senior data engineer

data engineer

data scientist

ai engineer

analytics engineer

data architect

REPLY

<div><div><p>Aufgaben</p><div><p><b>
Als Consultant Data Engineer (m/w/d) gestaltest du die datengetriebene Zukunft unserer Kunden aktiv mit.</b><br>
Du entwickelst moderne Datenl&ouml;sungen und innovative Datenprodukte, die Unternehmen dabei unterst&uuml;tzen, fundierte und nachhaltige Entscheidungen zu treffen. Dabei &uuml;bernimmst du unter anderem folgende Aufgaben:</p><ul><li>
Du konzipierst und implementierst leistungsstarke, skalierbare Datenarchitekturen und -produkte und bringst diese erfolgreich in den Einsatz.</li><li>
Du entwickelst und optimierst Datenpipelines f&uuml;r die Integration und Transformation unterschiedlichster Datenquellen &ndash; unter Einsatz moderner Technologien wie SQL, Python, dbt, Snowflake, Databricks sowie f&uuml;hrender Cloud-Plattformen (AWS, Azure, Google Cloud).</li><li>
Du arbeitest eng mit unseren Kunden zusammen, analysierst fachliche und technische Anforderungen und &uuml;bersetzt diese in ma&szlig;geschneiderte Data-Engineering-L&ouml;sungen mit echtem Mehrwert.</li><li>
In einem interdisziplin&auml;ren Team bringst du deine Ideen ein, gestaltest innovative L&ouml;sungen und tr&auml;gst aktiv zu einer offenen, kollaborativen Unternehmenskultur bei.</li></ul><p><b>
Bei uns hast du die M&ouml;glichkeit, Verantwortung zu &uuml;bernehmen, deine Expertise weiterzuentwickeln und echten Impact zu schaffen.</b></p></div></div><div><p>
Benefits</p><ul><div><div><div>
10 TAGE ZUR WEITERBILDUNG</div></div></div><div><div><div>
GUTE WORK-LIFE-BALANCE</div></div></div><div><div><div>
EGYM WELLPASS</div></div></div><div><div><div>
INNOVATIVES ARBEITSUMFELD</div></div></div></ul><div><ul><li><b>
Buddy-Programm:</b> Dein Buddy unterst&uuml;tzt dich beim Onboarding und hilft dir, dich schnell im Team und in unserer Unternehmenskultur zurechtzufinden</li><li><b>
Hybrides Arbeiten:</b> Eine individuell abgestimmte Mischung aus Remote Work, B&uuml;ropr&auml;senz und Eins&auml;tzen beim Kunden</li><li><b>
Innovation &amp; Vielfalt:</b> Bundesweite, branchen&uuml;bergreifende Projekte mit klarem Fokus auf Data &amp; AI</li><li><b>
Modernes Setup:</b> Hochwertige Hardware nach Wahl sowie ein internationales, teamorientiertes Arbeitsumfeld mit flachen Hierarchien und starkem Teamzusammenhalt</li></ul></div></div><div><p>
Qualifikationen</p><div><ul><li><b>
Abgeschlossenes Studium</b> z. B. in (Wirtschafts-)Informatik, Data Science oder einem vergleichbaren Studiengang</li><li>
Du hast ein grunds&auml;tzliches Verst&auml;ndnis und Interesse f&uuml;r die Themen <b>Data Products</b> und <b>Datenmodellierung</b></li><li>
Erste Projekterfahrungen in <b>Data Products, Datenmodellierung</b> und/oder <b>Data Warehousing </b>Systemen</li><li>
Erfahrungen mit mindestens eine Programmiersprache <b>(Bestenfalls Python), SQL/NoSQL</b> sowie <b>einer Data-Engineering Technologie / Plattform (dbt, Snowflake, Databricks, etc.)</b></li><li>
Zum Vorteil ist, wenn du Erfahrungen mit <b>Docker, Cloud-Technologien, DevOps-Praktiken</b> und <b>CI/CD-Prozessen</b> hast</li><li>
Du bist ein <b>kommunikativ starker Teamplayer</b>, der in L&ouml;sungen denkt und diese <b>aktiv als Berater</b> anbietet</li><li><b>
Neue Technologien</b> zu lernen ist f&uuml;r dich nicht nur Mittel zum Zweck sondern eine Leidenschaft</li><li>
Sehr gute <b>Deutsch- und Englischkenntnisse</b> runden dein Profil ab</li></ul></div></div><div><p>
Develop yourself and the digital future &ndash; at Reply!</p><div><p>
Reply ist spezialisiert auf die Konzeption und Implementierung von L&ouml;sungen, die auf neuen Kommunikationskan&auml;len und digitalen Medien basieren. Mit einem Netzwerk hoch spezialisierter Unternehmen definiert und entwickelt Reply Gesch&auml;ftsmodelle, die durch KI, Big Data, Cloud Computing, digitale Medien und dem Internet der Dinge erm&ouml;glicht werden. Reply bietet Beratung, Systemintegration und Digital Services f&uuml;r Unternehmen aus den Bereichen Telekommunikation und Medien, Industrie und Dienstleistungen, Banken und Versicherungen sowie &ouml;ffentliche Verwaltung.</p></div></div></div>

CONSULTANT - DATA ENGINEERING (DATA PRODUCTS) (M/W/D)

<div><div><p>Aufgaben</p><div><p>
Als <b>Senior Consultant Data Engineer (m/w/d)</b> unterst&uuml;tzt du unser Team dabei, <b>moderne Datenl&ouml;sungen</b> und <b>Datenprodukte</b> zu entwickeln sowie die Datennutzung unserer Kunden zu optimieren. Dabei entwirfst du skalierbare und effiziente <b>Datenarchitekturen</b>, integrierst neue <b>Datenverwaltungstechnologien</b> sowie Software-Engineering-Tools in bestehende Systeme und &uuml;bernimmst Verantwortung f&uuml;r komplexe Datenprojekte, um datengetriebene Entscheidungen nachhaltig zu st&auml;rken.</p><ul><li>
Unterst&uuml;tzung bei der <b>Konzeption</b> und <b>Implementierung</b> robuster und skalierbarer <b>Datenprodukte, - architekturen</b> und -<b>pipelines</b></li><li><b>
Entwicklung und Wartung</b> von Pipelines zur <b>Datenumwandung und -integration inkl. ETL Prozessen</b> aus unterschiedlichen Quellen mit z. B. <b>SQL, Python, dbt, Snowflake, Databricks sowie Cloud-Plattformen wie AWS, Azure oder Google Cloud</b></li><li><b>
Erfassen von Gesch&auml;ftsanforderungen</b> und technischen Anforderungen unserer Kunden sowie deren Umsetzung in effektive <b>Data Engineering</b>-L&ouml;sungen</li><li><b>
Begleitung und fachliches Mentoring</b> von Junior Consultants sowive F&ouml;rderung von kontinuierlichem Lernen im Team</li><li>
Als Teil eines interdisziplin&auml;ren Teams gestaltest du nicht nur technische L&ouml;sungen, sondern auch die <b>Unternehmenskultur</b> aktiv mit &ndash; durch <b>deine Beratungskompetenz, dein Engagement</b> und deine <b>Innovationsfreude</b></li></ul></div></div><div><p>
Benefits</p><ul><div><div><div>
10 TAGE ZUR WEITERBILDUNG</div></div></div><div><div><div>
GUTE WORK-LIFE-BALANCE</div></div></div><div><div><div>
EGYM WELLPASS</div></div></div><div><div><div>
INNOVATIVES ARBEITSUMFELD</div></div></div></ul><div><ul><li><b>
Buddy-Programm:</b> Dein Buddy unterst&uuml;tzt dich beim Onboarding und hilft dir, dich schnell im Team und in unserer Unternehmenskultur zurechtzufinden</li><li><b>
Hybrides Arbeiten:</b> Eine individuell abgestimmte Mischung aus Remote Work, B&uuml;ropr&auml;senz und Eins&auml;tzen beim Kunden</li><li><b>
Innovation &amp; Vielfalt:</b> Bundesweite, branchen&uuml;bergreifende Projekte mit klarem Fokus auf Data &amp; AI</li><li><b>
Modernes Setup:</b> Hochwertige Hardware nach Wahl sowie ein internationales, teamorientiertes Arbeitsumfeld mit flachen Hierarchien und starkem Teamzusammenhalt</li></ul></div></div><div><p>
Qualifikationen</p><div><ul><li><b>
Abgeschlossenes Studium </b>z. B. in (Wirtschafts-)Informatik, Data Science oder einem vergleichbaren Studiengang</li><li>
Du hast ein Verst&auml;ndnis f&uuml;r <b>Data Products, Datenmodellierung</b> und unterschiedliche Data Warehousing Systeme aus vergangenen Projekten</li><li>
Du hast die F&auml;higkeit, <b>komplexe Datenstrukturen</b> zu analysieren und daraus Erkenntnisse abzuleiten, um strategische <b>Leitlinien</b> zu entwickeln</li><li>
Zum Vorteil ist, wenn du Erfahrungen mit <b>Docker, Cloud-Technologien, Dimensional &amp; Data Vault Modelling</b> sowie mit <b>DevOps-Praktiken</b> und <b>CI/CD-Prozessen</b> hast</li><li>
In vergangenen Projekten bist du bereits mit mindestens einer der <b>Programmiersprachen (Bestenfalls Python) und SQL/NoSQL etc.</b> in Kontakt gekommen</li><li>
Mit deiner <b>offenen</b> Art und klaren <b>Kommunikation</b> gelingt dir die Zusammenarbeit im Team ebenso wie der professionelle Austausch mit unseren Kunden</li><li>
Komplexe Herausforderungen gehst du strukturiert an und entwickelst dabei <b>effiziente</b> sowie kreative <b>L&ouml;sungsans&auml;tze</b></li><li>
In unseren Teams kommunizierst du <b>gut auf Deutsch</b> und <b>flie&szlig;end auf Englisch</b></li></ul></div></div><div><p>
Develop yourself and the digital future &ndash; at Reply!</p><div><p>
Reply ist spezialisiert auf die Konzeption und Implementierung von L&ouml;sungen, die auf neuen Kommunikationskan&auml;len und digitalen Medien basieren. Mit einem Netzwerk hoch spezialisierter Unternehmen definiert und entwickelt Reply Gesch&auml;ftsmodelle, die durch KI, Big Data, Cloud Computing, digitale Medien und dem Internet der Dinge erm&ouml;glicht werden. Reply bietet Beratung, Systemintegration und Digital Services f&uuml;r Unternehmen aus den Bereichen Telekommunikation und Medien, Industrie und Dienstleistungen, Banken und Versicherungen sowie &ouml;ffentliche Verwaltung.</p></div></div></div>

SENIOR CONSULTANT - DATA ENGINEERING (M/W/D)

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)

Delivery Hero

<div><b>Company Description</b><p><br>
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.</p><b><br>
Job Description</b><p><br>
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.<br>
</p><p>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.</p><p></p><p><br>
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.</p><p><b>
Your mission:</b></p><ul><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li></ul><b><br>
Qualifications</b><p><b><br>
What you need to be successful:</b></p><ul><li><p>
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.</p></li><li><p>
Security Tool Mastery: Deep operational and architectural expertise with modern SIEM &amp; SOAR platforms (specifically Google SecOps / Chronicle), EDR and Cloud infrastructure (AWS/GCP),</p></li><li><p>
Engineering Skills: Proven experience utilizing Git/GitHub, CI/CD pipelines, to deploy rules, manage infrastructure and automation as code.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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).</p></li><li><p>
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).</p></li></ul><p><b>
Nice to have:</b></p><ul><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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).</p></li></ul><b><br>
Additional Information</b><p><br>
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.</p><ul><li><p><i>
Make the most of our </i>hybrid working model <i>and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week</i></p></li><li><p><i>
We offer 27 days holiday with an extra day on 2nd and 3rd year of service</i></p></li><li><p><i>
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.</i></p></li><li><p><i>
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym &amp; Bicycle Subsidy</i></p></li><li><p><i>
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</i></p></li><li><p><i>
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.</i></p></li><li><p><i>
Wondering what relocating to Berlin is like? In this article, we&rsquo;ve put together</i> 10 things you should know about moving to Berlin<i> and how Delivery Hero can support you. You can also visit our </i>relocation hub<i> and check out more information about moving to Berlin.</i></p></li><li><p><i>
Ready to prepare for your interview? Check out the list of the </i>5 most common interview questions and answers <i>created in collaboration with our recruiters.</i></p></li></ul><p>
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!</p><p></p><p><br>
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.<br>
<br>
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.<br>
<br>
Severely disabled applicants with equal qualifications will be given preferential consideration.<br>
<br>
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</p><p>
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.<br>
<br>
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.<br>
<br>
<b>Severely disabled applicants with equal qualifications will be given preferential consideration.</b><br>
<br>
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</p><div></div><p>
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.<br>
<br>
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.<br>
<br>
<b>Severely disabled applicants with equal qualifications will be given preferential consideration.</b><br>
<br>
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</p></div>

Staff Security Engineer, GSOC

Adsquare

<div>
 <br/>
 <p>
  <strong>
   About the Company
  </strong>
 </p>
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  <br/>
 </p>
 <p>
  <br/>
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 <p>
  At Adsquare, our mission is driven by our core focus:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Passion
   </strong>
   &ndash; Solving complex challenges with great people, tech, and data.
  </li>
  <li>
   <strong>
    Niche
   </strong>
   &ndash; Location Intelligence for Programmatic Advertisers.
  </li>
 </ul>
 <p>
  <br/>
 </p>
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  <br/>
 </p>
 <p>
  Our core values are integral to everything we do:
 </p>
 <p>
  <br/>
 </p>
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  <br/>
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 <ul>
  <li>
   <strong>
    Drive
   </strong>
   : We turn ambition into action to deliver valuable outcomes.
  </li>
  <li>
   <strong>
    Resilience
   </strong>
   : We adapt, persevere, and grow stronger.
  </li>
  <li>
   <strong>
    No BS
   </strong>
   : We value honesty, transparency, and clear communication.
  </li>
  <li>
   <strong>
    Humble
   </strong>
   : We choose modesty over vanity and let results speak for themselves.
  </li>
  <li>
   <strong>
    Moral Compass
   </strong>
   : We do the right thing with fairness, integrity, and respect.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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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  <strong>
   Responsibilities
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  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Data Pipeline Ownership
   </strong>
   : 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.
  </li>
  <li>
   <strong>
    Architect Scalable Solutions
   </strong>
   : Design and build robust data architectures required to process and transfer terabytes of data.
  </li>
  <li>
   <strong>
    Pipeline Optimization
   </strong>
   : 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.
  </li>
  <li>
   <strong>
    Engineering Rigor
   </strong>
   : Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code.
  </li>
  <li>
   <strong>
    Data Monitoring
   </strong>
   : Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making.
  </li>
  <li>
   <strong>
    Collaboration &amp; Mentorship
   </strong>
   : 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.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Programming Mastery
   </strong>
   : 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.
  </li>
  <li>
   <strong>
    Big Data &amp; PySpark
   </strong>
   : 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.
  </li>
  <li>
   <strong>
    Advanced Optimization Skills
   </strong>
   : Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles.
  </li>
  <li>
   <strong>
    Database &amp; Storage Architecture
   </strong>
   : 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).
  </li>
  <li>
   <strong>
    Cloud Native (AWS)
   </strong>
   : Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch).
  </li>
  <li>
   <strong>
    Infrastructure &amp; Orchestration
   </strong>
   : Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions.
  </li>
  <li>
   <strong>
    Engineering Fundamentals
   </strong>
   : Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines.
  </li>
  <li>
   <strong>
    AI tools
   </strong>
   : 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.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Compiled Languages
   </strong>
   : Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython).
  </li>
  <li>
   <strong>
    Geospatial Data
   </strong>
   : Experience working with GIS (Geographic Information Systems) and geo-spatial datasets.
  </li>
  <li>
   <strong>
    Data Formats
   </strong>
   : Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance.
  </li>
  <li>
   <strong>
    Streaming Technologies
   </strong>
   : Familiarity with Kafka and Flink.
  </li>
  <li>
   <strong>
    Backend Context
   </strong>
   : Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Pay range and compensation package
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  55,000 - 65,000 euros per year
 </p>
 <p>
  <br/>
 </p>
 <p>
  On top of a competitive package, we offer:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Hybrid work model + remote work from anywhere worldwide up to 3 months/year
  </li>
  <li>
   Individual yearly learning budget of 1,200&euro;
  </li>
  <li>
   30 vacation days per year
  </li>
  <li>
   Urban Sports Club membership
  </li>
  <li>
   Company pension scheme
  </li>
  <li>
   Regular team and company events
  </li>
  <li>
   Latest hardware and all tools you need to thrive
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Equal Opportunity Statement
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are committed to diversity and inclusivity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Apply now!
 </p>
 <p>
  <br/>
 </p>
</div>


Data Engineer (m/f/d)

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

Schwarz Digits KG

<p></p><div><div><div><div><ul><li><div><div><h2 class="jobSectionHeader"><b>Standort</b></h2><div><div>
Karl-Liebknecht-Stra&szlig;e 32<br>
10178 Berlin</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Abteilung / Bereich</b></h2><div><div>
IT - Software Engineering</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Einstiegslevel</b></h2><div><div>
Berufserfahrene</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Arbeitsmodell</b></h2><div><div>
Vollzeit/Teilzeit</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Referenznummer</b></h2><div><div>
2794</div></div></div></div></li></ul></div></div></div>
<div><div><div><p>
Schwarz Digits schafft das technologische Fundament f&uuml;r digitale Entscheidungsfreiheit in Europa. Als IT- und Digitalsparte der Schwarz Gruppe entwickeln und verantworten wir einerseits die IT-Infrastrukturen f&uuml;r die Handelssparten Lidl und Kaufland sowie die Schwarz Produktion und PreZero. Gleichzeitig agieren wir als unabh&auml;ngiger Anbieter am externen Markt, um Unternehmen in ganz Europa bei ihrer digitalen Transformation zu unterst&uuml;tzen. Unsere Kernleistungen b&uuml;ndeln wir in den Bereichen Cloud, Cyber Security, Data &amp; AI, Communication und Workspace. Trage auch du zur digitalen Entscheidungsfreiheit in Europa bei.<br>
<br>
Bei uns arbeitest du an der Schnittstelle zwischen Agilit&auml;t und Sicherheit: Du profitierst von den schnellen Entscheidungswegen, genie&szlig;t echte Gestaltungsspielr&auml;ume in deinen Projekten und baust dabei auf das stabile Fundament der Schwarz Gruppe.</p></div></div></div>
<div><div><h3 class="jobSectionHeader"><b>
Deine Aufgaben</b></h3><div><div><ul><li>
Du entwickelst robuste Daten-Pipelines (Python + SQL) f&uuml;r den Betrieb eines Data Warehouse und tr&auml;gst ma&szlig;geblich zur Definition und dem Aufbau eines passenden Datenmodells bei.</li><li>
Du verantwortest den Betrieb unserer Datenplattform, die vielf&auml;ltigen Nutzerkreisen das Treffen von Entscheidungen erm&ouml;glicht.</li><li>
Du &uuml;bernimmst die technische Leitung eines agilen Engineering Teams, das den gesamten Software-Entwicklungs-Lifecycle abdeckt: von Anforderungen, Architektur und Design &uuml;ber Implementierung und Testing bis hin zu Deployment, Operations und Support.</li><li>
Du verantwortest die Architektur, achtest auf Produktqualit&auml;t und identifizierst und reduzierst aktiv technische Schulden.</li><li>
Du hast Kosten, Zeit und Budget der Entwicklung im Blick und triffst datengetriebene und ganzheitliche Entscheidungen.</li><li>
Du leitest ein Core Engineering Team durch den Entwicklungsprozess, etablierst Standards und sorgst f&uuml;r kontinuierliche Prozessverbesserungen.</li><li>
Du bist der erste Ansprechpartner und Sparringspartner f&uuml;r den Product Owner, begleitest die Anforderungsanalyse und tauschst dich mit Key-Usern aus.</li><li>
Du &uuml;bernimmst Verantwortung f&uuml;r die pers&ouml;nliche und fachliche Weiterentwicklung der Software Engineers in deinem Team.</li></ul></div></div></div><div><h3 class="jobSectionHeader"><b>
Dein Profil</b></h3><div><div><ul><li><b>
Erfahrung</b>: Du hast <b>mindestens 4 Jahre professionelle Erfahrung im Data Engineering oder der Softwareentwicklung</b> (au&szlig;erhalb deines Studiums) und bist bereit f&uuml;r eine technische F&uuml;hrungsrolle (oder bringst bereits erste Erfahrungen mit).</li><li><b>
Tech Stack</b>: Du besitzt tiefgreifende, praxiserprobte Kenntnisse im Aufbau und der Verwaltung eines Data Warehouse und der Softwareentwicklung im Backend (Python, o.&auml;.) wie auch im Frontend (Vue, React o. &auml;.).</li><li><b>
Cloud &amp; Architektur</b>: Cloud-native Technologien (Docker, Kubernetes), analytische Datenbanken (BigQuery, Snowflake) und Data Warehousing sind dein t&auml;gliches Handwerkszeug. Du hast ein starkes architektonisches Verst&auml;ndnis (inkl. Design Patterns wie Strategy Pattern, Clean Code, modulare Architekturen).</li><li><b>
Qualit&auml;t &amp; Operations</b>: Automatisiertes Testing, CI/CD, IT-Sicherheit und Best Practices im Deployment sind f&uuml;r dich nicht verhandelbar. Erfahrung mit hoch skalierbaren, Daten-intensiven Systemen ist ein gro&szlig;es Plus.</li><li><b>
Agiles Mindset &amp; Leadership</b>: Du hast eine hohe Eigeninitiative, arbeitest stark datengetrieben und hast Freude daran, Wissen zu teilen und dein Team auf das n&auml;chste Level zu heben.</li><li><b>
Sprachen</b>: Sehr gute Englischkenntnisse; Deutschkenntnisse sind ein Plus (oder die Bereitschaft, diese auszubauen).</li><li><b>
Ausbildung</b>: Abgeschlossenes IT-Studium oder eine vergleichbare Ausbildung mit fundierter Praxiserfahrung.</li></ul></div></div></div></div>
<div><h2 class="jobSectionHeader"><b>Unsere Benefits</b></h2><p></p><div><div><div><p>
</p></div></div></div></div><p></p><div><h2 class="jobSectionHeader"><b>Dein Ansprechpartner</b></h2><div><div><h3 class="jobSectionHeader"><b>
Lara Schlimgen</b></h3><p>
Recruiterin</p><ul><li>
E-Mail:recruiting@mail.schwarz</li></ul></div></div></div>
<div><h2 class="jobSectionHeader"><b>Dein Bewerbungsprozess im &Uuml;berblick</b></h2><div><div><div><div>
1</div><h3 class="jobSectionHeader"><b>
Bewerbung</b></h3></div><div>
Wir lieben die Einfachheit. Bewirb dich schnell und unkompliziert digital, gerne auch ohne Registrierung.</div></div><div><div><div>
2</div><h3 class="jobSectionHeader"><b>
Checkup</b></h3></div><div>
Gemeinsam mit dem zust&auml;ndigen Fachbereich werfen wir einen Blick in deine Unterlagen.</div></div><div><div><div>
3</div><h3 class="jobSectionHeader"><b>
Kennenlernen</b></h3></div><div>
Bei einem ersten Kennenlernen liegt der Fokus sowohl auf deiner Pers&ouml;nlichkeit als auch auf deiner fachlichen Eignung.</div></div><div><div><div>
4</div><h3 class="jobSectionHeader"><b>
Vertragsangebot</b></h3></div><div>
Haben wir uns gegenseitig &uuml;berzeugt? Dann ist dein Arbeitsvertrag digital per Mail auf dem Weg zu dir.</div></div><div><div><div>
5</div><h3 class="jobSectionHeader"><b>
Willkommen</b></h3></div><div>
Dein erster Arbeitstag bei uns steht an und dein individuelles Onboarding im Team startet. Wir freuen uns auf dich!</div></div></div></div>
<div><div><div><h2 class="jobSectionHeader"><b>Diese Stellen k&ouml;nnten auch interessant sein</b></h2></div><p></p><div><p>
</p><div><div><div><p>BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Initiativbewerbung IT Entwicklung</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>SAP ABAP Developer - EWM (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
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</p><h3 class="jobSectionHeader"><b>SAP ABAP Developer (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
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</p><h3 class="jobSectionHeader"><b>(Senior) AI-Assisted Software Engineer (m/w/d) - Fokus Backend (Go / Kotlin)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
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Engineering Lead - Supply Chain Data Platform (m/w/d)

Explore 34+ Data architect in Berlin this July. Find roles across top companies and apply now to boost your career.