senior machine learning engineer, ai platform

senior data engineer

data engineer

machine learning engineer

senior machine learning engineer, ai platform Jobs in Berlin

ai & analytics engineer

ai analytics engineer

Staffbase

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

Engineering Manager, Data & Analytics

Numa

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

Head of Data (m/f/d)

Mercor

<div>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 <strong>
  Mercor
 </strong>
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 <strong>
  Benchmark
 </strong>
 ,
 <strong>
  General Catalyst
 </strong>
 ,
 <strong>
  Peter Thiel
 </strong>
 ,
 <strong>
  Adam D'Angelo
 </strong>
 ,
 <strong>
  Larry Summers
 </strong>
 , and
 <strong>
  Jack Dorsey
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Position:
 </strong>
 Fraud Engineer (Coding Agent Experience)
 <br/>
 <br/>
 <strong>
  Type:
 </strong>
 <strong>
  Contract
  <br/>
  <br/>
 </strong>
 <strong>
  Compensation:
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 <strong>
  $80/hour
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 <strong>
  Remote
  <br/>
  <br/>
 </strong>
 <strong>
  Role Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Use frontier AI coding agents to complete and evaluate complex fraud and risk engineering tasks.
  </li>
  <li>
   Review model-generated implementations involving fraud detection systems, risk scoring models, abuse prevention tooling, and transaction monitoring systems.
  </li>
  <li>
   Identify bugs, edge cases, and failure modes to enhance model robustness.
  </li>
  <li>
   Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  </li>
  <li>
   Apply professional engineering judgment to realistic fraud and risk engineering scenarios.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Must-Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of professional experience in fraud engineering, risk engineering, trust &amp; safety, or related domains.
  </li>
  <li>
   Experience building fraud detection systems, risk scoring models, abuse prevention tooling, or transaction monitoring systems.
  </li>
  <li>
   Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  </li>
  <li>
   Ability to evaluate model-generated solutions in fraud, risk, and trust &amp; safety contexts.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in fintech, payments, marketplaces, or large-scale consumer platforms.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation &amp; Legal
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   $400 per accepted task
  </li>
  <li>
   Compensation is tied to accepted work.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Application Process (Takes 20&ndash;30 mins to complete)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Upload resume
  </li>
  <li>
   AI interview based on your resume
  </li>
  <li>
   Submit form
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Resources &amp; Support
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  </li>
  <li>
   For any help or support, reach out to: support@mercor.com
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 </em>
</div>


Fraud Engineer - AI Specialist

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>
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</p><h3 class="jobSectionHeader"><b>Initiativbewerbung IT Entwicklung</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)

Enpal

<div><p>Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy&mdash;from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.</p><p>
Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy.<br>
<br>
<b>About the Role</b></p><p>
Our central Data Platform team builds the paved road that domain Analytics Engineering and BI teams build on top of within our data mesh. As a Data Platform Engineer, your customers are developers, not dashboards: you own the tooling, abstractions, and guardrails that let 55+ AE/BI engineers embedded across domains ship dbt models safely and fast across a ~2,500-model monorepo. You'll work at the intersection of dbt, Snowflake, orchestration, and infrastructure-as-code, and you'll spend as much time unblocking and enabling others as you do writing code.</p><p></p><h3 class="jobSectionHeader"><b>
What You'll Do</b></h3><ul><li><p>
Own and evolve our dbt platform: macros, packages, project structure, selective/state-aware runs, and CI gating across a large monorepo.</p></li><li><p>
Build self-service scaffolding and developer tooling so domain teams can create models, sources, and tests without touching platform internals.</p></li><li><p>
Manage infrastructure as code with Terraform and ArgoCD (GitOps), keeping environments reproducible and reviewable.</p></li><li><p>
Enforce federated governance: data contracts, RBAC via Snowflake database roles, and domain ownership boundaries.</p></li><li><p>
Support data privacy and compliance requirements, including metadata-driven PII handling.</p></li><li><p>
Build observability and testing into the platform so failures are caught before they reach domain teams.</p></li><li><p>
Partner with AE/BI leads to gather requirements, review designs, document patterns, and continuously lower the barrier to entry.</p></li></ul><h3 class="jobSectionHeader"><b>
What We're Looking For</b></h3><ul><li><p>
Strong software engineering fundamentals: Python, testing, reusable libraries, and a platform-as-product mindset.</p></li><li><p>
Deep, hands-on dbt experience at scale (not just authoring models, but operating the platform around them).</p></li><li><p>
Solid Snowflake knowledge: RBAC, performance, and warehouse management.</p></li><li><p>
Experience with orchestration (Airflow) and containerized workloads (Kubernetes/AKS).</p></li><li><p>
Comfort with IaC (Terraform) and GitOps (ArgoCD).</p></li><li><p>
Familiarity with modern ingestion frameworks (dlt or similar).</p></li><li><p>
Excellent communication and stakeholder empathy; you enjoy enabling other engineers and can navigate ambiguity in a cross-domain mesh.</p></li></ul><h3 class="jobSectionHeader"><b>
Nice to Have</b></h3><ul><li><p>
Experience building internal developer platforms or paved-road tooling.</p></li><li><p>
Knowledge of data contracts and federated data governance.</p></li><li><p>
GDPR/DSGVO-aware data handling experience.</p></li><li><p>
Exposure to Snowflake Iceberg/REST catalogs or dbt Fusion.</p><p></p><p>
Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential&mdash;regardless of whether your experience meets every single requirement.
</p></li></ul><p></p><h3 class="jobSectionHeader"><b>What we offer</b></h3><ul><li><p><b>
Work at Germany's first green unicorn</b> - Play an active role in shaping the solar energy transition.</p></li><li><p><b>
The sun shines all over the world</b> - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.</p></li><li><p><b>
The ideal setup for your focus</b> - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.</p></li><li><p><b>
Grown-up business &amp; startup spirit</b> - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.</p></li><li><p><b>
Your kick-start at Enpal</b> - Onboarding day with a welcome bag, buddy program, and a team that really supports you.</p></li><li><p><b>
Stay up to date &amp; help shape the future</b> - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.</p></li><li><p><b>
The energy transition can only be achieved together</b> - At Enpal, you can expect legendary team spirit and unforgettable team events.</p></li><li><p><b>
Your extra boost</b> - 29 vacation days + one additional day off on Christmas Eve and New Year's Eve, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.</p></li></ul><p><i>
At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.</i></p></div>

Data Engineer (f/m/x)

Ströer SE & Co. KGaA

<div><div><div>Gehalt:
</div><div><div><ul><li> Berlin</li></ul>
<ul><li> Berufserfahrene</li></ul>
<ul><li> Software Engineering</li></ul></div></div></div></div><p></p>
<br><div><div>Unternehmensbeschreibung</div><br>
<br>
<p>M&ouml;chtest Du digitale L&ouml;sungen entwickeln, die den Journalismus auf das n&auml;chste Level bringen? In der Str&ouml;er Content Group Product &amp; Tech arbeiten &uuml;ber 150 Expert:innen an innovativen Konzepten.</p>
<p>Unser Herzst&uuml;ck ist t-online.de, Deutschlands f&uuml;hrende Nachrichten- und Ratgeberplattform. Mit einem einzigartigen Multiscreen-Konzept erreicht t-online Millionen Nutzer:innen &uuml;ber alle digitalen Kan&auml;le und setzt auf multimediales Storytelling, das sich an aktuellen Trends und Nutzer:innenverhalten orientiert.</p>
<p>Unsere Verticals wie Giga.de und kino.de erg&auml;nzen unser Angebot f&uuml;r die Generation Y. Wir schaffen Premium-Inhalte, die von Digital Natives konsumiert werden.</p>
<p>Denkst Du kreativ und m&ouml;chtest deine Ideen einbringen? Gestalte mit uns die Zukunft des digitalen Publishings!</p>
<p>In dieser Rolle entwickelst Du Anwendungen und Workflows, die unsere Redaktion bei der Erstellung, Bearbeitung und Ver&ouml;ffentlichung von Content unterst&uuml;tzen und echten Einfluss auf journalistische und redaktionelle Arbeit haben. Ein besonderer Fokus liegt dabei auf der Transformation redaktioneller Prozesse durch den Einsatz von AI und Agentic Engineering.
<br>
<br>
Wir suchen einen <b>Senior Fullstack Engineer (m/w/d)</b> mit starker Frontend-Expertise, technischem Gesamtverst&auml;ndnis und Lust darauf, Verantwortung f&uuml;r produktive Anwendungen zu &uuml;bernehmen &ndash; von der Idee &uuml;ber die Entwicklung bis zum stabilen Betrieb.</p><br>
<br>
<div>Stellenbeschreibung</div><br>
<br>
<ul><li>Du entwickelst moderne Web-Anwendungen f&uuml;r redaktionelle Produkte und unterst&uuml;tzt damit unsere Teams bei der effizienten Erstellung und Ver&ouml;ffentlichung von Content</li>
<li>Du gestaltest und implementierst AI-gest&uuml;tzte Workflows, die redaktionelle Prozesse vereinfachen, automatisieren und qualitativ verbessern</li>
<li>Du bringst Deine Erfahrung im Bereich Agentic Engineering ein und hilfst dabei, neue Ans&auml;tze f&uuml;r AI-basierte Produktentwicklung in die Praxis zu &uuml;bertragen</li>
<li>Du arbeitest mit Technologien wie JavaScript, TypeScript sowie mit modernen Frameworks wie Vue, React oder Angular</li>
<li>Du arbeitest eng mit Produkt, Redaktion, UX/UI und weiteren technischen Teams zusammen, um nutzerzentrierte und skalierbare L&ouml;sungen zu entwickeln</li>
<li>Du &uuml;bernimmst Ownership f&uuml;r Anwendungen und Features &ndash; von der technischen Konzeption &uuml;ber die Umsetzung bis zum Betrieb</li><br>
</ul><br>
<div>Qualifikationen</div><br>
<br>
<ul><li>Du verf&uuml;gst &uuml;ber sehr gute Kenntnisse in JavaScript, TypeScript sowie in einem modernen Frontend-Framework wie React, Vue oder Angular</li>
<li>Du hast Erfahrung in der Entwicklung produktiver Web-Anwendungen mit Fokus auf Wartbarkeit, Performance und User Experience</li>
<li>Du bringst erste Erfahrungen mit Agentic Engineering, AI-gest&uuml;tzten Entwicklungsprozessen oder der Integration von AI-Funktionalit&auml;ten in Softwareprodukte mit</li>
<li>Du kennst Public-Cloud-Plattformen wie AWS oder Google Cloud Platform und nutzt diese sicher in Entwicklungsprojekten</li>
<li>Du begeisterst Dich daf&uuml;r Produkte zu bauen, technische Herausforderungen zu l&ouml;sen und gemeinsam im Team Wirkung zu erzielen</li>
<li>bist offen f&uuml;r neue Technologien und zeichnest Dich durch pragmatisches Denken aus</li><br>
</ul><br>
<div>Zus&auml;tzliche Informationen</div><br>
<br>
<ul><li>Feelgood: Ob frisches Obst &amp; M&uuml;sli zum gemeinsamen Fr&uuml;hst&uuml;ck mit Blick auf die Speicherstadt am Standort Hamburg, Recreation Rooms in Frankfurt/Main &amp; M&uuml;nchen, Lounge mit Playstation in Berlin - jeder Standort hat seinen eigenen Charme</li>
<li>Flexibility: Keine Lust auf Rush Hour? Bei uns hast Du die M&ouml;glichkeit auch aus dem Home Office zu arbeiten</li>
<li>Community: Wir &uuml;bernehmen Verantwortung und sorgen f&uuml;r mehr Nachhaltigkeit und Diversit&auml;t am Arbeitsplatz &ndash; engagiere Dich z.B. in unserer Nachhaltigkeitswerkstatt oder werde Mitglied in einer unserer Communities wie LGBTQ+ oder unserem Frauennetzwerk</li>
<li>Company: Sie oder Du? Bei uns findest Du ein kommunikatives und respektvolles Miteinander per &bdquo;Du&ldquo;, das durch eine offene Kultur gepr&auml;gt ist. Als Konzern legen wir besonderen Wert auf die berufliche Gleichstellung unserer Mitarbeiter:innen</li>
<li>Learn &amp; Grow: Gestaltungsspielraum f&uuml;r Deine kreativen Ideen sowie fachliche und pers&ouml;nliche Weiterentwicklungsm&ouml;glichkeiten, z.B. in unserem internen Talenteprogramm, zeichnen die bunte Str&ouml;er-Welt aus
</li><li>On Top: Profitiere durch unsere Benefits und nutze die M&ouml;glichkeit eines bezuschussten Mittagessens oder lease Dir verg&uuml;nstigt ein Fahrrad und genie&szlig;e exklusive Rabatte in vielen Shops</li></ul></div>

Senior Fullstack Engineer (m/w/d)

CompuGroup Medical

<div><p>Als f&uuml;hrendes Unternehmen im Bereich Softwarel&ouml;sungen f&uuml;r das Gesundheitswesen sind wir in 19 L&auml;ndern t&auml;tig und besch&auml;ftigen &uuml;ber 9.000 engagierte Mitarbeitende. Du wirst in einem dynamischen und innovativen Umfeld arbeiten, das voller M&ouml;glichkeiten steckt. Mit Deinem Einsatz und Deiner Leidenschaft hast Du die Gelegenheit, einen nachhaltigen Unterschied zu machen.
</p><p></p><p><b>CGM Leverages AI:</b> Wir suchen Menschen, die die Kraft von KI im E-Health-Umfeld sp&uuml;ren, den Wandel mitgestalten wollen und mit neugieriger Leidenschaft erkennen, wie Technologie Gesundheit smarter, einfacher und besser machen kann.</p><p></p><p>
Gemeinsam gestalten wir das Gesundheitssystem der Zukunft. Werde Teil unserer Mission und mache den Unterschied &ndash; <b>f&uuml;r eine Welt, in der Wissen Leben rettet!</b></p><p></p><p><b>
Dein Beitrag:
</b></p><p></p><ul><li><p>Du &uuml;bernimmst die technische F&uuml;hrung f&uuml;r eine moderne Webplattform auf Basis von Angular/React, Java (z.B. Quarkus, Spring Boot) und Python mit Anbindung an relationale Datenbanken, Event-Streaming (z.B. Kafka) und etablierte Branchenstandards, und verantwortest gemeinsam mit dem Product Management die technische Roadmap.</p></li><li><p>
Du f&uuml;hrst ein cross-funktionales Engineering-Team, hebst die technische Messlatte kontinuierlich an und stellst sicher, dass Architektur, Codequalit&auml;t und Delivery-Praktiken zu unseren &uuml;bergreifenden Standards passen.</p></li><li><p>
Du treibst die AI-native Weiterentwicklung der Plattform voran, designst Agents, Skills und Workflows, die f&uuml;r Anwender:innen im Gesundheitswesen sp&uuml;rbaren Mehrwert im Alltag schaffen.</p></li><li><p>
Du arbeitest eng mit Architektur, Security und anderen Produktteams zusammen, sorgst f&uuml;r Konsistenz, Wiederverwendung und klare Schnittstellen in einem integrierten L&ouml;sungsportfolio.</p></li><li><p>
Du coachst und mentorst Engineers, st&auml;rkst Ownership, Proaktivit&auml;t und eine moderne Engineering-Kultur im Team und baust so ein leistungsstarkes, selbstorganisiertes Setup auf.</p></li></ul><p></p><p><b>
Das bringst Du mit:
</b></p><p></p><ul><li><p>Mehrj&auml;hrige Senior-Erfahrung im Engineering moderner Webanwendungen mit nachweislicher technischer F&uuml;hrung (z.B. Tech Lead, Principal Engineer) und End-to-End-Verantwortung f&uuml;r produktive Systeme.</p></li><li><p>
Abgeschlossenes Hochschulstudium (idealerweise Master) in Informatik, Software Engineering oder einem vergleichbaren technischen Studiengang mit sehr guten Leistungen.</p></li><li><p>
Sehr gute Kenntnisse in einem modernen Kernstack &ndash; React/Angular, Java Spring Boot (idealerweise Quarkus-Erfahrung), Python, Kafka, Terraform &ndash; sowie in Cloud- und DevOps-Praktiken (z.B. Kubernetes, Helm, ArgoCD) und verteilten, skalierbaren Systemen.</p></li><li><p>
Nachweislich effektiver Einsatz von AI im Software-Engineering, bevorzugt mit Claude Code oder &auml;hnlichen agentischen Coding-Tools (Agents, Skills, Workflows) sowie Erfahrung mit AI-Pipelines, Harnesses und Context Engineering, um AI-first-Funktionalit&auml;ten sicher in die Architektur zu integrieren.</p></li><li><p>
Flie&szlig;endes Deutsch und flie&szlig;endes Englisch in Wort und Schrift, ausgepr&auml;gte Probleml&ouml;sungsst&auml;rke, Innovationsfreude, hohe Proaktivit&auml;t, starkes unternehmerisches Mindset und klares Alignment mit unserem Healthcare-Purpose und dem Impact auf die Versorgung.</p></li></ul><p></p><p><b>
Das kannst Du von uns erwarten:
</b></p><p></p><ul><li><p><b>Mobile Work: </b>Arbeite flexibel an zwei Tagen pro Woche mobil und an 3 Tagen vor Ort.</p></li><li><p><b>
Attraktive Standorte: </b>An unseren Standorten erwarten Dich neben voll ausgestatteten Arbeitspl&auml;tzen auch regelm&auml;&szlig;ige Events wie Sommerfeste und Weihnachtsfeiern.</p></li><li><p><b>
Entwicklung: </b>Unsere Inhouse-Academy und unser Portfolio aus externen Kooperationspartnern unterst&uuml;tzen Dich in Deiner Weiterentwicklung.</p></li><li><p><b>
Gesundheit: </b>Gesundheit ist f&uuml;r uns ein hohes Gut. In der hauseigenen Kantine gibt es jeden Tag eine Auswahl an leckeren und gesunden Gerichten und in unserem voll ausgestatteten Fitnessstudio hei&szlig;en wir Dich in w&ouml;chentlichen Kursen gerne willkommen.</p></li><li><p><b>
Mehr geht immer: </b>Der Kindergarten auf unserem CGM-Campus in Koblenz unterst&uuml;tzt unsere Mitarbeitenden dabei, ihren Arbeitsalltag noch flexibler zu gestalten. Wir halten au&szlig;erdem Corporate Benefits, die M&ouml;glichkeit eines Jobrads, BAV u. v. m. f&uuml;r Dich bereit.</p></li></ul><p></p><p><b>
Vielfalt ist Teil von CGM! </b>Wir freuen uns unabh&auml;ngig von Behinderung, Geschlecht, Nationalit&auml;t, ethnischer und sozialer Herkunft, Religion, Alter sowie sexueller Orientierung und Identit&auml;t auf Deine Bewerbung.</p><p></p><p><b>
&Uuml;berzeugt? </b>Bewirb Dich jetzt online mit Deinen aussagekr&auml;ftigen Bewerbungsunterlagen (inkl. Deiner Zeugnisse, Gehaltsvorstellung und n&auml;chstm&ouml;glichem Eintrittstermin).</p></div>

Technical Leader Software Engineering (m/w/d)

Explore 45+ Ai analytics engineer in Berlin this July. Find roles across top companies and apply now to boost your career.