founding software engineer (backend, cloud & ai infrastructure)

ai engineer (m/f/d)

senior data engineer

data engineer

(junior) ai engineer (m/f/d) Jobs in Berlin

(junior) ai engineer (m/f/d)

founding software engineer (backend, cloud & ai infrastructure) Jobs in Berlin

ai machine learning engineer all genders

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>
 <div><div>Junior Applied Scientist (all genders) - B2B Data Science and Algorithms
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.
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.
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!
WHY YOU SHOULD BE INTERESTED&hellip;<ul><li>
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.</li><li>
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.</li><li>
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.</li><li>
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.</li><li>
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.</li></ul> 
WE&rsquo;D LOVE TO MEET YOU IF&hellip;<ul><li>
Educational background in a quantitative field; Masters degree or higher preferred.</li><li>
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.</li><li>
A solid theoretical foundation and practical exposure in at least one of the following areas:</li><li>
Machine Learning or Deep Learning for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers).</li><li>
Operations Research and Optimization (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations).</li><li>
Machine Learning Engineering basics (e.g., understanding of git, batch processing, basic software testing).</li><li>
Agentic AI &amp; MCP evaluation frameworks</li><li>
Proficiency in SQL and Python, with some exposure to working with datasets.</li><li>
Strong communication skills with the ability to explain scientific concepts clearly and a desire to learn how to communicate effectively with business stakeholders.</li><li>
A collaborative, growth-oriented mindset. You have a passion for learning by doing and are not afraid to ask questions.</li><li>
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.</li></ul>
INCLUSIVE BY DESIGN
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.
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.
do.BETTER - our diversity &amp; inclusion strategy: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion
OUR OFFER<ul><li>
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.</li><li>
Employee shares program</li><li>
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners</li><li>
2 paid volunteering days per year</li><li>
27 days of vacation a year to start for full-time employees</li><li>
Family services, including counseling and support</li><li>
Health and wellbeing options (including Wellhub, formerly Gympass)</li><li>
Mental health support and coaching available</li><li>
Drive your development through our training platform and biannual peer-to-peer review</li></ul></div><div>
Recruiter
Casimir Udegbunam
casimir.udegbunam@zalando.de</div><div>
 Nach der Pr&uuml;fung werden unsere Recruiter*innen &uuml;ber eine offizielle Zalando E-Mail-Adresse (@zalando.de) Kontakt aufnehmen.
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.</div></div>
 <div></div><div><div><div><h2 class="jobSectionHeader">&Uuml;ber Zalando</h2>
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.</div></div></div>

Junior Applied Scientist (all genders)

autarc GmbH

<div><h4 class="jobSectionHeader">Company</h4>
Founded in Berlin, autarc is a ~40 person start-up who were part of Y Combinator&rsquo;s S24 batch in San Francisco. Our team consists of people in Sales, Tech and Operations, with the Engineering &amp; Product department currently ~20 people, as we continue to grow throughout the year.<h4 class="jobSectionHeader"> 
Role description</h4>
We're looking for a Product Manager to work in one of our key product teams in building the leading OS for Europe's heat pump and solar workforce.<div> 
You'll work alongside a team that consists of a Machine Learning Engineer, Software Engineers and an iOS Engineer, helping shape and maintain our product roadmap, run planning sessions and sprint preps with team leads, manage tickets in Linear and open Cursor to ship stuff yourself.</div><div></div><div> 
We're always looking to build the next generation product and with a clear vision to become the agentic OS for the workforce behind the energy transition, that includes leveraging LLMs and NLP in building an AI voice agent to increase efficiencies.</div> 
Other responsibilities will be as follows: 
<ul><li>
Support leadership in shaping and prioritising the product roadmap</li><li>
Run product discovery alongside our teams through direct customer engagement</li><li>
Manage product operations in Linear: triage, prioritisation, sprint hygiene</li><li>
Build and ship features or prototypes directly using AI-assisted development tools (Lovable, Figma, Cursor, Copilot)</li><li>
Facilitate planning sessions with product teams and sprint preps with engineering leads</li><li>
Represent autarc in customer calls, sales meetings, and training sessions</li><li>
Work alongside our Engineers in building and shipping material</li></ul>
This is a Product Manager position but as the landscape of the industry shifts, we also expect you to build and tangibly contribute on a day-to-day basis.<h4 class="jobSectionHeader">
Requirements</h4><ul><li>
2-5+ years of experience as a Product Manager</li><li>
Exposure to working in B2B SaaS</li><li>
AI-native in working with tools to help you run faster and jump higher</li><li>
Experience having worked in an AI-first team/company</li><li>
Track record in conducting user interviews and product discovery</li><li>
A desired obsession to go deep AI, Machine Learning and Computer Vision</li><li>
Berlin-based and willing to work hybrid</li><li>
Native German speaking</li></ul><h4 class="jobSectionHeader">
What we offer</h4><ul><li>
Freedom to choose your own equipment (within a budget)</li><li>
26 paid vacation days</li><li>
An annual team retreat</li><li>
The choice between Dance or JobRad for mobility</li><li>
The choice between Classpass or Urban Sports Club for fitness</li><li>
Regular team events, lunches and activities</li></ul><h4 class="jobSectionHeader"> 
Next steps</h4>
If your application is successful, you will participate in the following: 
<ul><li>
Screening call with Louis (Recruiter)</li><li>
Culture fit call with an Engineer</li><li>
Take home case study/exercise</li><li>
Final on-site interview with Etienne (CEO) and the team</li></ul><h4 class="jobSectionHeader">
About us</h4>
Right now, 25% of CO2 emissions in Europe are caused by heating our buildings. In order for this to be reduced, the transition towards renewable energy needs to be simplified and made more accessible. There are too few installers to meet the growing demand for heat pumps, and a solution to match this trend needs to be brought to the market. 
autarc is developing the leading operating system (OS) for heat pump installers, enabling a more digital and efficient installation process for heat pumps. 
Through this, autarc is reducing the hurdles to decarbonizing single-family homes and small apartment buildings in Europe, with the goal to help with the planning and designing of 1 million heat pumps by 2030.</div>

Product Manager (AI)

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Berlin to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Germany-based)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely in English
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer – Machine Learning (AI Training)

Xenon7

<div>About us:
Where elite tech talent meets world-class opportunities!
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.
We are building a community of top-tier experts and we&rsquo;re opening the doors to an exclusive group of exceptional AI &amp; ML Professionals ready to solve real-world problems and shape the future of intelligent systems.
Location: Remote (Europe - CET) 
Experience: 5+ Years
Project Duration: ~ 2 months (B2B contract) 
Availability: Immediate Joiner
Role Overview
We are seeking a visionary and highly skilled Senior Data Scientist 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.<ul><li>
Architect Document Intelligence Solutions: 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>
Develop LLM &amp; Retrieval Systems: 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>
End-to-End ML Pipelines: 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>
Bridge Chemistry &amp; AI: Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.</li><li>
Cloud Architecture &amp; Deployment: Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.</li><li>
Cross-Functional Collaboration: 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> 
Requirements 
<ul><li>
Professional Experience: 5+ years of proven experience working as a Data Scientist, with a track record of delivering production-grade machine learning models.</li><li>
Domain Expertise: 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>
Core Technical Stack: Advanced proficiency in Python and deep hands-on experience with the AWS cloud stack (e.g., SageMaker, Lambda, S3, EC2).</li><li>
Generative AI &amp; Search: Practical, hands-on experience working with LLMs (fine-tuning, prompt engineering, or API integration) and vector databases (e.g., Pinecone, Milvus, Weaviate, or Qdrant).</li><li>
ML/DL Mastery: Robust experience in model development, validation, deployment, and evaluation framework tools (e.g., PyTorch, TensorFlow, Scikit-Learn).</li><li>
Document Processing (Plus): Prior experience with Computer Vision, Optical Character Recognition (OCR), or Document AI systems is highly desirable given the scanned PDF focus.</li><li>
Soft Skills: Strong analytical problem-solving skills, excellent communication, and the ability to thrive in a highly collaborative, cross-disciplinary project environment.</li></ul> 

Benefits 
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.<ul><li>
Ecosystem of Opportunity: 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>
Collaborative Environment: 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>
Flexible &amp; Impact-Driven Work: 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>
Talent-Led Innovation: 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

Delivery Hero

<div>Company Description 
As the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe&rsquo;s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. 
Job Description 
We are looking for a Staff Security Engineer (all genders) to join our Product Security team on our journey to always deliver amazing experiences.
We are looking for a pragmatic, high-impact individual contributor to join our Product Security team as a Staff Product Security Engineer (IC4). In this pivotal role, you will drive the overarching technical strategy for application security, ensuring we reduce real-world risk across our entire product landscape without slowing down engineering velocity.
You will champion a &quot;Secure by Design&quot; philosophy, moving away from reactive auditing and security gatekeeping. Instead, you will treat security as a collaborative engineering challenge, designing the automated guardrails, developer tooling, and technical frameworks that enable our engineering teams to scale rapidly and securely by default. As a Staff-level individual contributor, your leadership will extend beyond the immediate product boundaries and you will achieve domain-wide impact by seamlessly bridging the gap between Application Security, AI/ML security, Infrastructure Security, and Security Operations.
Your mission:<ul><li>
Drive Product Security Maturity: Drive the strategic technical roadmap for the Product Security team, ensuring threat-modeling methodologies and secure coding practices scale efficiently across our global web and mobile application ecosystem.</li><li>
Lead Threat Modeling &amp; Security Architecture Reviews: Apply your expertise to identify complex security design flaws early in the Software Development Life Cycle (SDLC) using frameworks and automation tools, co-authoring architectural blueprints that are secure by default.</li><li>
Scale Vulnerability Management &amp; Governance: Architect and run our vulnerability management program at scale. You will ingest inputs from internal testing, automated tooling, and external Bug Bounty / Vulnerability Disclosure Programs, systematically validating and ranking vulnerabilities based on actual business risk.</li><li>
Master Stakeholder Management: Translate complex software and AI-related vulnerabilities into clear, actionable business risks, partnering closely with engineering leadership and product verticals to drive timely remediation without friction. systematically tracking and optimizing metrics such as Mean Time to Remediate (MTTR) and SLA Adherence % to elevate our overall security posture.</li><li>
Automate DevSecOps &amp; CI/CD Pipelines: Replace manual gates with seamless DevSecOps workflows, embedding automated security testing tools (SAST, DAST, SCA) directly into developer pipelines to catch high-risk flaws early.</li><li>
Pioneer AI-Driven Security Automation: Champion the adoption of artificial intelligence and LLMs to revolutionize our security workflows. You will design and implement cutting-edge AI-powered code security automation, leverage AI for automated vulnerability triage, and build smart security automation guardrails that scale engineering productivity.</li><li>
Cross-Domain Collaboration &amp; CSPM Management: Drive domain-wide impact by collaborating with Infrastructure Security to leverage Cloud Security Posture Management (CSPM) platforms, ensuring that application vulnerabilities are contextualized with cloud risk. Partner with Security Operations (Detection &amp; Response) to ensure proper application logging, alerting, and incident readiness.</li><li>
Mentor and Inspire: Act as a technical beacon within the security and engineering organizations. Define key security metrics, drive a strong security culture, and mentor junior and senior engineers to foster a world-class community of Security Champions</li></ul> 
Qualifications<ul><li> 
Proven Engineering Leadership: A strong track record of driving complex application security and DevSecOps initiatives as a staff-level individual contributor in massive, global software environments.</li><li>
Comprehensive Web &amp; Mobile Security: Deep, fundamental understanding of modern web and mobile application security topics, including hands-on experience managing external Bug Bounty and vulnerability disclosure programs.</li><li>
AI Security Expertise: Strong working knowledge of industry-standard security frameworks for artificial intelligence, such as the OWASP Top 10 for LLM Applications, MITRE ATLAS, and the NIST AI RMF.</li><li>
AI &amp; Security Automation Hands-on Experience: Practical understanding of utilizing artificial intelligence (including LLMs/Generative AI) for security engineering use cases, such as automated vulnerability analysis, script generation, triage optimization, and code security remediation.</li><li>
Privacy, Ethics &amp; Regulations: A solid understanding of global data privacy laws (e.g., GDPR), ethical AI considerations, and the regulatory impacts of the EU AI Act on application architecture.</li><li>
Risk-Based Vulnerability Management: Strong expertise in vulnerability validation and triage, with the ability to look past raw CVSS scores to calculate actual business impact, coupled with excellent stakeholder management skills to align engineering teams on remediation.</li><li>
Secure Coding &amp; Remediation Proficiency: Deep hands-on proficiency in multiple modern programming languages (e.g., Java, Python, Go) and the ability to confidently code, review, and remediate complex vulnerabilities (such as the OWASP Top 10) directly within application repositories.</li><li>
Cloud &amp; CSPM Familiarity: Strong working knowledge of cloud security (AWS, GCP, or Azure) and containerized ecosystems (Kubernetes, Docker), alongside an understanding of how to align application security signals with Cloud Security Posture Management (CSPM) platforms.</li><li>
Identity &amp; Access Management (IAM): Deep understanding of modern authentication and authorization protocols (OAuth, OIDC, SAML) and how to design and enforce Zero Trust architectures at scale.</li><li>
Cross-Functional Security Ops Alignment: Basic working knowledge of security operations, threat detection, and incident response, ensuring that product architectures are built to be auditable, observable, and resilient against live attacks.</li></ul>
Nice to have:<ul><li>
Experience securing highly distributed, event-driven microservices architectures at global scale.</li><li>
History of public security research, CVE discovery, or active contributions to open-source security or AI safety tooling.</li><li>
Advanced application security or cloud certifications (e.g., CSSLP, CASE, AWS Security Specialty, Google Professional Cloud Security Engineer, or CISSP).</li></ul> 
Additional Information 
Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you&rsquo;re in good shape, then we&rsquo;re in good shape.<ul><li>
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week</li><li>
We offer 27 days holiday with an extra day on 2nd and 3rd year of service</li><li>
We will support you in developing yourself and your career growth opportunities: 1.000 &euro; Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.</li><li>
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym &amp; Bicycle Subsidy</li><li>
Cash. Dough. Cheddar. Whatever you call it, we&rsquo;ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life &amp; Accident Insurance, Corporate Pension Plan</li><li>
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.</li></ul> 
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.cominclude it in your application. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.<div></div>
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</div>

Staff Security Engineer, Product Security team

<div><h2 class="jobSectionHeader">About the Opportunity</h2>

We are seeking a Junior Backend Engineer to join the Data Ingestion Team within the Platform Engineering Domain. This is an exciting opportunity for an early-career engineer to grow their skills building high-throughput data processing systems.

Platform Engineering's mission is to provide trusted, performant, and self-service platforms. As part of this, the Data Ingestion team is responsible for building and maintaining the pipelines that power our bank's data ecosystem, focusing on reliability, scalability, and clean engineering practices.

The ideal candidate is an eager learner who is excited to dive into new technologies and solve technical challenges with the support of a senior team. We value engineers who are self-driven, seek constructive feedback, and thrive in a collaborative environment that prizes technical growth.
<h2 class="jobSectionHeader">
In this role, you will:</h2>
<ul><li>Software Development: Work under the guidance of senior engineers to develop and maintain backend services for our data ingestion platform.</li>
<li>Engineering Support: Support the team in applying strong engineering practices including writing automated tests, participating in code reviews, and maintaining observability.</li>
<li>Proactive Learning: Proactively ask questions, propose small improvements, and collaborate with the team to deliver clean, testable code for our platform services.</li>
<li>Knowledge Sharing: Participate in technical discussions, contribute to internal documentation, and help us maintain a transparent knowledge base.</li>
<li>Development Contribution: Contribute to infrastructure development tasks and participate in technical demos to showcase your work.</li>
<li>Shadow and Respond: Shadow on-call rotations and assist in troubleshooting efforts to learn incident response protocols.</li>
<li>Observability Support: Learn to maintain and use observability solutions (metrics, logging, tracing) to help the team track platform SLOs and availability.</li>
</ul><h2 class="jobSectionHeader">What you need to be successful</h2>
<h3 class="jobSectionHeader">Background and Skills:</h3>
<ul><li>Strong foundational backend skills, with a preference for Kotlin or Java, and a willingness to adapt to the language best suited for the task.</li>
<li>Exposure to data storage solutions such as PostgreSQL, RDS, or S3.</li>
<li>Basic knowledge of containers (Docker) and an eagerness to learn Kubernetes.</li>
<li>Exposure to infrastructure as code concepts (Terraform or similar).</li>
<li>Interest in learning CI/CD pipelines and modern automation tools.</li>
<li>Understanding of testing pyramids and experience writing unit and integration tests.</li>
<li>Familiarity with at least one observability/monitoring tool (e.g., DataDog, Prometheus, or Grafana).</li>
</ul><h3 class="jobSectionHeader">Nice to have:</h3>
<ul>
<li>Working experience in scale-ups within platform teams.
</li>
</ul><h3 class="jobSectionHeader">Traits:</h3>
<ul><li>Excellent collaboration and communication skills, with the ability to work across teams.</li>
<li>You enjoy taking tasks from start to finish and keeping the team updated on your progress.</li>
<li>A keen interest in understanding how to build high-quality, scalable, and secure infrastructure.</li>
<li>Eagerness to learn and contribute to building platforms as products.</li>
<li>A proactive approach to problem-solving, a desire to learn, and an appreciation for clean code.</li>
</ul><h2 class="jobSectionHeader">What's in it for you:</h2>
<ul><li>Accelerate your career growth by joining one of Europe's most talked about disruptors.</li>
<li>Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness &amp; wellness memberships, language apps and public transportation.</li>
<li>Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. Some roles may require additional in-office presence.</li>
<li>As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
</li><li>Additional day of annual leave for each year of service.
</li><li>A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds.</li>
</ul><h2 class="jobSectionHeader">Who we are</h2>

N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Sounds good? Apply now for this position.

Equal Opportunities:

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.

We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com.

Visit our website to learn more about Diversity, Equity, &amp; Inclusion at N26.</div>

Junior Backend Engineer - Data Ingestion

UNITY Consulting & Innovation

Berlin
 
deutschlandweit
 
Frankfurt a. M.
 
Hamburg
 
Köln
 
München
 
Nürnberg
 
Paderborn
 
Stuttgart
 
Präsenz / Mobil
 
Praktikum
 
Vollzeit
 
Publiziert: 02.07.2026
 
Bereit für ein Praktikum, das den Einstieg in die Welt von Data & AI bietet? Tauche ein in die innovative Arbeitsumgebung von UNITY und entfalte dein Talent im Bereich moderner KI-Technologien und Softwarelösungen.
 
Werde Teil eines Teams , das sich mit Leidenschaft für komplexe Aufgaben einsetzt und Innovationen vorantreibt.
 
Das erwartet dich
 
Gestalte Softwarearchitekturen und setze diese gemeinsam mit dem Team in skalierbaren und produktionsnahen Lösungen für Kunden um.
 
Trage zur Weiterentwicklung von State-of-the-Art Machine-Learning-Services bei, indem du bei der Ergebnisprüfung unterstützt.
 
Entwickle gemeinsam mit unseren Data Consultants innovative Data Services zur Generierung datengetriebener Mehrwerte.
 
Setze Kundenanforderungen mithilfe von Agentic Coding effizient und zielgerichtet um
 
Dokumentiere , analysiere und präsentiere Arbeitsergebnisse strukturiert und adressatengerecht gegenüber den Stakeholdern.
 
Das bringst du mit
 
Im Backend (Python, Node.js o. ä.) und/oder Frontend (React, Vue o. ä.) hast du beim Aufbau einer KI-Applikation mitgeholfen.
 
Erste Erfahrung in der Entwicklung KI-basierter Anwendungen , insbesondere mit Large Language Models (LLMs), Prompt Engineering und Agentic-Coding-Patterns.
 
Wichtig! Prägnanz in Kommunikation und Präsentation auf Deutsch oder Englisch (ab B2-Niveau).
 
Gute Studienleistungen in deinem bereits fortgeschrittenen Bachelorstudium der (Wirtschafts-) Informatik, Data Science, KI oder vergleichbarer technischer Fokus.
 
Außerdem hilfreich für deinen Erfolg bei UNITY: Praktische Erfahrung in Cloud-Platfformen (z.B AWS, Azure oder GCP), Grundkenntnisse in SQL oder Vektordatenbanken sind von Vorteil.
 
Kein 100%iges Match? - Kein Problem! Wir unterstützen dich gern in deiner persönlichen und fachlichen Weiterentwicklung. Also worauf wartest du noch?
 
Das bieten wir dir
 
… die Möglichkeit, den Alltag in der technologiegetriebenen Beratung durch die Mitarbeit in anspruchsvollen AI- und Data-Projekten praxisnah kennenzulernen.
 
Dabei werden grundlegende Methoden der Daten- und KI-Entwicklung vermittelt und direkt im Projektkontext angewendet. Es werden erste Erfahrungen in Kundenprojekten gesammelt sowie Einblicke in moderne Technologien, Machine-Learning-Ansätze und Softwarearchitekturen gewonnen. Gleichzeitig erfolgt ein kontinuierlicher Wissenstransfer durch erfahrene Berater und Entwickler.
 
Folgende weitere Benefits kannst du ebenfalls genießen.
 
Verwirklichung eigener Ideen im Standort oder in den Projekten. Werde Teil unserer Nachhaltigkeitsinitiativen oder nehme an (Sport-)Veranstaltungen und Reisen teil.
 
Flexible Arbeitsmodelle passend zu deinem Studium.
 
Programm students@UNITY, in dem du dich mit UNITIES über ganz Deutschland verbinden kannst.
 
Unsere Standorte, an denen du deutschlandweit arbeiten kannst: Berlin, Frankfurt a. M., Hamburg, Köln, München, Nürnberg, Paderborn/Büren oder Stuttgart.
 
Bewirb dich jetzt mit wenigen Klicks. ​
 
<ul>
<li>UNITY lebt Vielfalt und Chancengleichheit. Bei uns ist jeder unabhängig von Herkunft, Geschlecht, sexueller Orientierung, Handicap, Religion und Alter willkommen.</li>
</ul>
Dein persönlicher Kontakt
 
Bei Rückfragen zum Bewerbungsprozess freut sich Markus (Candidate Experience Management) auf deine Kontaktaufnahme.
 
Markus Stephan
 
+49 221 789587-728

Praktikum AI Engineer

Explore 85+ Ai machine learning engineer all genders in Berlin this July. Find roles across top companies and apply now to boost your career.