b>Strategy &amp; architecture direction.</b> You set the direction for the data stack &mdash; what each layer is for, what we should test, what we adopt or retire &mdash; and you bring rigour and challenge to those choices. You don't own or run the platform; our Data Engineering lead owns execution and does it well, with strong opinions of his own and the standing to challenge you back. Your job is the strategic counterpart to that: pushing new solutions, pressure-testing the architecture, and making sure every layer earns its place &mdash; so the stack is challenged by more than one person. You need a clear, opinionated grasp of the options and the judgment to make build/buy/test calls without being attached to any one technology.</li>
</ul><h3 class="jobSectionHeader"><b>WHAT WE'RE LOOKING FOR</b></h3>
<ul><li>Senior judgment on the modern data stack &mdash; you can explain what a semantic layer is, what a warehouse is, what the credible options are, and defend a stack choice (and argue the opposite). Depth in any single tool is welcome but not the bar.</li>
<li>A track record of <b>commercial translation</b> &mdash; you've sat with non-technical business teams, understood their domain well enough to model it, and turned that into durable data structures. This is the disqualifying gate: strong elsewhere but weak here is a no.</li>
<li>A track record of <b>raising data maturity</b> &mdash; taking a working data setup to the next level on quality, governance, and trust, and consolidating the last pockets of siloed data into a shared foundation. Bonus if you've won over the people who were attached to their own spreadsheets.</li>
<li>An <b>AI-ready mindset</b> &mdash; you treat AI fluency as the payoff of clean, governed data, and know how to make AI analytics trustworthy and robust rather than experimental.</li>
<li>Comfortable as a peer to senior commercial leaders; credible with both a GM and a C-level audience.</li>
</ul><div><h3 class="jobSectionHeader"><b>ABOUT OUR OFFER</b></h3>
<ul><li><b>Empower your career:</b> Thrive in a fast-paced, collaborative environment where your ideas help shape our future. Enjoy opportunities for professional growth and build a fulfilling career path.</li>
<li><b>Experience our brand:</b> Immerse yourself in the Numa lifestyle with a complimentary stay. Share the love with friends and family through exclusive discounts on our stylish apartments. Connect with a global community of colleagues at our inspiring team-building events.</li>
</ul>
<p>Numa <i>values the diversity of the people it hires and serves. Diversity at our company means fostering a workplace in which individual differences are recognised, appreciated, respected and responded to in ways that fully develop and utilise each person's talents and strengths. We therefore welcome applications from people of all races, ethnicities, disability statuses, ages, religions, gender identities, and sexual orientations.</i><br>
<br>
<i>For more information on the processing of your personal data, please see our </i><i>Privacy Notice</i><i>.</i></p></div></div>

Head of Data (m/f/d)

Explore 31+ Founding data scientist in Berlin this July. Find roles across top companies and apply now to boost your career.