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

full stack engineer

cloud data engineer

Almedia

<div>
 This isn&rsquo;t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We&rsquo;re aiming to become Germany&rsquo;s second bootstrapped unicorn. Almedia is already Europe&rsquo;s #3 fastest-growing company in 2025 (FT1000).
 <br/>
 <br/>
 We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers&rsquo; products. We are offering a new way to acquire users for the biggest companies in the world.
 <br/>
 <br/>
 <strong>
  Data Engineer
  <br/>
  <br/>
 </strong>
 You&rsquo;ll design, implement, scale, and maintain the code that powers our production environment. With real freedom to innovate, you&rsquo;ll shape the next generation of our data and backend platform&mdash;connecting APIs, pipelines, self-managed and cloud infrastructure to deliver fast, reliable, high-impact systems.
 <br/>
 <br/>
 <strong>
  A highly technical mindset and a drive to improve daily are essential.
  <br/>
  <br/>
 </strong>
 <strong>
  What You&rsquo;ll Do 🎯
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build Python APIs and backend services that power internal and third-party integrations
  </li>
  <li>
   Develop and operate end-to-end data pipelines, from ingestion to persistence across GCP services
  </li>
  <li>
   Build high-frequency, event-driven systems for real-time and asynchronous data processing
  </li>
  <li>
   Apply strong data modeling and database design principles for structured and semi-structured data
  </li>
  <li>
   Write clean, testable, production-grade code with strong coverage and CI/CD discipline
  </li>
  <li>
   Drive observability, performance, and reliability across backend and data systems
  </li>
  <li>
   Own services end-to-end &mdash; from schema and API design to deployment and monitoring
  </li>
  <li>
   Use modern cloud and automation practices (IaC tools like Terraform, containers, orchestration)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring 💡
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong experience in backend or data engineering
  </li>
  <li>
   Strong skills in Python and SQL
  </li>
  <li>
   Hands-on experience with cloud platforms (AWS or GCP) and data warehouse design (using BigQuery or Snowflake)
  </li>
  <li>
   Solid engineering discipline &mdash; CI/CD, testing, microservices, and end-to-end ownership
  </li>
  <li>
   Understanding of data modeling, schema design, and performance optimization
  </li>
  <li>
   Familiarity with orchestration tools (Airflow, Dagster) and observability practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with API integrations (CRM, attribution, or marketing systems)
  </li>
  <li>
   Exposure to containerization (Docker, Kubernetes)
  </li>
  <li>
   Knowledge of data testing frameworks or event-driven architectures
   <br/>
   <br/>
  </li>
 </ul>
 Why Almedia? 🎁
 <br/>
 <br/>
 <ul>
  <li>
   Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.
  </li>
  <li>
   Scale With Almedia: Grow alongside a startup that has been profitable from day one.
  </li>
  <li>
   Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.
  </li>
  <li>
   Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.
   <br/>
   <br/>
  </li>
 </ul>
 We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
</div>


Data Engineer

The Quality Group

<p></p><div><p>Start: Immediately | Level: Mid - Senior | Location: Germany, remote | Working Hours: Full Time (40h/Week)</p><br>
<p>
We're looking for a (Senior) Data Engineer (gn) who's ready to leave a real mark. You'll take ownership of our data platform, drive the architecture of scalable and reliable data products &ndash; and play a central role in shaping our Data Warehouse to the next level. As the core of our data hub, you'll connect teams, technologies, and insights, setting the technical direction for how we work with data across the entire organisation.</p>
<h3 class="jobSectionHeader"><b>
Your mission</b></h3>
<ul><li>You design and own the architecture of our end-to-end data platform, including ingestion, transformation, and serving layers</li>
<li>You lead the development of robust data pipelines using Fivetran, Airbyte, and Python &ndash; setting engineering standards for the team</li>
<li>You drive data modeling excellence in Databricks using advanced SQL, dbt, and data quality frameworks like elementary</li>
<li>You define and enforce data quality standards, ensuring reliable data marts that power business-critical decisions</li>
<li>You act as technical lead, collaborating closely with the Product Owner and Business Insights team on complex data challenges</li>
<li>You own and evolve our cloud infrastructure on AWS, driving infrastructure-as-code with Terraform (IaC)</li></ul><p><br>
</p><h3 class="jobSectionHeader"><b>Your experience &amp; skills</b></h3>
<ul><li>You have several years of hands-on experience as a Data Engineer, ideally in a cloud-native environment</li>
<li>You're proficient in SQL, Python, dbt, and Git &ndash; and have a strong track record of building production-grade pipelines</li>
<li>You bring experience with cloud platforms (AWS preferred) and tools like Databricks, Fivetran, or Airbyte</li>
<li>You have a deep understanding of data modeling, data warehouse design, and data quality best practices</li>
<li>You're a strong communicator who can bridge the gap between engineering and business stakeholders</li>
<li>You're self-driven, take ownership end-to-end, and thrive in a remote, async-first environment</li>
</ul><h3 class="jobSectionHeader"><b>Why choose us?</b></h3>
<p>
Being part of our team means joining a high-performing company with a diverse and inclusive culture. In our fast-growing team of over 1,200 employees, we combine our passion for sports nutrition, supplements, and healthy foods with cutting-edge technology, production, and logistics processes. All of this serves one goal: providing our customers with top-quality products to support their healthy and active lifestyle.</p>
<p>
You can look forward to a strong sense of team spirit, ongoing opportunities for professional growth and responsibility, and an exciting work environment that blends lifestyle and career. With locations in Hamburg, Elmshorn, Kaltenkirchen/N&uuml;tzen, and Elsdorf, TQG offers diverse career opportunities in areas such as technology, product development, sales, marketing, and logistics. Additionally, you'll benefit from:</p>
<ul>
<li>Flexible working hours and remote work options</li>
<li>Attractive employee discounts</li>
<li>Subsidy for the E-gym Wellpass</li>
<li>Workation</li>
<li>Corporate benefits</li>
<li>28 days vacation/year</li>
<li>and much more</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
About Us</b></h3>
<p>
The Quality Group (TQG) is an innovative provider of sports nutrition products, bringing together the successful brands <b>ESN </b>and <b>More Nutrition </b>since 2021.</p>
<p><b>
ESN </b>has been the German market leader in sports nutrition since 2004, offering products like protein powders, bars, and supplements designed for ambitious fitness goals. Founded in 2017, <b>More Nutrition</b> focuses on healthy, reduced-sugar foods, providing solutions for conscious nutrition and weight management without compromise.</p>
<p>
TQG's vision is to help people become the best version of themselves. With passion and innovation, the company develops high-quality products that promote health, performance, and joy in life. Its agile company culture and exciting career opportunities make TQG a strong partner not only for customers but also for employees.</p>
<p><b>
This is us &ndash; The Quality Group &ndash; nice to meet you! Now it's your turn!</b><br>
We look forward to your application! Regardless of gender, age, background, or identity &ndash; what matters to us is who you are and what you bring to the table. Join our team and grow with us!</p></div><p></p>

(Senior) Data Engineer (gn)

Saas.group

<div><p>This role is part of our INFOnline team, one of our exciting brands at saas.group.</p>
<p>
INFOnline powers digital audience measurement for the German and Austrian media industry. Our systems process billions of events and deliver the trusted reach and engagement metrics used by publishers, advertisers, agencies, IVW and OEWA.</p>
<p>
As part of saas.group, we have been modernizing our business-critical infrastructure and moving towards a fully cloud-native architecture on GCP. The major migration work is complete. Now we are looking for a strong technical owner to run, harden, scale and evolve the new platform.</p>
<h3 class="jobSectionHeader"><b>
Profile Overview</b></h3>
<p>
We're looking for a technically deep, hands-on Lead Data Platform Engineer to take full ownership of INFOnline's central data platform from raw event ingress through processing, aggregation, data modeling and reporting delivery.</p>
<p>
You will take ownership of a newly built GCP-native data platform as it moves from completed migration into long-term production operation, optimization and continuous evolution.</p>
<p>
This is not a role where you simply follow someone else's roadmap. You will help define how the platform should mature: where we need stronger observability, better data quality controls, clearer ownership boundaries, improved documentation, cost efficiency and more scalable operating models.</p>
<p>
This is a hands-on technical leadership role. You will set technical direction, make architecture decisions, establish engineering standards, mentor others and still work close to the code and systems.</p>
<p>
On top of that, you will help drive AI-native engineering practices using coding agents, AI-assisted testing, documentation, refactoring and incident analysis to increase engineering speed and quality.</p>
<h3 class="jobSectionHeader"><b>
Your immediate impact in the first 3-6 months will be:</b></h3>
<ul><li>Audit and map the existing cloud and data platform architecture identify critical risks, dependencies, and improvement opportunities</li>
<li>Take ownership of core platform components from data ingress to reporting, supported by structured knowledge transfer where needed</li>
<li>Establish full internal ownership of the new cloud-native data platform</li>
<li>Improve data quality controls, validation processes and operational safeguards</li>
<li>Build a pragmatic post-migration roadmap focused on stability, scalability, data quality, cost efficiency and business continuity</li>
<li>Strengthen monitoring, alerting, and observability for business-critical data workflows and IVW/OEWA delivery pipelines</li>
<li>Establish engineering standards around documentation, code reviews, testing and AI-native development practices</li>
</ul><h3 class="jobSectionHeader"><b>Your responsibilities</b></h3>
<ul><li>Own the end-to-end data platform roadmap and drive its execution from architecture decisions to day-to-day platform operations</li>
<li>Take accountability for data ingress, streaming processing, batch aggregation, data modeling, quality, delivery and reporting logic</li>
<li>Ensure reliability, scalability and performance through strong monitoring, observability and incident management practices</li>
<li>Continuously improve the new GCP-native platform with a focus on stability, cost efficiency, maintainability and business continuity</li>
<li>Collaborate closely with Product, Customer Success and Leadership to translate business requirements into scalable technical solutions</li>
<li>Drive AI-native engineering adoption, including AI-assisted coding, refactoring, testing, documentation and code reviews and establish standards for safe, effective use</li>
<li>Work with external specialists where useful and establish sustainable internal ownership of all critical platform components</li>
</ul><h3 class="jobSectionHeader"><b>What You bring to the table</b></h3>
<ul><li>5+ years of experience in Data Engineering, Data Platform Engineering, or Platform Engineering in production environments</li>
<li>Solid Go (Golang) proficiency is required. Our core backend systems, including ingress collectors, Pub/Sub processors, Dataflow jobs, batch loaders, controllers and CLI tools are written in Go.</li>
<li>Strong hands-on experience with GCP Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Storage, Cloud SQL</li>
<li>Strong SQL and analytical data modeling skills; familiarity with SQLMesh (or similar dbt-style orchestration tools) is a significant plus</li>
<li>Practical experience with Terraform / IaC, CI/CD pipelines, and containerized workloads (Docker; Cloud Run-style serverless, not cluster Kubernetes)</li>
<li>Experience with Protobuf or comparable schema definition and serialization frameworks</li>
<li>Familiarity with IVW, OEWA or comparable digital audience measurement standards or a genuine interest in the web analytics domain and the ability to ramp quickly</li>
<li>Experience with AI coding assistants and coding agents (Claude Code, Codex, or similar) and sound judgment in reviewing AI-generated code for quality, security, and operational risk</li>
<li>Excellent communication skills with both technical and non-technical stakeholders</li>
<li>Fluent German (C1) required; good English for technical documentation and saas.group collaboration</li>
</ul><h3 class="jobSectionHeader"><b>What's in it for You</b></h3>
<ul><li>Ultimate flexibility: We're 100% remote. You can work from wherever you like, whenever you like.</li>
<li>Freedom and autonomy: We're a high-trust team, and you'll be given lots of flexibility to solve problems in your own way, with plenty of help from the team when you need it.</li>
<li>Minimum bureaucracy: We don't like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady &amp; sustainable.</li>
<li>Small &amp; friendly team: We help each other out, have fun, and joke around.</li>
<li>Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning and expertise with each other internally.</li>
</ul>
<p>INFOnline is part of saas.group and we have a shared goal of succeeding together.</p><div><p>
&mdash;</p>
<p><i>
saas.group is committed to creating a diverse and inclusive workplace. We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you're passionate about working with a team that values innovation, excellence, and fairness, we encourage you to apply.</i></p>
<p><i>
We believe in fair and transparent pay. Salary ranges at saas.group are location-adjusted, targeting local market medians for a remote-first environment, and will be shared with our potential future employees in writing before your first interview - so you have everything you need to evaluate the opportunity.</i></p></div></div>

Lead Data Platform Engineer (German Speaker)

Exxeta

<div><div><div><div><div><div><p>Berlin, Karlsruhe, Mannheim</p>
</div></div><div><b>Du brennst f&uuml;r moderne Datenplattformen und Databricks ist f&uuml;r dich mehr als nur ein weiteres Tool? Du m&ouml;chtest nicht nur Projekte umsetzen, sondern ein Thema gestalten, Menschen bef&auml;higen und eine technologische Community aufbauen? Dann bist du bei uns genau richtig.</b>
</div><h3 class="jobSectionHeader"><b>Was erwartet dich</b></h3>
<div><div><ul><li>Du &uuml;bernimmst eine Schl&uuml;sselrolle innerhalb des Teams: Du gestaltest anspruchsvolle Data-Plattformen und entwickelst Databricks als strategische Datenplattform bei Exxeta weiter &ndash; technisch, methodisch und organisatorisch.</li>
<li>Unterst&uuml;tze unsere Kunden bei der Konzeption und Umsetzung moderner Data- und AI-Plattformen und in anspruchsvollen Data-Engineering-Projekten.</li>
<li>Du entwickelst Best Practices, Referenzarchitekturen und technische Blaupausen rund um Databricks und gibst deine Expertise an deine Kolleg:innen in internen Trainings, Sparrings etc. weiter. Du schaffst interne Sichtbarkeit f&uuml;r das Thema.</li>
<li>Als technische Ansprechperson und Projekt-Lead baust du das Offering aktiv aus und arbeitest an Go-to-Market-Ans&auml;tzen mit. Du bringst deine Expertise au&szlig;erdem in der Angebotskonzeption und bei technischen Kundenterminen ein.</li>
<li>Du arbeitest eng mit unseren Kunden auf Augenh&ouml;he zusammen und begleitest sie von der Strategie bis zur Umsetzung.</li>
</ul></div></div><h3 class="jobSectionHeader"><b>Was erwarten wir von dir</b></h3>
<div><div><ul><li><b>Pers&ouml;nlicher Background:</b> Du hast mehrj&auml;hrige Berufserfahrung im Data Engineering gesammelt, idealerweise in Beratungs- oder Plattformprojekten, und &uuml;bernimmst bereits Verantwortung f&uuml;r Projekte und Themenfelder.</li>
<li><b>Tech Skills: </b>Du hast dir Expertise in Databricks aufgebaut und bist fit in modernen Datenarchitekturen und Datenplattformen.</li>
<li><b>Data-Tooling:</b> Bei Big Data und Streaming Tools wie Apache Spark und Kafka, bei Orchestrierungsframeworks (z. B. Apache Airflow) sowie bei Container-Technologien wie Docker und Kubernetes bl&uuml;hst du richtig.</li>
<li><b>Look at Clouds: </b>Du begeisterst dich f&uuml;r Cloud L&ouml;sungen, insbesondere AWS oder Azure, sowie f&uuml;r Infrastructure-as-Code-Tools wie Terraform oder AWS CDK.</li>
<li><b>Mindset:</b> Du hast Drive und Lust, ein Thema nachhaltig weiterzuentwickeln, Menschen mitzunehmen und Verantwortung zu &uuml;bernehmen. Du arbeitest eigenverantwortlich, bist konzeptionell stark und &uuml;berzeugst durch dein sicheres Auftreten.
</li><li><b>On the road:</b> Du bist reisebereit und flexibel, unsere Kunden bundesweit vor Ort zu beraten.</li>
<li><b>Let's talk: </b>Du sprichst flie&szlig;end Deutsch und Englisch - super, dann findest du dich bei Exxeta bestens zurecht.</li>
</ul></div></div><h3 class="jobSectionHeader"><b>Warum Exxeta</b></h3>
<div><div><p>Bei Exxeta entwickeln wir digitale L&ouml;sungen, die wirklich etwas ver&auml;ndern &ndash; in Unternehmen, M&auml;rkten und K&ouml;pfen. &Uuml;ber 1200 Kolleg:innen bringen daf&uuml;r Technologie, Ideen und unterschiedliche Perspektiven zusammen. Was uns antreibt: Neugier, Teamspirit und der Anspruch, echten Impact zu schaffen. Hightech with a heartbeat eben.</p>
<p>Wir sind ein Zuhause f&uuml;r Menschen, die etwas bewegen wollen. Diversit&auml;t und unterschiedliche Perspektiven bereichern unser Team. Haltung, Ideen und Lust aufs Machen - das z&auml;hlt bei uns!</p>
<p><b>Bewirb dich jetzt!</b></p>
</div></div></div></div></div><div><div>Deine Kontaktperson</div>
<div><div><div><div><div><h3 class="jobSectionHeader"><b>Gabriela Zitsch</b></h3>
<div>Lead Employer Branding</div></div><p></p><div><div><br>
</div><p>+49 172 9853210
</p></div></div></div></div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Deine Benefits</b></h2>
</div><div><div><div><h3 class="jobSectionHeader"><b>An apple a day &hellip;</b></h3>
<p>Kaffee, Tee, Cola, Obst &ndash; geht aufs Haus</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Einfach mal weg?</b></h3>
<p>Bei uns normal: 30 Tage Urlaub und dein Sabbatical</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Flexibles Arbeiten</b></h3>
<p>Ob B&uuml;ro, Remote oder bei Kunden vor Ort? Deine Arbeitsweise gestaltet sich nach Kundenbedarf und Projektanforderung</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Gut ausgestattet</b></h3>
<p>Bei uns arbeitest du mit moderner Hardware. Extra Hardware leasen? Kein Problem</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Immer mobil</b></h3>
<p>Sportlich unterwegs: Wir bezuschussen dein (E-)Bike</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Lifelong Learning</b></h3>
<p>Workshops &amp; Mentoring: Gemeinsam entwickeln wir uns weiter</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Unvergessliche Events</b></h3>
<p>Unsere Erfolge feiern wir am liebsten als Team</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Versicherung inklusive</b></h3>
<p>Bis zu 1200 Euro Zuschuss f&uuml;r deine Brille, Z&auml;hne oder Massage</p></div></div></div></div></div></div></div>

Lead Engineer Databricks (all genders)

RSG Group GmbH

<div>
 <p>
  Mit mehr als 4,5 Millionen Mitgliedern in ihren Studios ist die
  <strong>
   RSG Group
  </strong>
  eines der weltweit f&uuml;hrenden Unternehmen im Bereich Fitness. Die 1997 von Rainer Schaller gegr&uuml;ndete - und sich nach wie vor im Familienbesitz befindende - RSG Group hat sich zu einem international t&auml;tigen Unternehmen entwickelt. Inklusive ihrer Franchisenehmer besch&auml;ftigt sie 10.000 Mitarbeitende an &uuml;ber 900 Standorten und ist in mehr als 30 L&auml;ndern vertreten. Das umfangreiche und zukunftsorientierte Portfolio umfasst 9 innovative Marken, dazu z&auml;hlen unter anderem Gold's Gym, McFIT und die JOHN REED Family. Die RSG Group setzt immer wieder neue Ma&szlig;st&auml;be und sorgt somit daf&uuml;r, wesentlicher Bestandteil des aktiven Alltags ihrer Kundinnen und Kunden zu sein.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WAS DU GEWINNST
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Sei du selbst:
   </strong>
   Komm so, wie du bist &ndash; bei uns wird Individualit&auml;t gesch&auml;tzt.
  </li>
  <li>
   <strong>
    Sichere Zukunft:
   </strong>
   Ein unbefristetes Besch&auml;ftigungsverh&auml;ltnis bietet dir Stabilit&auml;t und Sicherheit.
  </li>
  <li>
   <strong>
    Work-Life-Balance:
   </strong>
   Nutze die Home-Office-Option und flexible Arbeitszeiten, um Arbeit und Privatleben optimal zu gestalten.
  </li>
  <li>
   <strong>
    Fit und gesund:
   </strong>
   Nutze die kostenlose Mitgliedschaft bei McFIT, John Reed und Gold&rsquo;s Gym europaweit.
  </li>
  <li>
   <strong>
    Verschenke Fitness:
   </strong>
   Schenke einer Person aus deinem Bekanntenkreis eine Mitgliedschaft bei McFIT, John Reed und Gold&rsquo;s Gym europaweit.
  </li>
  <li>
   <strong>
    Extra Verg&uuml;tung:
   </strong>
   Freu dich auf 13 Geh&auml;lter inklusive Urlaubs- und Weihnachtsgeld.
  </li>
  <li>
   <strong>
    Mobilit&auml;t vs. Shoppen:
   </strong>
   Sichere dir anteilig dein Jobticket oder einen sachbezogenen Voucher. Zudem erwarten dich Shoppingrabatte bei unseren Partnern.
  </li>
  <li>
   <strong>
    Teamgef&uuml;hl:
   </strong>
   Erlebe flache Hierarchien und eine offene Kommunikation auf Augenh&ouml;he. Nimm an regelm&auml;&szlig;igen Team- und Firmenevents teil und st&auml;rke den Zusammenhalt. Verbringe entspannte Pausen in unserer voll ausgestatteten K&uuml;che, ideal f&uuml;r gemeinsame Feierlichkeiten.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WAS DU BEI UNS BEWEGST
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Du wirst Teil eines kleinen, hoch spezialisierten Data-Teams (4 Engineers + Head of Data), das die zentrale Cloud-Datenplattform der RSG Group betreibt und weiterentwickelt &ndash; die Datenbasis hinter Marken wie McFIT, JOHN REED und Gold's Gym.
 </p>
 <p>
  Im Team arbeiten heute Kolleg:innen mit klaren Schwerpunkten in Governance &amp; Architektur, Data Science, AI/NLP und MarTech. Du erg&auml;nzt dieses Setup als technischer Allrounder mit Engineering-Tiefe &ndash; jemand, der die Plattform end-to-end versteht, L&uuml;cken zwischen den Spezialgebieten schlie&szlig;t und das technische Gesamtniveau hebt.
 </p>
 <p>
  Diese Rolle umfasst folgende Aufgabenbereiche:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    ELT-Plattform weiterentwickeln:
   </strong>
   Du gestaltest unsere ELT-Strecke von der weitgehend automatisierten Quellanbindung (Fivetran) &uuml;ber die Transformation (Coalesce) bis zum Datenmodell im Snowflake-DWH mit &ndash; inklusive Performance, Skalierbarkeit und Cost Management.
  </li>
  <li>
   <strong>
    Datenmodellierung mit Substanz:
   </strong>
   Du arbeitest aktiv an unserer Modellierung (Data Vault 2.0, Star/Snowflake Schema) und stellst sicher, dass sie wartbar und konzerntauglich bleibt &ndash; im engen Austausch mit unserem Architecture-Lead.
  </li>
  <li>
   <strong>
    Predictive Use-Cases mit Impact:
   </strong>
   Gemeinsam mit den DS-/AI-Kolleg:innen entwickelst und produktivierst du ML-Modelle entlang des Member Lifecycles (Churn, Retention, Propensity, Forecasting) &ndash; mit Schwerpunkt passend zu deinem Profil.
  </li>
  <li>
   <strong>
    Datenqualit&auml;t &amp; Governance in der Praxis:
   </strong>
   Du setzt etablierte Standards in den Pipelines konsequent um (Data Cataloging, Column-Level Lineage, DSGVO-Compliance) und entwickelst sie mit dem Team weiter.
  </li>
  <li>
   <strong>
    Single Source of Truth:
   </strong>
   Du &uuml;bersetzt fachliche KPI-Definitionen aus Controlling und Fachbereichen in nachhaltige, konzernweit nutzbare Datenmodelle.
  </li>
  <li>
   <strong>
    DataOps:
   </strong>
   CI/CD, Testing, Monitoring, Alerting &ndash; du bringst Engineering-Best-Practices in den Alltag.
  </li>
  <li>
   <strong>
    Stakeholder &amp; &Uuml;bersetzung:
   </strong>
   Du arbeitest direkt mit Fachbereich, Controlling und Dienstleistern und machst aus fachlichen Anforderungen tragf&auml;hige technische L&ouml;sungen.
  </li>
  <li>
   <strong>
    Tech-Scouting:
   </strong>
   Du evaluierst neue Tools und Patterns und treibst die technische Zielarchitektur &ndash; im Rahmen der Datenstrategie des Bereichs &ndash; als gleichberechtigte Stimme im Team mit voran.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WAS UNS &Uuml;BERZEUGT
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    6+ Jahre Berufserfahrung
   </strong>
   im Data Engineering, davon mehrere mit echter Verantwortung in einer modernen Cloud-Datenarchitektur.
  </li>
  <li>
   <strong>
    Abgeschlossenes Studium
   </strong>
   (Informatik, Wirtschaftsinformatik, Statistik o. &auml;.) oder vergleichbare Praxiserfahrung.
  </li>
  <li>
   <strong>
    Tech-Stack &ndash; Must-have:
   </strong>
  </li>
  <li>
   SQL &amp; Python &ndash; Entwicklung und Betrieb produktiver Datenpipelines
  </li>
  <li>
   Snowflake (oder vergleichbares Cloud DWH) &ndash; Architektur, Performance-Optimierung und Cost Management
  </li>
  <li>
   ELT-Stack &ndash; Fivetran, Coalesce, dbt oder vergleichbare Technologien
  </li>
  <li>
   Datenmodellierung &ndash; Data Vault 2.0, Star-/Snowflake-Schema oder &auml;hnliche Methoden
  </li>
  <li>
   <strong>
    Predictive Modelling:
   </strong>
   Erfahrung im Bau und Produktivieren von ML-Modellen (Klassifikation, Forecasting) inkl. Feature Engineering &ndash; du musst kein Research-DS sein, solltest dich aber im gesamten Modell-Lifecycle wohlf&uuml;hlen.
  </li>
  <li>
   <strong>
    Governance &amp; DataOps:
   </strong>
   Solides Verst&auml;ndnis von DSGVO, Lineage, Cataloging sowie CI/CD, Testing und Git im Datenkontext.
  </li>
  <li>
   <strong>
    MarTech (Grundverst&auml;ndnis):
   </strong>
   Grundkenntnisse von Customer Data Platforms und Data-Activation-Stacks (z. B. Segment, Braze, Talon.One) sowie von RESTful APIs und Webhooks.
  </li>
  <li>
   <strong>
    Strukturierte Arbeitsweise:
   </strong>
   Eigenverantwortlich, agil (2-Wochen-Sprints), pragmatisch.
  </li>
  <li>
   <strong>
    Kommunikation:
   </strong>
   Du kannst mit Fachbereich und Controlling auf Augenh&ouml;he sprechen und technische Themen adressatengerecht erkl&auml;ren.
  </li>
  <li>
   <strong>
    Sprachkenntnisse:
   </strong>
   Du kommunizierst sicher auf Deutsch (mind. B2-Niveau) und kannst technische Themen sowie Dokumentationen problemlos auf Englisch verstehen, erstellen und diskutieren.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   PASSEN WIR ZUSAMMEN?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Die RSG Group bietet dir seit mehr als 25 Jahren eine einzigartige Unternehmenskultur mit Platz f&uuml;r Pers&ouml;nlichkeit: Wir betrachten Menschen als Menschen und somit als wertvoll f&uuml;r uns alle. Wir f&ouml;rdern und fordern. Wenn du somit talentiert bist und zu uns passt, erh&auml;ltst du bei uns die Chancen und Herausforderungen, nach denen du schon immer gesucht hast.
 </p>
 <p>
  Wir freuen uns auf dich!
 </p>
 <p>
 </p>
 <p>
  RSG Group GmbH | Dein Karriere-Team | Saarbr&uuml;cker Stra&szlig;e 38 | 10405 Berlin
 </p>
</div>


Senior Data Engineer (w/m/d) – Platform & Analytics

Upvest

<div><p>At Upvest, we are on a <b>mission to make investing as easy as spending money</b>. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest&rsquo;s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business.</p><p>
We are proud to partner with Europe&rsquo;s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by &euro;280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest &euro;105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience.</p><p></p><h1 class="jobSectionHeader"><b>
About the role:</b></h1><p>
Upvest's data platform powers near real-time financial analytics about operations across trading, payments, risk, and compliance. We're building the next generation of our data infrastructure - an Iceberg-backed Lakehouse and CDC-powered pipelines that give engineers, analysts, and business users a single, reliable place to work with data at scale. You'll own our Kafka consumer and CDC pipelines, help architect and deliver the Lakehouse foundation, and act as a trusted consultant for data integration, modelling, and schema design across the organization. If you care about reliability, scalability, and lowering the barrier to working with data - this is your role.</p><p>
We are open to hire remotely in Europe for this role.</p><div><br>
</div><h1 class="jobSectionHeader"><b>
What you&rsquo;ll do:</b></h1><ul><li><p>
Own and improve the Kafka consumer pipeline that captures, transforms, and warehouses event data</p></li><li><p>
Design and build CDC-based pipelines to capture and replicate changes from source systems into the data platform</p></li><li><p>
Design, build and maintain foundational data serving layers that scale and serve the use cases of engineering and analytics alike</p></li><li><p>
Act as a data consultant across the organization - advising on data integration, modelling, and schema design for teams building on or contributing to the platform</p></li><li><p>
Deliver self-service data solutions that enable engineers, analysts, and business users to work with the data platform independently</p></li><li><p>
Drive data observability: set up tests, metrics, and alerting for pipeline health and data quality using observability tooling such as Datadog</p></li><li><p>
Work closely with product engineering teams to ensure reliable, timely data availability</p></li><li><p>
Champion data culture - share knowledge, establish best practices, and help teams understand and trust their data</p></li></ul><p></p><h1 class="jobSectionHeader"><b><br>
What you bring:</b></h1><ul><li><p>
Strong experience building and operating event-driven data pipelines, ideally with Kafka or similar streaming infrastructure</p></li><li><p>
Experience with Python, Go or another systems-level language for building data infrastructure</p></li><li><p>
Solid SQL skills for data transformation, modelling, and staging layer development</p></li><li><p>
Familiarity with infrastructure-as-code tooling such as Terraform for managing cloud resources</p></li><li><p>
Experience working with cloud providers such as GCP, AWS, or Azure (we run primarily on GCP)</p></li><li><p>
Experience with schema design and data modelling principles - able to advise teams across the organization</p></li><li><p>
Experience setting up data observability and monitoring (Datadog, Grafana, Prometheus, etc.)</p></li><li><p>
A product and consulting mindset - able to understand the needs of engineers, analysts, and business users and translate them into platform solutions</p></li><li><p>
Strong communication skills and ability to promote data literacy across the organization</p></li></ul><p></p><h1 class="jobSectionHeader"><b><br>
It&rsquo;s great if you have:</b></h1><ul><li><p>
Experience with or strong interest in CDC tooling (Debezium, Fivetran, or similar)</p></li><li><p>
Familiarity with open table formats such as Apache Iceberg, Delta Lake, or Hudi - or strong interest in growing into this space</p></li><li><p>
Experience with building Agentic AI</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
How we Upvest in you:</b></h1><ul><li><p><b>
Best-in-class AI tools: </b>Every Upvenger has &euro;20,000 per year to spend on the best AI tools available &mdash; so you're always working with the most powerful models and tooling on the market.</p></li><li><p><b>
Impact-driven work:</b> We&rsquo;re building the infrastructure that will power the future of investing in Europe. It&rsquo;s complex, ambitious, and meaningful. You&rsquo;ll work with modern technologies and create something entirely new. No legacy systems, no limits.</p></li><li><p><b>
Wellbeing:</b> Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year. Recharge with UpRest, a one-month fully paid sabbatical after every 4 years of working at Upvest.</p></li><li><p><b>
Development:</b> Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it.</p></li><li><p><b>
Flexible work environment:</b> Work from any of our hubs in Berlin, London or Tallinn hybrid or remotely across Europe, depending on the role. We give you the choice and budget to work where you&rsquo;re most comfortable and productive, either at home or in the office. You choose.</p></li><li><p><b>
Compensation and equity:</b> We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program.</p></li><li><p><b>
Team celebrations:</b> Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements.</p></li><li><p><b>
Inclusion</b>: We&rsquo;re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem for our female Upvengers, or UpVergent supporting neurodivergent Upvengers and allies.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Our Values:</b></h1><ul><li><p><b>
Make it easy for others.</b> We simplify the complex and act with the best intentions.</p></li><li><p><b>
Own the outcome.</b> We are proactive, fast and confident to get the job done, valuing progress over perfection.</p></li><li><p><b>
Rise to the challenge.</b> We aim high and push the boundaries. We stay curious, learn and celebrate our wins together.</p></li><li><p><b>
Tell the story.</b> We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others.</p></li></ul><p>
Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</p></div>

Senior Data Product Engineer (f/m/d)

WEBEDIA

<div><h4 class="jobSectionHeader"><b>WORAUF DU DICH FREUEN DARFST:</b></h4><p></p><h1 class="jobSectionHeader">
About The Boxoffice Company</h1><div>
The Boxoffice Company is a worldwide technology and data organization dedicated to powering entertainment globally. Through its Source platform, The Boxoffice Company serves as the definitive showtimes data provider for the world's largest search and discovery platforms &mdash; including Google, Bing, IMDb, and others &mdash; reaching 90% of global internet audiences across 70 countries in 25 languages.</div><div>
We build the data and software backbone of the cinema industry: showtimes, ticketing flows, and box office intelligence powering products used across studios, exhibitors, and millions of moviegoers worldwide. We sit at the intersection of large-scale data pipelines, consumer-facing APIs, and AI-powered tooling &mdash; and we're looking for a staff engineer to join us.</div><h1 class="jobSectionHeader"><br>
The role</h1><div>
You will join the <b>Data</b> business unit as the first hire on the new <b>Discovery</b> team. The team owns critical APIs and services on Google Cloud, with a TypeScript backend on PostgreSQL and a frontend built in React and TanStack. The first phase of your work will be backend-heavy &mdash; designing services, modeling data, optimizing queries, building event-driven workflows &mdash; but the role is fullstack by design: as projects evolve, you're also expected to contribute to product features end-to-end, including the frontend layers that will distribute and showcase our data.</div><div>
We're hiring a staff engineer because we want someone who can take ownership of architectural decisions, push back when needed, mentor others, and move fast without breaking what matters.</div><h1 class="jobSectionHeader">
What you'll work on</h1><ul><li><div>
Design and operate production TypeScript APIs serving high-traffic cinema products: exhibitor websites, mobile apps, online ticketing, showtimes listing, and business intelligence dashboards</div></li><li><div>
Design and implement new data ingestion mechanisms</div></li><li><div>
Model and evolve PostgreSQL schemas for complex domains</div></li><li><div>
Build on GCP-native primitives: Cloud Run, Cloud Scheduler, Eventarc, BigQuery, Cloud Logging, Pub/Sub</div></li><li><div>
Contribute to event-driven and agent-based systems, including AI-powered features built on our proprietary data</div></li><li><div>
Shape technical decisions through RFCs and code reviews, and mentor mid-level engineers</div></li></ul><p></p><h4 class="jobSectionHeader"><b>
WORAUF WIR UNS FREUEN D&Uuml;RFEN:</b></h4><p></p><h1 class="jobSectionHeader">
What we're looking for</h1><ul><li><div>
6+ years building production backend systems, with deep TypeScript/Node.js expertise</div></li><li><div>
Strong PostgreSQL skills: schema design, query optimization, migrations, transactional thinking</div></li><li><div>
Hands-on experience with GCP (or comparable cloud) &mdash; Cloud Run, BigQuery, IAM, networking</div></li><li><div>
Comfort with the fullstack mindset: you can own a feature from the database to the UI when needed. Familiarity with React and TanStack is a strong plus</div></li><li><div>
Solid engineering fundamentals: testing, observability, security, performance</div></li></ul><p></p><h4 class="jobSectionHeader"><b>
ZUS&Auml;TZLICH BEKOMMST DU VON UNS:</b></h4><p></p><h1 class="jobSectionHeader">
How we work</h1><ul><li><div>
Autonomy by default. You own your scope. We trust senior engineers to make calls and document the why.</div></li><li><div>
We invest in keeping the stack current &mdash; dependencies, patterns, internal libraries. You won't inherit a decade of accumulated debt.</div></li><li><div>
AI-native engineering. We invest seriously in AI-assisted development and believe in the accelerating factors it provides.</div></li><li><div>
RFCs over meetings. Important decisions are written down and debated openly.</div></li><li><div>
Pragmatism over hype. We build for the next 5 years, not the next demo.</div></li></ul><h1 class="jobSectionHeader">
Location &amp; conditions</h1><ul><li><div>
Flexible work arrangement &mdash; remote, hybrid, or on-site, to be discussed based on your situation. We&rsquo;re a multi-country organization and the team is spread between Europe and North America.</div></li><li><div>
Working language: English (written and spoken).</div></li><li><div>
Full-time permanent contract (CDI)</div></li></ul><p></p><h4 class="jobSectionHeader"><b>
&Uuml;ber uns</b></h4><p></p><p><b>
Webedia Deutschland</b> ist eine Tochter der franz&ouml;sischen Webedia Group, die mit B&uuml;ros in 15 L&auml;ndern einige der international f&uuml;hrenden Medienangebote betreibt.</p><p>
Monatlich erreichen die Marken &uuml;ber 272 Million User*innen weltweit. In Deutschland betreiben wir die f&uuml;hrenden Online-Angebote im Film- und Gaming-Bereich (<b>Filmstarts, Moviepilot, GameStar, GameStar Tech, GamePro, MeinMMO</b>).</p><p>
Mit innovativen Influencer*innen Marketing Kampagnen runden die Talent Agencies <b>GetHero</b> unser Portfolio ab.</p><p>
An unseren zwei Standorten in Berlin und M&uuml;nchen arbeiten zusammen &uuml;ber 200 Mitarbeiter*innen mit Leidenschaft an unseren Inhalten und den besten L&ouml;sungen f&uuml;r unsere Kund*innen und Partner*innen. Hier kommen Expertisen aus den Bereichen Redaktion, Videoproduktion, Sales und Marketing, Projektmanagement, Social Media und Administration zusammen, um die besten Ideen zu entwickeln und gemeinsam umzusetzen.</p></div><p></p>

Staff Engineer - API & Data // The BOXOFFICE COMPANY

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