(senior) devops engineer - platform services (m/w/d)

(junior) cloud site reliability engineer (network) (m/f/x)

(junior) full-stack software engineer - supply chain management applications (m/f/d)

(senior) cloud engineer / linux-spezialist (m/w/d)

ai engineer (m/f/d)

full stack engineer

senior data engineer

(senior) data engineer (gn) Jobs in Berlin

(senior) data engineer (gn)

(senior) devops engineer - platform services (m/w/d) Jobs in Berlin

data platform engineer

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)

Future Energy Services GmbH

<div><h1 class="jobSectionHeader"><b>Senior Data Engineer</b></h1><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
About trawa</b></h2><div></div><p><br>
European energy costs are twice as high as in the United States and China. Electricity demand is expected to double by 2050. Market price volatility and complexity are here to stay - and the backbone of Europe's industrial economy is at risk.</p><div></div><p><br>
At trawa, we're building the solution: an integrated B2B energy platform combining procurement, energy management, and flexibility steering in a single product. That integration unlocks up to 30% in recurring electricity cost savings while helping companies make the switch to renewables.</p><div></div><p><br>
We're a Berlin-based scale-up of around 100 people. We've raised over &euro;35M to date - including a &euro;24M Series A in May 2025 - backed by Balderton, Headline, Speedinvest, AENU, Magnetic, and Tiny VC. All three founders are fully committed to building the utility of the future.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
The Team</b></h2><div></div><p><b><br>
Data Intelligence (DINTEL)</b> is an engineering team that owns trawa's data pipelines, and analytics infrastructure. We manage the full data lifecycle - from ingesting raw metering and market data, to invoicing and self-service analytics.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
About the Role</b></h2><div></div><p><br>
We're looking for a <b>Senior Data Engineer</b> to own and lead the development, reliability, and continuous evolution of our data platform. This is a high-ownership, high-autonomy role. You'll work across production systems at scale - defining technical direction, coordinating cross-team dependencies, and driving measurable impact across data engineering, analytics infrastructure, and operational tooling.</p><p>
You'll mentor teammates and be supported by experienced engineering leaders as you continue to grow your own leadership and technical skills.<br>
<br>
This role follows a hybrid working model. We expect team members to spend around 2-3 days per week in our Berlin office. There are no fixed office days and we don't monitor attendance strictly, but regular in-person collaboration is an important part of how we work.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><div></div><ul><li><p><br>
Lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS</p></li><li><p>
Define and evolve data quality standards, observability practices, and operational controls across the platform</p></li><li><p>
Lead cross-team technical discussions and help align stakeholders on data platform architecture decisions</p></li><li><p>
Deliver large-scale technical initiatives end-to-end, from design through delivery, collaborating with teams across the business</p></li><li><p>
Shape the team's technical culture through code reviews, mentorship, knowledge sharing, and documentation</p></li><li><p>
Evolve our analytics and BI tooling (ClickHouse, Metabase) to support business intelligence and decision-making</p></li><li><p>
Build and maintain data pipelines using Python (pandas, polars), dbt, and dlt</p></li><li><p>
Identify and address technical debt, improving platform reliability, scalability, and developer experience</p></li><li><p>
Communicate the value and impact of platform improvements to engineering and business stakeholders</p></li><li><p>
Diagnose and resolve complex data and performance challenges across multiple systems and services</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
Your First 90 Days</b></h2><div>
</div><h3 class="jobSectionHeader"><b>
First 6 Weeks - Getting Oriented</b></h3><ul><li><p>
Build context across the data platform, including AWS, dbt, dlt, PostgreSQL, ClickHouse, and Python services</p></li><li><p>
Begin contributing to production systems and taking ownership of key platform components</p></li><li><p>
Build relationships with engineers and stakeholders across the business to understand data needs, priorities, and opportunities for improvement</p></li></ul><h3 class="jobSectionHeader"><b>
By Month 3 - Building Momentum</b></h3><ul><li><p>
Take ownership of significant platform components and drive improvements with growing independence</p></li><li><p>
Begin leading a cross-team initiative with support from your manager and teammates, helping align stakeholders around a clear plan</p></li><li><p>
Identify and begin implementing a meaningful improvement to platform reliability, observability, or scalability</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Gain</b></h2><div></div><ul><li><p><br>
Ownership of a production data platform that directly powers trawa's energy trading, invoicing, and analytics</p></li><li><p>
The opportunity to work closely with engineering and business stakeholders on high-impact initiatives with company-wide visibility</p></li><li><p>
A chance to shape technical culture and contribute to the evolution of engineering practices across the Data Intelligence team</p></li><li><p>
Deep expertise across a modern data stack, including AWS, Python (pandas, polars, FastAPI), dbt, dlt, PostgreSQL, ClickHouse, and Metabase</p></li><li><p>
Support in growing your technical and leadership skills, with a clear progression framework and meaningful opportunities for advancement</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What We're Looking For</b></h2><p><br>
We know that great candidates don't always match every requirement. If you're excited about the role and believe you can contribute to our mission, we'd love to hear from you, even if your experience doesn't perfectly align with every qualification listed.</p><h2 class="jobSectionHeader"><b><br>
Core Requirements</b></h2><ul><li><p>
5+ years of experience in data engineering or a related field</p></li><li><p>
Strong SQL and Python skills</p></li><li><p>
Experience building and operating production data systems</p></li><li><p>
Experience collaborating across teams to deliver technical projects</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><div></div><ul><li><p><br>
Hands-on experience with parts of our stack, including dbt, dlt, ClickHouse, PostgreSQL, Metabase, or AWS</p></li><li><p>
Experience with workflow orchestration tools such as Airflow</p></li><li><p>
Familiarity with energy markets, time-series data, or operational data platforms</p></li><li><p>
Experience in a technical leadership role</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What Helps You Succeed Here</b></h2><ul><li><p>
Experience designing scalable and reliable data systems</p></li><li><p>
Enjoy mentoring and supporting the growth of teammates</p></li><li><p>
Comfort navigating ambiguity and helping bring clarity to complex problems</p></li><li><p>
Strong communication and stakeholder-management skills</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
Why Join Us</b></h2><div></div><p><br>
<b>Real impact</b> - Join one of Europe's fastest-growing B2B energy platforms at a pivotal moment. Your work will directly support systems that help industrial companies cut costs and go green.</p><div></div><p><br>
<b>Early ownership</b> - We give team members responsibility from day one. You won't be shadowing - you'll be shipping.</p><div></div><p><br>
<b>Mentorship that matters</b> - Regular leadership sessions, cross-functional exposure, and engineers who are genuinely invested in your growth.</p><div></div><p><br>
<b>Learning culture</b> - Annual learning budget, dedicated development time, and a team that takes knowledge-sharing seriously.</p><div></div><p><br>
<b>Inclusive by design</b> - 15+ nationalities, family-friendly policies, and a genuine commitment to building a place where everyone can do their best work.</p><div></div><p><br>
<b>Solid benefits</b> - A competitive package covering wellbeing, learning, and team experiences.</p></div>

Senior 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)

Team Passerelle

<div><p>Wir sind das Team Passerelle, eine 2025 in Berlin gegr&uuml;ndete KI-Beratung aus dem gewerkschaftlichen Umfeld. Unser Name ist Programm: <i>Passerelle</i> bedeutet Br&uuml;cke. Wir sind angetreten, um inmitten der gr&ouml;&szlig;ten Transformation der Arbeitswelt genau diese Br&uuml;cke in die Zukunft zu bauen - eine Br&uuml;cke, die echten technologischen Fortschritt erm&ouml;glicht und gleichzeitig bessere Arbeitsbedingungen schafft. All das machen wir unter dem Leitsatz: Gute KI. Gute Arbeit.</p>
<p>
Gegr&uuml;ndet von erfahrenen K&ouml;pfen aus der Tech- und Beratungswelt sowie der angewandten KI-Wissenschaft, verbinden wir strategischen C-Level-Weitblick mit tiefem technologischem Sachverstand. Wir begleiten Organisationen und Institutionen auf ihrem Weg in eine KI-gepr&auml;gte Zukunft, von der strategischen Beratung &uuml;ber die werteorientierte technische Implementierung bis zur nachhaltigen Adoption im Betrieb. Neben unseren Transformationsmandaten entwickeln wir au&szlig;erdem eigene Software-Produkte f&uuml;r digitale Souver&auml;nit&auml;t.</p>
<h2 class="jobSectionHeader"><b>
Aufgaben</b></h2>
<p>
Als Data &amp; AI Engineer schaffst du bei uns die zwingende technische Voraussetzung f&uuml;r jeden erfolgreichen KI-Einsatz: eine belastbare und strukturierte Datenbasis. Dein Schwerpunkt liegt darauf, historisch gewachsene, heterogene Datenlandschaften zu erschlie&szlig;en und f&uuml;r moderne KI-Anwendungen, insbesondere Retrieval-Systeme, nutzbar zu machen.</p>
<p>
Als eine:r der ersten dedizierten Engineering-Hires gestaltest du den Aufbau unserer technischen Umsetzungskraft mit &ndash; eng an der Seite unseres AI Solutions Architect. Dein T&auml;tigkeitsfeld umfasst zwei Bereiche: In unseren Beratungsmandaten analysierst du die bestehende Datenarchitektur, deckst L&uuml;cken auf und legst das Fundament f&uuml;r die KI-Strategie. Parallel dazu entwickelst du die Daten- und Retrieval-Pipelines f&uuml;r unsere eigene KI-Infrastruktur und Software-Produkte.</p>
<p>
**<br>
Deine Aufgaben**</p>
<ul>
<li><b>Datenbestandsaufnahme &amp; Reifegrad:</b> Du erstellst Datenlandkarten &uuml;ber heterogene Best&auml;nde hinweg und bewertest den Reifegrad des digitalen Fundaments. Deine L&uuml;ckenanalysen zu Identifikatoren und Metadaten zeigen pr&auml;zise, wo der Hebel liegt.</li>
<li><b>AI Data Ingestion (KI-Enablement):</b> Du erschlie&szlig;t unstrukturierte Datenquellen (PDFs, Berichte, Publikationen) f&uuml;r die Nutzung in KI-Systemen &ndash; Text-Extraktion, Chunking-Strategien, Metadaten-Generierung, z. B. mit Werkzeugen wie LlamaParse oder Unstructuredio.</li>
<li><b>Datenfundament &amp; Retrieval:</b> Du entwickelst Metadaten- und Identifikatorkonzepte, Datenmodelle und Embedding-Pipelines und baust die Retrieval-Grundlage f&uuml;r RAG-Anwendungen &ndash; inklusive Bef&uuml;llung und Betrieb von Vektordatenbanken (z. B. Qdrant, Weaviate, pgvector). Die Qualit&auml;t dieser Grundlage bewertest du systematisch.</li>
<li><b>Datenschutz &amp; Souver&auml;nit&auml;t:</b> Du gehst verantwortungsvoll mit sensiblen Daten um und stimmst dich eng zu AI-Governance-, Datenschutz, EU AI Act und Souver&auml;nit&auml;tsanforderungen ab. Datensparsamkeit und Schutzw&uuml;rdigkeit denkst du von Anfang an mit.</li>
<li><b>Pipelines f&uuml;r interne Software-Entwicklung:</b> Du baust und betreibst perspektivisch die Ingest- und Retrieval-Pipelines f&uuml;r eigene Software-Produkte &ndash; mit DataOps-Mindset (Versioning, Testing, Observability) und einem Verst&auml;ndnis agentischer Muster inkl. Human-in-the-loop.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifikation</b></h2>
<ul><li><b>Fundierte Data-Engineering-Erfahrung:</b> Mehrj&auml;hrige (3+ Jahre) im Data Engineering oder als Data Platform Engineer &ndash; idealerweise in gewachsenen, heterogenen Datenlandschaften. Exzellentes Python und SQL sowie sicherer Umgang mit dem Modern Data Stack (z. B. dbt, Airflow, Dagster) und ETL-/ELT-Prozessen.</li>
<li><b>KI-Enablement:</b> Praktische Erfahrung mit Embedding-Pipelines und Vektordatenbanken (z. B. Qdrant, Weaviate, Milvus, pgvector), ein Gesp&uuml;r f&uuml;r Retrieval-Strategien und Erfahrung mit der Erschlie&szlig;ung unstrukturierter Daten (z. B. LlamaParse, Unstructuredio).</li>
<li><b>Datenschutz-Bewusstsein:</b> Erfahrung im verantwortungsvollen Umgang mit sensiblen und personenbezogenen Daten sowie Kenntnis der einschl&auml;gigen Anforderungen (insb. DSGVO, EU-AI-Act-Awareness).</li>
<li><b>Pragmatismus bei realer Datenlage:</b> Du f&uuml;hlst dich in unvollst&auml;ndigen, gewachsenen Datenbest&auml;nden wohl und wei&szlig;t, dass ein nutzbares Datenmodell mehr wert ist als ein perfektes. Du priorisierst, wo es z&auml;hlt.</li>
<li><b>Kommunikationsst&auml;rke &amp; Haltung:</b> Du &uuml;bersetzt die Datenrealit&auml;t verst&auml;ndlich f&uuml;r nicht-technische Stakeholder und kommunizierst auf Augenh&ouml;he mit Fachbereichen. Dein Deutsch und Englisch ist verhandlungssicher. Du steuerst dich selbst, denkst l&ouml;sungsorientiert und teilst unsere Werte rund um eine gerechte Arbeitswelt von morgen.</li>
</ul>
<p><b>Sch&ouml;n, wenn du zus&auml;tzlich mitbringst:</b> Erfahrung mit Knowledge Graphs, Semantic Layer oder Text-to-SQL; ausgepr&auml;gtes DataOps-Mindset; Lust an PoCs mitzubauen</p>
<h2 class="jobSectionHeader"><b>
Benefits</b></h2>
<ul><li><b>Echter Impact &amp; Haltung:</b> Ein Arbeitsumfeld, das technologische Innovation mit gesellschaftlicher Verantwortung und nachhaltigen Werten verbindet. Du gestaltest die KI-Transformation an vorderster Front nach europ&auml;ischen, demokratischen Werten.</li>
<li><b>Sichtbarkeit &amp; Netzwerk:</b> Einblicke in hochkar&auml;tige Mandate aus Politik, Wirtschaft und Gewerkschaften</li>
<li><b>Hohe Autonomie:</b> Flache Strukturen, die bewusste Abwesenheit von Mikromanagement und echte Verantwortung f&uuml;r deine Accounts und Themen</li>
<li><b>Flexibles Set-up:</b> Remote-first mit einem Kernteam in Berlin sowie flexiblen Arbeitszeiten, die zu deinem Leben passen.</li>
<li><b>Standards:</b> 30 Tage Urlaub, ein eigenes Weiterbildungsbudget und modernste Arbeitsausstattung</li>
<li><b>Faire Verg&uuml;tung:</b> Ein transparentes Gehaltsband von 80.000 bis 95.000 &euro; brutto p.a. auf Basis einer 40h Woche (je nach Erfahrung)</li>
</ul>
<ul><li><b>Langfristige Perspektive:</b> Die Stelle ist aufgrund unserer agilen Startup-Phase zun&auml;chst auf ein Jahr befristet. Da wir uns im nachhaltigen Aufbau befinden, ist eine langfristige Zusammenarbeit unser klares Ziel. Eine Verl&auml;ngerung oder Entfristung wird bei entsprechender Mandats- und Gesch&auml;ftsentwicklung ausdr&uuml;cklich angestrebt.</li></ul>
<p><i>
Der Kern unserer Arbeit ist die sozialpartnerschaftliche Gestaltung der KI-Transformation - von der fairen Verteilung von Produktivit&auml;tsgewinnen &uuml;ber die digitale Souver&auml;nit&auml;t bis hin zur Frage, wie wir eine gerechte Arbeitswelt von morgen bauen. Wir brennen f&uuml;r diese Themen und wollen diese Br&uuml;cke in die Zukunft nicht nur theoretisch durchdenken, sondern ganz praktisch bauen.</i></p>
<p><i>
Daf&uuml;r suchen wir kluge K&ouml;pfe mit Haltung und Can-Do-Attitude, die um die Ecke denken und keine Angst haben, Annahmen zu hinterfragen. Bewirb dich ausdr&uuml;cklich auch dann, wenn dein Lebenslauf nicht perfekt auf die Beschreibung passt - f&uuml;r uns z&auml;hlen deine Perspektive und dein innerer Antrieb weit mehr als ein l&uuml;ckenloses Profil. Wenn du Lust hast, ein junges Unternehmen mitzupr&auml;gen und der Zukunft der Arbeit deinen Stempel aufzudr&uuml;cken:</i> <b><i>Join us!</i></b></p></div>

Data & AI Engineer (m/w/d)

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)

Talon.One LinkedIn Jobs

<div><div><p><b>ABOUT TALON.ONE:</b></p><br>
<p></p>
<p>
Talon.One is the most powerful incentives engine that unifies loyalty, promotions and gamification into one holistic platform. Backed by enterprise-grade security and scalability, Talon.One empowers companies to build personalized, profitable promotions and loyalty programs using any data.</p>
<p>
Today, over 250 of the world's most-loved brands including Adidas, Sephora and Carlsberg work with Talon.One to drive deeper engagement and lasting loyalty with their customers.</p></div><br>
<p></p>
<p><b>
ABOUT THE TEAM:</b></p>
<p>
We're a passionate team, consisting of a Head of Data, a Data Engineer, an Analytics Engineer and a Senior Data Analyst dedicated to all things data. You'll be at the centre of our expanding Data team. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices. Our team is set to grow soon, welcoming Data Engineers, Analytics Engineers, Analysts, and Data Scientists, all playing a pivotal role in Talon.One's development.</p>
<p><b>
ABOUT THE ROLE:</b></p>
<p>
As a Senior Data Engineer / Data Ops, you will be responsible for all engineering tasks related to the data infrastructure, data ingestion and DWH pipelines. You will own our data ingestion workflows (currently based on a Kafka stream) and will make sure that the data from our PostgresDB instances with a very high amount of data is ingested live into BigQuery. Besides, you will manage our overall data platform infrastructure, recommend improvement and make sure to always follow best practices. Finally, you will also of course be involved in the Data Engineering pipelines, assisting in the modelling of various data sources helping literally all departments within the company making better decisions.</p><br>
<p></p>
<p><b>
ONCE YOU ARE HERE YOU WILL:</b></p><br>
<p></p>
<ul>
<li>Own the data ingestion streams for all of our client's DBs, from Postgres to BigQuery</li>
<li>Own the overall data infrastructure: set up, maintain and improve our stack with new technologies for more efficiency and best practices. E.g. improve orchestration</li>
<li>Write DWH pipelines and improve our overall DWH code to apply best practices and bring more efficiency.</li>
<li>Be part of a data team composed of various profiles, be at the center of all infrastructure decisions and work closely with other stakeholders from the R&amp;D department, especially the DevOps team.</li>
</ul>
<p><b>WHAT WE NEED YOU TO BRING TO THE TABLE:</b></p>
<ul>
<li>3 -5 years of experience in the Data Engineering / Data Ops field, ideally working on some big data warehouse projects.</li>
<li>You are familiar with the modern data stack and are able to recommend, set up and maintain all different kinds of components from Data ingestion to automation.</li>
<li>You have experience with a wide range of tools and technologies within the modern data stack: Kafka, Airflow, Dagster, DBT Core, BigQuery, Lambda functions etc..</li>
<li>You have experience with general infrastructure / DevOps management technologies: ArgoCD, Kubernetes, Docker, Github, Postgres, GCP etc..</li>
<li>You always thrive for applying data engineering best practices: consistency checks, testing data reliability, monitoring on top of ingestion pipelines, no double business logic in the code.</li></ul><br>
<p></p>
<p><b>
ABOUT TECHNOLOGY:</b></p>
<ul>
<li>Kubernetes running on Google Cloud, ArgoCD, Terraform</li>
<li>PostgreSQL</li>
<li>Aiven Kafka Connect, Strimzi, Debezium</li>
<li>DBT cloud, GCP, BigQuery, Fivetran</li>
<li>We use Go for our API, core logic, and internal tooling</li>
<li>Cypress for automated end-to-end testing</li>
<li>Other odds &amp; ends in JavaScript and shell script</li></ul><br>
<p></p>
<div><b>
WHAT'S IN IT FOR YOU:</b></div>
<ul><li>A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin</li>
<li>Leaders with 8+ years of experience building our promotions engine</li>
<li>&euro;1,000 annual learning budget and free German language courses to boost your skills</li>
<li>30 days of annual leave, plus extra paid days for your birthday and moving day</li>
<li>Home office setup budget, a monthly home office allowance</li>
<li>Freedom to work from abroad for up to 90 days worldwide!</li>
<li>Mental health support with nilo.health and a discounted Urban Sports Club membership</li>
<li>20% company subsidy on your pension contributions</li>
<li>Subsidised BVG public transport ticket and a dog-friendly Berlin office where your furry friend is welcome</li>
<li>Lease your ideal bike through BusinessBike</li></ul></div><p></p>

THRYVE

<div>
 <p>
  <strong>
   Product Engineer (Full Stack/AI) Berlin | On-site/Hybrid
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're partnering with an ambitious health-tech startup building AI-powered software that helps clinicians make better decisions and improve patient outcomes, working on one of the hardest and most meaningful challenges in healthcare: turning complex clinical data into products that help medical teams identify risk earlier, intervene faster, and ultimately improve lives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're looking for a strong engineer who wants to own products, not tickets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll work across backend, frontend, AI integrations, and product strategy, taking features from idea to production. You'll collaborate directly with founders, designers, clinicians, and engineers to solve complex technical problems and ship software that genuinely matters.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Work On
  </strong>
 </p>
 <ul>
  <li>
   Building production-grade AI features and workflows
  </li>
  <li>
   Designing scalable backend systems and APIs in Python
  </li>
  <li>
   Developing modern React/TypeScript applications
  </li>
  <li>
   Integrating machine learning models into real-world products
  </li>
  <li>
   Working with complex, high-value healthcare data
  </li>
  <li>
   Improving reliability, observability, testing, and engineering quality across the platform
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We're Looking For
  </strong>
 </p>
 <ul>
  <li>
   Strong software engineering fundamentals
  </li>
  <li>
   Professional experience with Python and React/TypeScript
  </li>
  <li>
   Product-minded engineers who enjoy understanding user problems
  </li>
  <li>
   Builders who take ownership and thrive in small, high-performing teams
  </li>
  <li>
   Engineers excited by AI-enabled products and difficult technical challenges
  </li>
  <li>
   M.Sc. in a STEM field
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice To Have
  </strong>
 </p>
 <ul>
  <li>
   Experience with AI/ML systems
  </li>
  <li>
   Cloud infrastructure and DevOps experience
  </li>
  <li>
   Exposure to healthcare, regulated software, or data-intensive products
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join?
  </strong>
 </p>
 <ul>
  <li>
   Build technology with real-world impact
  </li>
  <li>
   Work directly with exceptional founders and engineers
  </li>
  <li>
   Own major product initiatives end-to-end
  </li>
  <li>
   Solve technically challenging problems at the intersection of software, AI, and healthcare
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you're the kind of engineer who enjoys moving quickly, taking ownership, and building products from the ground up, we'd love to hear from you.
 </p>
</div>


Full Stack Engineer

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