(junior) fullstack engineer (m/f/d) for a new product

ai engineer (m/f/d)

data engineer

ai & analytics engineer

ai enablement engineer

analytics engineer

intelligence engineer

BIT Capital

<div>
 
 
 Your role &amp; How we work
 
 
 
 
 
 
 We are hiring an AI Engineer (m/f/d) to holistically develop BIT Capital's LLM and agentic Artifical Intelligence capabilities: from the data science that turns data into investment signals, to the engineering that powers our financial intelligence agents. A strong initial focus is the build-out of &ldquo;Aion&rdquo; - our agentic research platform - that has first-class access to our data, models, and tools and is already in mainstream production, used by the investment team every day. Beyond, your mandate covers everything LLM- and agent-related across BIT, from research products for the investment team to internal tools in Sales, Marketing, Operations, and client-facing experiences.
 
 
 
 
 
 You work autonomously, from first scoping to shipping, and you self-select the use cases and projects where you can have the most impact. You report to our Carlos Bielsa (Chief AI Officer &amp; Managing Partner) and work side by side with Vlad Gheorghe, our second AI Engineer, acting as our internal expert as the frontier of AI moves. Our stack is Python, SQL, AWS, and Databricks, with models and agentic frameworks from the leading AI labs (Anthropic Managed Agents, Codex).
 
 
 
 
 
 Your priorities in this role will thus include:
 
 <ul>
 <li>
 
 Investment signal pipelines.
 
 Design and ship LLM-based extraction pipelines (prompts, retrieval, model selection, evaluations) that turn text and data into investment scores, alerts, signals, and insights reliable enough to drive decisions.
 </li>
 <li>
 
 Agentic systems behind &ldquo;Aion&rdquo;.
 
 Build and evolve the agentic systems that power Aion, along with the research skills and Python sidecars that agents execute.
 </li>
 <li>
 
 Data and tool integrations.
 
 Build the integrations that give agents performant, safe access to BIT's data and capabilities.
 </li>
 <li>
 
 Evaluations and model selection.
 
 Build automated and human-in-the-loop evaluations, regression tests, and monitoring that track accuracy, hallucination rates, latency, cost, and model uncertainty. Benchmark and select the right model per task, including open-source options.
 </li>
 <li>
 
 LLMOps at scale.
 
 Establish the LLMOps practices that keep these systems reliable at scale: versioning of prompts, configs, and models; CI/CD; error handling; fallbacks; and cost control.
 </li>
 <li>
 
 Frontier into production.
 
 Stay at the frontier of LLM and agentic AI techniques and bring new ideas into production rather than leaving them as experiments.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 The experience you bring
 
 
 <ul>
 <li>
 You have a solid data science and engineering background, with at least 2 years building software, data systems, or ML in production.
 </li>
 <li>
 You adopt the mindset of a product-minded software engineer. You have shipped your own apps and agents and can point us to a public project, repo, or product.
 </li>
 <li>
 You are fluent with the current LLM and agentic frontier, with hands-on experience using leading agentic systems (Claude Code, Anthropic Managed Agents, Codex, open-source agentic loops).
 </li>
 <li>
 You have strong Python and SQL skills with clean engineering practices, plus cloud infrastructure experience (AWS strongly preferred).
 </li>
 <li>
 You bring production discipline for probabilistic systems: evaluations, regression tests, monitoring, reproducibility, and cost awareness. A scientific approach to turning LLMs into signals and scores (ground-truth datasets, train/test/iterate) is a plus; a data science or ML background helps but is not required.
 </li>
 <li>
 You have a genuine interest in investing, or at minimum a strong drive to learn about our domain quickly and deeply, paired with sharp general intelligence and clear systems thinking.
 </li>
 </ul>
 
 
 
 
 
 2 reasons why you should not apply
 
 
 <ul>
 <li>
 You mainly use AI tools for your own productivity and have not yet taken systems into production. This role is about building and shipping AI that the whole firm relies on, so prior production experience matters here.
 </li>
 <li>
 You are looking for a finished, stable AI stack to operate and maintain. Our systems evolve quickly as the frontier moves, so you will spend much of your time building and reshaping them rather than keeping a fixed setup running.
 </li>
 </ul>
 
 
 
 
 
 Your mindset
 
 
 <ul>
 <li>
 You're an "AI Native": you use agentic AI as core infrastructure in how you work, not as a novelty.
 </li>
 <li>
 You're a "Builder": you ship working systems and improve them continuously rather than leaving ideas as experiments.
 </li>
 <li>
 You blend data science rigor with engineering pragmatism, with care for correctness, reliability, and cost.
 </li>
 <li>
 You're passionate about AI, emerging technology, and investing, and you pair technical depth with strong product judgment.
 </li>
 <li>
 You manage for outcomes, own problems end-to-end, and communicate clearly on progress, tradeoffs, and risk.
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <ul>
 <li>
 Work at the frontier of applied AI in asset management, with petabytes of data and the most cutting-edge tools.
 </li>
 <li>
 Real technical direction and ownership from day one, as the internal expert while the frontier moves.
 </li>
 <li>
 Contribute to a unique success story in European asset management, surrounded by the most knowledgeable experts in the industry.
 </li>
 <li>
 A motivated, highly international team (15 nationalities) that enjoys getting together in person in Berlin and strongly supports each other.
 </li>
 <li>
 Flat hierarchies and direct interaction with our management team.
 </li>
 <li>
 Competitive compensation, relocation, and visa support if needed.
 </li>
 </ul>
 
 
 
</div>

AI Engineer (m/f/d)

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, Global SOC (all genders) to join the Security Engineering domain on our journey to always deliver amazing experiences. 
As a Staff Security Engineer within our Global SOC, you will be the technical anchor for our Security Monitoring and Threat Detection capabilities across a high-transaction food delivery and quick-commerce platform handling millions of daily orders. As a business spanning logistics, e-commerce, and FinTech, our environment is highly regulated, in this role you will build and govern the systems that ensure rapid, high-fidelity threat detection in compliance with global frameworks. 
You will operate at the intersection of a hands-on technical practitioner and a strategic engineering leader. We are looking for someone with a strong 'builder mindset' who views threat detection as a software engineering discipline. Instead of staring at dashboards, you will architect and define our log pipelines, SIEM &amp; SOAR infrastructure, and implement Detection Engineering methodologies as code. You will develop threat detection use cases, integrate Cyber Threat Intelligence, and build the automated triage workflows that seamlessly escalate validated, high-severity incidents to our CSIRT team for final containment. Ultimately, you will provide a robust, scalable detection platform globally.
Your mission:<ul><li>
Detection &amp; Platform Architecture: Architect, implement, strengthen and scale the Security Log Management (on AWS), SIEM and SOAR (Google SecOps) infrastructure. You will own the log ingestion pipelines, ensuring high availability, performance, and optimal retention based on business requirements.</li><li>
Engineering-Led Detection &amp; Automation: Architect, build, and maintain log ingestion pipelines, detection rules (e.g., YARA-L), API integrations, and SOAR workflows &amp; Plugins. You will lead the charge in treating &quot;Detection as Code&quot;, ensuring all alerts and automated enrichments are version-controlled, tested, and deployed through CI/CD pipelines.</li><li>
Cyber Threat Intelligence: Establish and integrate CTI capabilities to drive an intelligence-led detection strategy. You will map detections to the MITRE ATT&amp;CK framework and proactively hunt for threats specific to Delivery Hero and its entities.</li><li>
Triage &amp; Escalation Engineering: Design high-fidelity alert workflows. For all security events, you will ensure our automated systems gather, enrich, and seamlessly conduct the right response and containment workflow.</li><li>
Stakeholder Communication: Serve as the primary interface between the Global SOC and Engineering teams, CISOs, and the CSIRT team, translating complex detection &amp; response architectures, log ingestion pipeline requirements into clear technical and business terms.</li><li>
Mentorship &amp; Leadership: Act as a hands-on technical leader and role model, actively mentoring detection engineers and regional security teams to raise the overall technical bar and promote a collective security mindset.</li><li>
Metrics &amp; Strategic Visibility: Maintain a Data-Driven Strategic mindset to define, track, and improve core operational metrics (Log Pipeline Health, Alert Fidelity, True Positive Rates, MTTD) to identify systemic gaps and propose strategic security investments.</li><li>
On-Call: Participate in an on-call rotation focused on maintaining critical SIEM/SOAR infrastructure health, handling high-severity alert triage, and executing emergency escalations to CSIRT.</li></ul> 
Qualifications 
What you need to be successful:<ul><li>
7+ years of broad cybersecurity experience with a deep understanding of core security fundamentals, coupled with 5+ years of dedicated experience in a SOC or Threat Detection Engineering environment.</li><li>
Security Tool Mastery: Deep operational and architectural expertise with modern SIEM &amp; SOAR platforms (specifically Google SecOps / Chronicle), EDR and Cloud infrastructure (AWS/GCP),</li><li>
Engineering Skills: Proven experience utilizing Git/GitHub, CI/CD pipelines, to deploy rules, manage infrastructure and automation as code.</li><li>
CTI &amp; Triage Workflows: Strong background in operationalizing Cyber Threat Intelligence and building scalable alert triage processes that reduce false positives and prevent alert fatigue.</li><li>
Strategic Leadership: An exceptional communicator with the ability to influence cross-functional stakeholders (Regional Security Teams, Platform Engineering) and simplify complex systems across domains without requiring formal authority.</li><li>
Advanced Threat Detection (Cloud, Identity &amp; EDR): Proven deep operational experience triaging alerts and building high fidelity detections across public cloud environments (AWS/GCP), modern Identity Providers (e.g., Okta, Entra ID, Google Workspace), and EDR platforms (e.g., CrowdStrike, SentinelOne, Defender).</li><li>
AI &amp; Next-Gen Tooling: Experience integrating AI/LLM capabilities and MCP (Model Context Protocol) usage into Threat Detection and SOAR for automated alert triage, payload analysis, or data enrichment (highly regarded skill).</li></ul>
Nice to have:<ul><li>
Advanced Cyber Threat Intelligence: Experience building threat intel programs, managing intelligence platforms (e.g., MISP), and translating raw IOCs/TTPs into high-fidelity detection logic.</li><li>
Regulated Environment Expertise: Deep operational understanding of global cybersecurity and privacy frameworks (e.g., PCI-DSS, GDPR, NIS2, DORA, MAS TRM). You know how to implement logging, retention, and audit capabilities that meet strict regulatory compliance requirements.</li><li>
Relevant Technical Certifications: Active or in-progress industry-recognized technical certifications focused on security engineering, cloud architecture, or threat detection (e.g., AWS Certified Security/Solutions Architect, GCIA/GCDA/GMON, 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, 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><li>
Wondering what relocating to Berlin is like? In this article, we&rsquo;ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.</li><li>
Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.</li></ul>
Ready to join our team? If you&rsquo;re excited to grow, collaborate and be part of the world&rsquo;s leading delivery platform, we&rsquo;d love to hear from you. Apply today! 
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.
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></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, GSOC

Raisin

<div>
 Raisin is the world&rsquo;s leading platform for savings and investment products. Founded in 2012, the
 
 FinTech
 
 connects consumers with banks in the EU, the UK and the US. This gives consumers
 
 better interest rates
 
 and banks a
 
 diversified form of refinancing
 
 . Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
 
 
 Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from
 
 more than one million investors
 
 which have accrued over 5 billion euros in returns.
 
 
 
 Team
 
 
 
 The AI Enablement team supports the adoption of AI capabilities across Raisin&rsquo;s products and internal systems.
 
 
 The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.
 
 
 The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.
 
 
 
 Your Responsibilities
 
 
 
 As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.
 
 
 
 Enable teams to adopt AI effectively
 
 
 
 <ul>
 <li>
 Work with product and engineering teams to identify and refine AI use cases
 </li>
 <li>
 Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches
 </li>
 <li>
 Promote consistent and reusable solutions to reduce fragmentation across teams
 
 
 </li>
 </ul>
 
 Contribute To Shared Capabilities Where Needed
 
 
 
 <ul>
 <li>
 Develop or extend shared components, integrations, or services when required to unblock teams
 </li>
 <li>
 Define and implement patterns for integrating LLM capabilities into the platform
 </li>
 <li>
 Contribute to shared components or lightweight services that simplify access to AI capabilities across teams
 </li>
 <li>
 Manage AI costs and budget usage when providing shared model access and services to other teams.
 </li>
 <li>
 Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases
 
 
 </li>
 </ul>
 
 Guide technical decisions
 
 
 
 <ul>
 <li>
 Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability
 </li>
 <li>
 Help teams choose appropriate solutions based on context rather than applying AI by default
 </li>
 <li>
 Contribute to establishing a pragmatic and consistent approach to AI usage
 
 
 </li>
 </ul>
 
 Ensure robustness and responsible usage
 
 
 
 <ul>
 <li>
 Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization
 </li>
 <li>
 Support the implementation of safeguards such as access controls, validation, and monitoring
 </li>
 <li>
 Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage
 </li>
 <li>
 Contribute to practices that ensure solutions are reliable and aligned with internal standards
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 
 Background
 
 
 
 <ul>
 <li>
 Strong experience as a Software Engineer (5+ years), with focus on backend or platform development
 </li>
 <li>
 Strong generalist mindset, comfortable working across technical domains
 </li>
 <li>
 Experience working on production systems and collaborating across teams
 </li>
 <li>
 Comfortable operating in environments with evolving scope and priorities
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in at least one programming language (Python preferred; JVM languages also relevant)
 </li>
 <li>
 Experience with cloud environments (AWS preferred)
 </li>
 <li>
 Solid understanding of APIs, system integration, and distributed systems
 
 
 </li>
 </ul>
 
 AI Experience
 
 
 
 <ul>
 <li>
 Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies)
 </li>
 <li>
 Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows
 </li>
 <li>
 Ability to assess where AI adds value and where it does not
 
 
 </li>
 </ul>
 
 Join our mission, join our team &ndash; and grow with us!
 
 
 
 At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
 
 
 As part of our team, you will benefit from:
 
 
 <ul>
 <li>
 Employee Development Budget of &euro;2,000 and four full training days per year.
 </li>
 <li>
 Flexible working hours, home office and 30 vacation days.
 </li>
 <li>
 A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
 </li>
 <li>
 Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than &euro;20 per month.
 </li>
 <li>
 Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with &euro;25 per month.
 </li>
 <li>
 Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
 </li>
 <li>
 Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
 </li>
 <li>
 You are moving from another country or city to join us? We may support your relocation.
 
 
 </li>
 </ul>
 
 Raisin Applicant Privacy Policy
 
 
 
 We value diversity and the unique experiences each individual brings. If you&rsquo;re excited about this role but don&rsquo;t meet every requirement, we still encourage you to apply.
 
 
 We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
</div>

<div><div>Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.

Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns.</div><h2 class="jobSectionHeader">
Team</h2>

The AI Enablement team supports the adoption of AI capabilities across Raisin's products and internal systems.

The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.

The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.<h2 class="jobSectionHeader"> 

Your Responsibilities</h2>

As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.
<h4 class="jobSectionHeader">
Enable teams to adopt AI effectively</h4>
Work with product and engineering teams to identify and refine AI use cases 
<ul><li>
</li>
Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches 
<li>
</li>
<li>Promote consistent and reusable solutions to reduce fragmentation across teams</li>
</ul><h4 class="jobSectionHeader">Contribute to shared capabilities where needed</h4>
Develop or extend shared components, integrations, or services when required to unblock teams 
<ul><li>
</li>
Define and implement patterns for integrating LLM capabilities into the platform 
<li>
</li>
Contribute to shared components or lightweight services that simplify access to AI capabilities across teams 
<li>
</li>
Manage AI costs and budget usage when providing shared model access and services to other teams. 
<li>
</li>
<li>Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases</li>
</ul><h4 class="jobSectionHeader">Guide technical decisions</h4>
Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability 
<ul><li>
</li>
Help teams choose appropriate solutions based on context rather than applying AI by default 
<li>
</li>
<li>Contribute to establishing a pragmatic and consistent approach to AI usage</li>
</ul><h4 class="jobSectionHeader">Ensure robustness and responsible usage</h4>
Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization 
<ul><li>
</li>
Support the implementation of safeguards such as access controls, validation, and monitoring 
<li>
</li>
Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage 
<li>
</li>
<li>Contribute to practices that ensure solutions are reliable and aligned with internal standards</li></ul> 

<h2 class="jobSectionHeader">
Your Profile</h2>
<h4 class="jobSectionHeader">Background</h4>
Strong experience as a Software Engineer (5+ years), with focus on backend or platform development 
<ul><li>
</li>
Strong generalist mindset, comfortable working across technical domains 
<li>
</li>
Experience working on production systems and collaborating across teams 
<li>
</li>
<li>Comfortable operating in environments with evolving scope and priorities</li>
</ul><h4 class="jobSectionHeader">Technical Skills</h4>
Proficiency in at least one programming language (Python preferred; JVM languages also relevant) 
<ul><li>
</li>
Experience with cloud environments (AWS preferred) 
<li>
</li>
<li>Solid understanding of APIs, system integration, and distributed systems</li>
</ul><h4 class="jobSectionHeader">AI Experience</h4>
Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies) 
<ul><li>
</li>
Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows 
<li>
</li>
<li>Ability to assess where AI adds value and where it does not</li></ul> 


Join our mission, join our team &ndash; and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:
<ul>
<li>Employee Development Budget of &euro;2,000 and four full training days per year.</li>
<li>Flexible working hours, home office and 30 vacation days.</li>
<li>A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.</li>
<li>Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than &euro;20 per month.</li>
<li>Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with &euro;25 per month.</li>
<li>Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.</li>
<li>Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.</li>
<li>You are moving from another country or city to join us? We may support your relocation.</li>
</ul><div>
Raisin Applicant Privacy Policy

We value diversity and the unique experiences each individual brings. If you're excited about this role but don't meet every requirement, we still encourage you to apply.

We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.</div></div>

SmartBroker

<div><h4 class="jobSectionHeader">Your mission</h4>
For our significantly growing Data, AI &amp; MarketingTech Department, we are looking for several AI Engineers. Our new data team is established to focus on GenAI use case development for client facing product features as well as for increasing efficiencies of internal processes among other data related topics. 
As AI Engineer you are playing a pivotal role in Smartbroker&rsquo;s data &amp; AI journey. You will work at the core of GenAI implementation at the intersection of business, data, and technology, drive innovation and data &amp; AI adoption throughout the organization. Our GenAI use cases are focused on generating significant business value through the usage of most modern AI technologies. 
 
Job Description 
<ul><li>
Design and develop AI use cases for internal processes or client facing product features using up to date GenAI technologies based on LLMs &amp; RAG</li><li>
Develop and maintain the technical AI and machine learning infrastructure for deploying AI-enabled solutions in the cloud</li><li>
Build AI and data features in close collaboration with product engineering teams</li><li>
Implement end-to-end efficient data and AI pipelines according to our data consumers&lsquo; needs up to consumable data &amp; AI products</li><li>
Own the technical implementation and components of your team as well as their operation and maintenance</li><li>
Act as a consultant for other technical teams with regards to usage of GenAI models, tools, and agents</li></ul><h4 class="jobSectionHeader">
Your profile</h4><ul><li>
University degree in a technical field: computer science, business informatics, natural sciences, or similar</li><li>
Expert knowledge on state-of-the-art AI use cases, agentic applications and best practices</li><li>
Expert knowledge in machine learning, generative AI, LLMs &amp; RAG, AI agents and related technical tools (OpenAI, LangChain , Langfuse &hellip;)</li><li>
Very good python &amp; SQL programming skills, Java is a plus</li><li>
Deep technical knowledge of modern cloud based AI platforms (GCP/AWS)</li><li>
Deep knowledge of software engineering best practices&mdash;from requirements specification, version control, CI/CD, and testing to deployment and monitoring of data pipelines and services</li><li>
Familiarity with data &amp; AI security, data regulations, data privacy requirements</li><li>
Proactive, solution-oriented mindset, strong sense of ownership</li><li>
Strong English communication and presentation skills, German is a plus</li><li>
Interest in finance and fintech industry and a sense of humor</li></ul><h4 class="jobSectionHeader">
About us</h4>
Among other things, the Smartbroker Group operates Smartbroker+ - a multi-award-winning online broker that is the only provider in Germany to combine the extensive product range of traditional brokers with the extremely favourable conditions of neobrokers. The portfolio also includes the digital fund broker SMARTBROKER Finance (formerly: FondsDISCOUNT.de), while the Group also operates four high-reach stock market portals (wallstreet-online.de, boersenNews.de, FinanzNachrichten.de and ARIVA.de). With several hundred million monthly page impressions, the Group is the largest independent financial portal operator in the German-speaking world and also maintains the largest financial community. 
The company is one of the pioneers of digital investment. For more than 25 years, we have been committed to breaking down the barriers to investing and enabling user-friendly and cost-effective investment processing. 
 
Our employees are the key to this success. Due to our strong growth momentum, we have created numerous attractive jobs in recent years. Every day, we strive to build the best team and give our employees the space to develop themselves in the best possible way. A diverse team of top performers ensures that we all learn something new every day. From a small team of around 20 people, we have now grown into a company with around 260 employees (as of 31 December 2023), based in a modern office in Berlin-Kreuzberg. 
 
We see ourselves as an innovative fintech that is embedded in a successful group of companies and thus combines a personal working atmosphere with the advantages of a financially strong public limited company. We rely on flat hierarchies, individual development and agile processes in all parts of the company. We are proud of the personal cohesion within the team and the above-average length of service of many employees. We are committed to diversity and equal opportunities. We strive to build a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work and our team will be. 
 
If you want to be part of this fast-growing organisation, apply now to join the Smartbroker Group. 
 
We encourage women, non-binary and transgender people as well as all members of the LGBTQI+ community, people from marginalised ethnic backgrounds and people with visible or non-visible disabilities to apply if they are looking for an inclusive, diverse and safe working environment.</div>

wolt

<div><div><h2 class="jobSectionHeader">About Wolt</h2>

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. 
 
Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.</div>
Analytics at Wolt is a business-critical area that covers three different teams &mdash; data science, regional business operations, and analytics engineering. The complexity of online delivery, differences in the economics and dynamics of the cities we operate in, and vast amounts of data make our work truly interesting!

Now we are looking for an experienced Senior Analytics Engineer to join our Merchant Analytics Engineering team. You can work in Berlin, Helsinki, or Stockholm.
<h2 class="jobSectionHeader">
About the role</h2>

The role is focused on the business needs - you'll be working within a cross-functional team, making sure your teammates get the insights needed for their operations. The role requires interpreting the needs and requests of our internal stakeholders from business and product, and transforming them into actionable data. Data scientists working in the domain will be your closest partners in your day-to-day work, as your solutions will enable them to create relevant experiments, a/b tests, and analyses.
<h3 class="jobSectionHeader">
Your daily work will include</h3>
<ul><li>Developing reporting and metrics quality as a whole, from understanding the needs of the business to providing easily understandable and actionable data.</li>
<li>Working on our centrally maintained data integrations and data pipelines powering our Data Warehouse, our data models, and dashboards. You'll get to utilize our modern tech stack as part of your work (Snowflake, SQL, Looker, Wolt Inhouse ETL, Airflow, Dagster, Github).</li>
<li>Design and implement complex data pipelines with dependency control, orchestration and auto-materialisation logic.</li>
<li>Develop a self-service data modelling strategy and partner with Analytics and other stakeholders for implementation.</li>
<li>Increase data literacy across the domain and expertise through hands-on training and documentation.</li>
<li>Lead, mentor, and guide more junior team members.</li>
</ul><h2 class="jobSectionHeader">Our humble expectations</h2>
<ul><li>5+ years of experience working as an Analytics Engineer or BI Developer.</li>
<li>Strong hands-on experience with data integrations, data pipelines, data models, metric development, and dashboards.</li>
<li>Tech skills: Snowflake, SQL, Airflow, DBT, Looker, or other visualization tools like Tableau, Power BI, etc.</li>
<li>Advanced SQL skills and ability to write optimized queries for large data sets.</li>
<li>Strong business acumen and product-oriented thinking with significant experience in the design and implementation of analytics and reporting data models.</li>
</ul><h2 class="jobSectionHeader">What we offer</h2>
<ul><li>The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics.</li>
You can choose the location from our tech hubs in Berlin, Helsinki, and Stockholm. You have the chance to decide the ways of working &mdash; a hybrid, at the office, or remote within the location above.
<li>You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement.</li>
</ul><h2 class="jobSectionHeader">Next steps</h2>

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com
<div><h2 class="jobSectionHeader">
Our Commitment to Diversity and Inclusion</h2>

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.</div></div>

Senior Analytics Engineer, Merchant

REPLY

<div><div>Aufgaben<div><ul><li>
Als Teil unseres innovativen und internationalen Teams &uuml;bernimmst du Verantwortung bei der Realisierung innovativer AI- und GenAI-Anwendungen in unterschiedlichsten Branchen</li><li>
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