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(senior) data engineer (gn) Jobs in Berlin

(senior) data engineer (gn)

software engineer metadata

Snowflake

<div><div><p>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.</p><p>
Imagine you are part of a team of talented software engineers to shape the future of Snowflake&rsquo;s AI Data Cloud. We&rsquo;re looking for talented and driven software engineers that are passionate about pushing the boundaries of speed and scale. We keep a high bar in engineering as we want to release new versions of Snowflake at fast cadence to all our customers across the globe.</p><p>
If this resonates with you, read on and apply!</p><p>
Our mission is to provide low-latency and highly consistent access to Snowflake&rsquo;s metadata in a secure way. We keep data safe through geo replication and offer immutable snapshots over long periods of time. Most prominently, we build high-scale APIs that power different types of workload from analytics warehouse and Unistore up to AI and container functions. Almost any internal service interfaces with Metadata APIs. Therefore, our services run at a large scale, supporting trillions of requests per day. Additionally, we own the representation of Metadata to users through the means of Infoschema, SHOW commands and Snowflake APIs.</p><p>
Link to article about Metadata team</p><div><p><b>
AS A SOFTWARE ENGINEER - METADATA, YOU WILL:</b></p></div><ul><li><p>
Solve real business needs at large scale by applying your software engineering and analytical problem solving skills.</p></li><li><p>
Design, develop, and support a highly-parallel and fault-tolerant database system including a decentralized caching system of terabytes of metadata.</p></li><li><p>
Design and implement core infrastructure features including APIs, DDL transactions and logs as well as advanced features built on top of the metadata, such as cloning, time travel and snapshots.</p></li><li><p>
Analyze and understand performance and scalability bottlenecks in the system and solve them.</p></li><li><p>
Ensure operational readiness of the services and meet the commitments to our customers regarding availability and performance.</p></li></ul><p>
We are looking for strong system engineers who are interested in solving some of the most challenging problems in distributed systems, performance and scalability, and passionate about building system software with high quality.</p><div></div><div><p><b>
OUR IDEAL SOFTWARE ENGINEER WILL HAVE:</b></p></div><ul><li><p>
2+ years industry experience designing, building and supporting large scale systems in production.</p></li><li><p>
Strong computer science fundamentals including data structures, algorithms, and distributed systems.</p></li><li><p>
Systems programming skills including concurrency, consistency, caching, etc. Fluency in Java (or other similar procedural object-oriented language) is preferred.</p></li><li><p>
Broad experience with identifying and implementing creative solutions to real customer problems.</p></li><li><p>
Knowledge of database internals is a big plus.</p></li><li><p>
BS in Computer Science; Masters or PhD Preferred.</p></li></ul><p>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.</p><p>
How do you want to make your impact?</p><p>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.</p><p>
How do you want to make your impact?</p><p>
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com</p></div></div>

Software Engineer Metadata

<div>
 At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
 <br/>
 <br/>
 Imagine you are part of a team of talented software engineers to shape the future of Snowflake&rsquo;s AI Data Cloud. We&rsquo;re looking for talented and driven software engineers that are passionate about pushing the boundaries of speed and scale. We keep a high bar in engineering as we want to release new versions of Snowflake at fast cadence to all our customers across the globe.
 <br/>
 <br/>
 If this resonates with you, read on and apply!
 <br/>
 <br/>
 Our mission is to provide low-latency and highly consistent access to Snowflake&rsquo;s metadata in a secure way. We keep data safe through geo replication and offer immutable snapshots over long periods of time. Most prominently, we build high-scale APIs that power different types of workload from analytics warehouse and Unistore up to AI and container functions. Almost any internal service interfaces with Metadata APIs. Therefore, our services run at a large scale, supporting trillions of requests per day. Additionally, we own the representation of Metadata to users through the means of Infoschema, SHOW commands and Snowflake APIs.
 <br/>
 <br/>
 Link to article about Metadata team
 <br/>
 <br/>
 <strong>
  AS A SOFTWARE ENGINEER - METADATA, YOU WILL:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Solve real business needs at large scale by applying your software engineering and analytical problem solving skills.
  </li>
  <li>
   Design, develop, and support a highly-parallel and fault-tolerant database system including a decentralized caching system of terabytes of metadata.
  </li>
  <li>
   Design and implement core infrastructure features including APIs, DDL transactions and logs as well as advanced features built on top of the metadata, such as cloning, time travel and snapshots.
  </li>
  <li>
   Analyze and understand performance and scalability bottlenecks in the system and solve them.
  </li>
  <li>
   Ensure operational readiness of the services and meet the commitments to our customers regarding availability and performance.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We are looking for strong system engineers who are interested in solving some of the most challenging problems in distributed systems, performance and scalability, and passionate about building system software with high quality.
 <br/>
 <br/>
 <strong>
  OUR IDEAL SOFTWARE ENGINEER WILL HAVE:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years industry experience designing, building and supporting large scale systems in production.
  </li>
  <li>
   Strong computer science fundamentals including data structures, algorithms, and distributed systems.
  </li>
  <li>
   Systems programming skills including concurrency, consistency, caching, etc. Fluency in Java (or other similar procedural object-oriented language) is preferred.
  </li>
  <li>
   Broad experience with identifying and implementing creative solutions to real customer problems.
  </li>
  <li>
   Knowledge of database internals is a big plus.
  </li>
  <li>
   BS in Computer Science; Masters or PhD Preferred.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
 <br/>
 <br/>
 How do you want to make your impact?
 <br/>
 <br/>
 Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
 <br/>
 <br/>
 How do you want to make your impact?
 <br/>
 <br/>
 For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
</div>


develop

<div>
 <p>
  <strong>
   Software Engineer | Java, AWS | Berlin | &euro;70k - &euro;85k | German B2+
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're looking for a talented Software Engineer with a strong background in Java and AWS to join a fast growing team in Berlin.
 </p>
 <p>
  <br/>
 </p>
 <p>
  In this role, you'll develop and maintain scalable backend applications, contribute to the design of new features, and work closely with product managers, QA, and fellow engineers to deliver high-quality software. We're looking for someone who enjoys solving technical challenges, writing clean, maintainable code, and collaborating in an agile environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain high-quality Java applications and backend services
  </li>
  <li>
   Build and enhance RESTful APIs and integrate with internal and external systems
  </li>
  <li>
   Collaborate with cross-functional teams to deliver new features from concept through to production
  </li>
  <li>
   Write clean, maintainable, and well-tested code following engineering best practices
  </li>
  <li>
   Participate in code reviews and contribute to technical discussions and architectural decisions
  </li>
  <li>
   Troubleshoot, debug, and optimise applications to ensure performance and reliability
  </li>
  <li>
   Support continuous improvement of development processes and engineering standards
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Strong commercial experience developing applications with Java
  </li>
  <li>
   Experience building RESTful APIs and backend services
  </li>
  <li>
   Strong cloud experience with AWS
  </li>
  <li>
   Familiarity with relational databases and modern software development practices
  </li>
  <li>
   Experience working in Agile/Scrum teams
  </li>
  <li>
   German language skills at B2 level or above (required)
  </li>
  <li>
   Strong communication skills and a collaborative mindset
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you're interested please get in touch ASAP!
 </p>
 <p>
  <br/>
 </p>
</div>


Senior Software Engineer

bayoonet AG

<div></div><div><div><p>Du entwickelst innovative Cloud-, Web- oder Mobile-L&ouml;sungen f&uuml;r internationale Kunden im regulierten Medizintechnik-Umfeld, setzt agile Prozesse und Anforderungen nach IEC 62304 und ISO 13485 um und arbeitest mit modernen Technologien deiner Wahl.</p>
</div>
<div></div><div><div><div><div><div>Berlin,Darmstadt,M&uuml;nchen</div>
</div></div></div><div></div><div><div><div><div>Software Engineering</div>
</div></div></div><div></div><div><div><div><div>BAYOOMED</div>
</div></div></div></div><div></div><div><div><div><div><div>Berlin,Darmstadt,M&uuml;nchen</div>
</div></div></div><div></div><div><div><div><div>Software Engineering</div></div></div></div></div><div></div><div><div><div><div><br>
</div></div></div></div><div><div><div><p>F&uuml;r unser Unternehmen</p>
</div><div><p>BAYOOMED</p>
 </div><div><p>suchen wir ab sofort</p>
</div><div><p>Software Engineer (m/w/d) Digital Health | Cloud, Web, Mobile</p>
</div><div><p>Gemeinsam im Team sind wir am st&auml;rksten &ndash; deshalb arbeiten wir in einem hybriden Modell mit mindestens drei Tagen pro Woche vor Ort am jeweiligen Standort und zwei Tagen flexibel remote.</p>
</div></div></div><div><div><div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Deine Aufgaben</b></h2>
</div><div><p>Als Software Engineer arbeitest Du an innovativen L&ouml;sungen f&uuml;r internationale Kund:innen im regulierten Umfeld der Medizintechnik.
<br>
Je nach Erfahrung setzt Du Deinen Fokus auf: Cloud &amp; Backend | Web | Mobile Development</p>
<p>Dein T&auml;tigkeitsbereich umfasst dabei u. a.:</p>
<ul><li>Konzeption &amp; Entwicklung moderner Softwarel&ouml;sungen in agilen Prozessen</li>
<li>Entwicklung von Cloud- &amp; Backend-Systemen, Web-Frontends und mobilen Anwendungen</li>
<li>Umsetzung regulatorischer Anforderungen (z. B. IEC 62304, ISO 13485)</li>
<li>Erstellung von Unit Tests sowie Unterst&uuml;tzung bei Integrations- &amp; Systemtests</li>
<li>Mitwirkung bei der technischen Dokumentation im QMS</li>
</ul><p>Wir arbeiten technologieoffen und w&auml;hlen immer den besten Stack f&uuml;r das Projekt.</p>
<p>KI ist f&uuml;r uns kein Trend, sondern ein Werkzeug &ndash; und wie bei jedem Werkzeug kommt es auf die Handhabung an.
<br>
Du nutzt KI-Assistenzsysteme gezielt als Performance-Booster, entwickelst Deinen Workflow kontinuierlich weiter und wei&szlig;t dabei:
<br>
Geschwindigkeit ohne Qualit&auml;t ist nur schneller schlechter Code.</p>
</div><div><h2 class="jobSectionHeader"><b>Dein Profil</b></h2>
</div><div><ul><li>Studium in Informatik, Medizintechnik, Medizininformatik, Elektrotechnik oder vergleichbar</li>
<li>Erfahrung in der Softwareentwicklung (z. B. C#, TypeScript, Python)</li>
<li>Kenntnisse in mindestens einem Bereich: Cloud / Backend / Web / Mobile</li>
<li>Relevante Erfahrungen (je nach Schwerpunkt):
<ul><li>Nutzung von Web-Technologien wie HTML, CSS, JavaScript sowie Angular, React oder Vue.js</li>
<li>Native App Entwicklung f&uuml;r iOS oder Android (Swift, Kotlin)</li>
<li>Cross-Plattform Entwicklung (z. B. Kotlin Multiplatform, Flutter oder React Native)</li>
<li>Erfahrung mit Cloud-Technologien &amp; modernen Backend-Architekturen, z. B.:
<ul><li>Cloud-Plattformen wie AWS, Azure oder Google Cloud</li>
<li>Containerisierung &amp; Orchestrierung (Docker, Kubernetes)</li>
<li>API-Design &amp; Kommunikation (REST, gRPC)</li>
<li>Event-Streaming &amp; Messaging (Kafka, RabbitMQ)</li>
<li>Infrastructure as Code &amp; Deployment (Terraform, Azure DevOps Pipelines)</li>
</ul></li></ul></li><li>Idealerweise Erfahrung im regulierten Umfeld (IEC 62304, ISO 13485)</li>
<li>Sehr gute Deutsch- und Englischkenntnisse</li>
<li>Teamplayer:in mit Eigeninitiative und analytischem Denken</li>
</ul></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Das kannst du erwarten</b></h2>
</div></div></div><div><div><ul><li><div><p>Vielf&auml;ltige Teams aus Mitdenker:innen und Kund:innen, die kollaborativ und auf Augenh&ouml;he zusammenarbeiten</p>
</div></li><li><div><p>Eine positive Fehlerkultur &mdash; wir feiern Erfolge und verbessern unsere Zusammenarbeit kontinuierlich</p>
</div></li><li><div><p>BAYOONIVERSITY f&uuml;r Erfahrungsaustausch, Schulungen, Tech Talks und Firmenevents</p>
</div></li><li><div><p>Wachsendes Urlaubskontingent mit Firmenzugeh&ouml;rigkeit</p>
</div></li><li><div><p>H&ouml;henverstellbare Multiscreen-Arbeitspl&auml;tze, leistungsstarke Laptops</p>
</div></li><li><div><p>Helle B&uuml;ros, Themen-Meetingr&auml;ume, frisches Obst, Kaffee und Kaltgetr&auml;nke</p>
</div></li></ul></div></div><div><div><ul><li><div><p>Aktive Mitgestaltungsm&ouml;glichkeiten in spannenden und herausfordernden Aufgaben und Projekten</p>
</div></li><li><div><p>Flexible Arbeitszeiten und -modelle, bei denen keine Arbeitsstunde verf&auml;llt (Lebensarbeitszeitkonto)</p>
</div></li><li><div><p>Leistungsorientierte Bezahlung plus Option auf betriebliche Altersvorsorge</p>
</div></li><li><div><p>Standorte mit Top-Anbindung an &Ouml;PNV und Autobahn</p>
</div></li><li><div><p>Flache Hierarchien in cross-funktionalen Teams</p>
</div></li></ul></div></div></div></div><div><div><div><div><div><div>MITDENKER:INNEN GESUCHT</div>
</div><div><h2 class="jobSectionHeader"><b>&Uuml;ber Uns</b></h2>
</div><div><p>Die BAYOONET Group mit Standorten in Darmstadt, Berlin, M&uuml;nchen, K&ouml;ln, Ludwigsburg, H&ouml;hn, Basel und Mannheim gestaltet seit &uuml;ber 25 Jahren ma&szlig;geschneiderte Software und Hardware in vielf&auml;ltigsten Varianten. Wir geh&ouml;ren zu den Top-IT-Unternehmen in Deutschland und bestehen aus:</p>
<ul><li><b>BAYOOTEC GmbH</b> &ndash; enterprise software</li>
<li><b>BAYOOMED GmbH</b> &ndash; medical software</li>
<li><b>BAYOOSOFT GmbH</b> &ndash; management software</li>
<li><b>BAYOOCARE GmbH</b> &ndash; launch medical devices worldwide</li>
<li><b>Mechatronic Medical Engineers GmbH</b> &ndash; medical devices</li>
<li><b>Puls Produktdesign GmbH</b> &ndash; design industrial products</li>
<li><b>UID GmbH</b> &ndash; create user experiences</li>
</ul><p>In jedes unserer Projekte flie&szlig;en die Ideen, Visionen, kreative Leistungen und das fachliche Know-how eines jeden Mitdenkenden mit ein, was den entscheidenden Unterschied macht.</p>
</div></div></div></div></div><div></div><div><div>HABEN WIR DEIN INTERESSE GEWECKT?</div>
</div><div></div><div><h2 class="jobSectionHeader"><b>Bewirb dich jetzt</b></h2>
</div>
<div><p>Sende uns deine Unterlagen, Gehaltsvorstellung und den fr&uuml;hestm&ouml;glichen Einstiegstermin .</p></div></div>

Software Engineer (m/w/d) Digital Health | Cloud, Web, Mobile

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>
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Engineering Lead - Supply Chain Data Platform (m/w/d)

Code Compass 🧭

<div>
 <p>
  🤖 Machine Learning Engineer &ndash; Computer Vision &amp; Generative AI &ndash; 100%
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍 Berlin, Germany | 💰 &euro;50,000 - &euro;70,000 + Benefits | 🌍 Hybrid Working
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our client is a technology-driven organisation developing intelligent software solutions that leverage artificial intelligence, automation, and advanced data processing to solve complex business challenges at scale.
 </p>
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  <br/>
 </p>
 <p>
  Operating at the intersection of machine learning, software engineering, and product innovation, they are investing heavily in next-generation AI capabilities and expanding their engineering team to support the continued evolution of their platform and services.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role is ideal for a Machine Learning Engineer who enjoys taking cutting-edge AI solutions from research to production and wants to work on technically challenging projects with tangible real-world impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ⚙️ Tech Stack:
 </p>
 <p>
  Python, PyTorch, TensorFlow, Computer Vision, Generative AI, Diffusion Models, GANs, Image Processing, Machine Learning, Docker, Cloud Platforms, Production ML Systems, Automation, AI Workflows
 </p>
 <p>
  <br/>
 </p>
 <p>
  🚀 About the Role:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   As a Machine Learning Engineer, you will:
  </li>
  <li>
   Develop, train, and optimise machine learning models focused on computer vision and generative AI applications
  </li>
  <li>
   Build and deploy scalable ML solutions into production environments
  </li>
  <li>
   Design automation solutions that reduce manual effort and improve operational efficiency
  </li>
  <li>
   Monitor model performance, identify improvement opportunities, and enhance reliability and accuracy
  </li>
  <li>
   Collaborate closely with engineering, product, and operational teams to deliver practical AI-driven solutions
  </li>
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   Research emerging technologies and rapidly evaluate their suitability for business applications
  </li>
  <li>
   Contribute to the evolution of production-grade machine learning infrastructure and workflows
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  ➕ Nice to Have:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Several years of hands-on experience within machine learning and computer vision
  </li>
  <li>
   Strong Python development skills with experience using frameworks such as PyTorch or TensorFlow
  </li>
  <li>
   Practical experience working with generative AI technologies including diffusion models and GANs
  </li>
  <li>
   Understanding of ML deployment, scalability, performance optimisation, and production environments
  </li>
  <li>
   Experience with Docker and cloud-based infrastructure
  </li>
  <li>
   Knowledge of creative AI tools and visual content workflows
  </li>
  <li>
   Experience working with image-based products, digital content platforms, or related industries
  </li>
  <li>
   Strong analytical thinking combined with a pragmatic, solution-oriented mindset
  </li>
  <li>
   Ability to communicate effectively in an international and cross-functional environment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  💪 Benefits:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Opportunity to work on cutting-edge AI and machine learning technologies
  </li>
  <li>
   Highly collaborative and innovative working environment
  </li>
  <li>
   Flexible working arrangements with hybrid options
  </li>
  <li>
   Exposure to challenging technical problems with real-world impact
  </li>
  <li>
   Professional development support, training, and continuous learning opportunities
  </li>
  <li>
   Modern working environment with strong team culture and regular social activities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   ✉️ Due to the volume of applications, we may not be able to respond to everyone individually. However, we genuinely appreciate every application and will contact shortlisted candidates directly.
  </em>
 </p>
</div>


Machine Learning Engineer

Ashby

Staff Platform Engineer, EU

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Engineering Lead - Supply Chain Data Platform (m/w/d)

Machine Learning Engineer

Staff Platform Engineer, EU