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full stack engineer

senior data engineer

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

(senior) data engineer (gn) Jobs in Berlin

(senior) data engineer (gn)

senior data engineer gn

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)

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 - Security</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</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Referenznummer</b></h2><div><div>
3940</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 verifizierst Schwachstellen aus automatisierten Web Application Scans mit deinem tiefen Verst&auml;ndnis f&uuml;r Angriffsvektoren, identifizierst False Positives und optimierst kontinuierlich die Scan-Policies.</li><li>
Du nutzt gezielt KI-gest&uuml;tzte Tools sowie Automatisierungsl&ouml;sungen, um Analyseprozesse zu beschleunigen und die Service-Qualit&auml;t stetig zu verbessern.</li><li>
Du stellst sicher, dass moderne Schnittstellen wie REST, GraphQL und SOAP nicht nur oberfl&auml;chlich, sondern tiefgehend und automatisiert auf Schwachstellen gepr&uuml;ft werden.</li><li>
Du gew&auml;hrleistest den stabilen Betrieb von Scans in hybriden Netzwerken (On-Prem &amp; Cloud) ohne Impact auf das Core Business und l&ouml;st technische H&uuml;rden bei Routing oder Firewalls souver&auml;n.</li><li>
Du agierst als Wissens-Multiplikator und Mentor f&uuml;r deine Kollegen, dokumentierst Prozesse nachhaltig und unterst&uuml;tzt so den perspektivischen Ausbau des Teams.</li><li>
Du bewertest bestehende Systeme sowie Abl&auml;ufe hinsichtlich ihrer Aktualit&auml;t und priorisierst deine Aufgaben im Team flexibel nach ihrer Wirkung und Relevanz f&uuml;r das Unternehmen.</li></ul></div></div></div><div><h3 class="jobSectionHeader"><b>
Dein Profil</b></h3><div><div><ul><li>
Du hast eine erfolgreich abgeschlossenes Studium mit Informatik Schwerpunkt und bringst mindesten 3 Jahre Berufserfahrung im Web Application Pentesting mit.</li><li>
Du kommunizierst sicher auf Deutsch (B2-Level) und Englisch (B2/C1-Level).</li><li>
Du &uuml;berzeugst mit tiefem Web-App Scanner &amp; API-Know-how, bist Power-User einschl&auml;giger DAST-Tools und verstehst genau, wie man komplexe Webanwendungen sowie APIs durchleuchtet &ndash; inklusive dem Setup von automatisierten Scans mit Logins/Credentials.</li><li>
Du besitzt tiefgehendes Know-how in der automatisierten Absicherung moderner Schnittstellen (REST, GraphQL, SOAP) und deren tiefgreifender Pr&uuml;fung.</li><li>
Du bringst idealerweise Programmier- und Script-Kenntnisse mit, um manuelle Routinen zu automatisieren und effiziente KI-Workflows zu entwickeln.</li><li>
Du bringst ein grundlegendes Verst&auml;ndnis f&uuml;r (hybride) Infrastruktur, Cloud-Technologien oder Kubernetes mit, um Scanner-Anbindungen und Troubleshooting eigenst&auml;ndig im Team zu l&ouml;sen.</li><li>
Du zeichnest dich durch eine proaktive, serviceorientierte Arbeitsweise aus und hast den Anspruch, dich sowie den Service im Team kontinuierlich weiterzuentwickeln.</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>
Diana Wei&szlig;</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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Application Security Engineer (m/w/d)

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>

Senior Data Engineer

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>

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

Vanilla Steel GmbH

<div><h4 class="jobSectionHeader"><b>Your mission</b></h4><p>
We are a Berlin-based startup transforming how industrial materials are bought and sold across Europe. One of the oldest industries in the world still runs on Excel, PDF and email. We are replacing that with AI that runs the buying and selling workflow end to end, increasing liquidity, speeding up transactions and reducing waste for hundreds of steel and metal distributors.<br>
<br>
We have strong early traction, real enterprise customers and committed investors. We are a lean, technical team scaling our enterprise pilots and building the AI infrastructure underneath them.<br>
<br>
Your job as <b>Senior Product Engineer</b> is to make sure we deliver on that traction and stay ahead. You partner closely with Co-founder Simon, who owns sales; you own that we ship, that enterprise customers succeed, and that the product stays in front. This is a senior, hands-on role with three pillars.<br>
<br>
<b>1. Build and ship with AI</b></p><br>
<ul><li>
Ship production software using AI as a force multiplier &mdash; prototypes, integrations, customer-facing flows &mdash; and get them live, not just specified.</li><li>
Move our AI from assisting people to running the buying and selling workflow as autonomous agents.</li><li>
Integrate our pipeline deep into customer systems and ERPs (SAP, Odoo, Microsoft Dynamics), and design for fast onboarding so a new customer reaches value in days, not months.</li><li>
Our stack: Python, FastAPI, Pydantic AI, Pydantic Logfire, JavaScript/Node, React, GCP, Kubernetes. You won't be expected to master all of it on day one, but you should be comfortable navigating it with AI tooling.</li></ul><b>
2. Lead technical communication with enterprise customers</b><br>
<ul><li>
Own the technical relationship with three to five enterprise customers: run the discovery workshops, scope the work, run first-line UAT, and steer executive, procurement and IT conversations.</li><li>
Translate customer reality into clear build decisions and engineering reality into clear customer expectations. Hold the line on scope when a request will not move the metric that matters.</li><li>
Represent the product credibly to senior stakeholders, and to investors when a customer also sits on our cap table.</li></ul><b>
3. Help build the product org</b><br>
<ul><li>
Drive the shipping cadence: a weekly or biweekly release rhythm with engineering, and sequence delivery against engineering capacity with our Head of Tech.</li><li>
Make the strategic product calls &mdash; what we build next, and what we deliberately do not.</li><li>
As we scale enterprise customers, help grow how the team works and the product function around you.</li></ul><p></p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p>
You are a builder who ships with AI and can run an enterprise customer relationship and help shape how we build. Two non-negotiables: technical capability and product sense. Everything else sits behind those.</p><br>
<ul><li>
Excellent written and verbal communication in English and in <b>German (C1 or C2 must have, native not required)</b>. You can run a technical workshop with a German industrial customer end to end.</li><li><b>
Berlin-based or willing to relocate</b>. The role also includes regular travel to customer sites in Central Germany (~2&ndash;3 days per month).</li><li>
5+ years building product, with at least 2 years in genuinely technical roles (engineering, technical PM at a real engineering company, solutions architect, forward-deployed engineer).</li><li>
Deep LLM/AI experience: you build and ship real software with LLMs and agents in production, not just prototype or chat with them. You can walk us through something you shipped and how you built it. Bonus if you have shipped an agentic or autonomous system.</li><li>
AI coding tools: you use Cursor, Claude Code or comparable as your primary development environment - not occasionally, but as the way you build. This is how you ship independently without engineering support.</li><li>
Strong technical instincts: you read code, evaluate an architecture, and hold your own in a design review with engineering.</li><li>
First-line UAT discipline: you have personally signed off (or rejected) enterprise releases and can describe the framework you used.</li><li>
Comfortable owning several enterprise customers in parallel without dropping balls, and pushing back on scope when needed.</li><li>
Able to simplify complexity and make fast, sound decisions under pressure.</li></ul><b>
Nice-to-have: </b>background in an AI-first company; ERP integrations (SAP, Odoo, Microsoft Dynamics) or procurement / order-management workflows; early-stage or founding-engineer experience, industrial B2B, metals, supply chain or manufacturing experience.<p></p><h4 class="jobSectionHeader"><b>
Why us?</b></h4><p></p><ul><li>
Ownership of named enterprise accounts, judged on outcomes rather than hours.</li><li>
Direct technical impact: you see what you ship in production within weeks.</li><li>
Senior co-founders who are technical operators, not pitch-deck founders. Decisions happen fast.</li><li>
Competitive base, performance bonus, and meaningful equity at a Series A company.</li><li>
Regular travel to customer sites (mainly Central Germany).</li><li>
Subsidised Urban Sports Club membership and Deutschlandticket.</li><li>
Hybrid work format, office in the heart of Prenzlauer Berg, Berlin.</li><li>
Regular team events, company breakfasts and Friday drinks.</li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p></p><p>
We are a Berlin-based startup that has successfully established a leading digital-first trading company for industrial metals across Europe.</p><p>
The multi-billion-euro metal trading industry is operated on Excel, PDF and Email. Our mission is to integrate smart technology and data to drive every decision, transaction, and workflow in the steel industry. Our technologies &amp; services increase liquidity, accelerate transactions, reduce scrapping rates and enhance trading convenience for hundreds of steel and metal distributors across Europe.</p></div><p></p>

Senior Product Engineer

Control Risks

<div><p>As Senior AI Engineer you will own the AI and data layer of the platform. You will design and implement the knowledge graph architecture, build agentic pipelines that enrich entity data through AI web research, and develop the graph interrogation layer that translates natural language compliance questions into structured graph queries.</p><p>
You will work closely with the CTO and a small AI team including a data engineer and a junior AI engineer. You will have significant technical autonomy and direct influence over how the product evolves.</p><p></p><p><b>
Please submit yoru CV in English.</b></p><b><br>
Requirements</b><br>
<br>
What You&rsquo;ll Work On<p><b>
Knowledge graph architecture and implementation</b></p><ul><li>Own and evolve the platform&rsquo;s knowledge graph data model &mdash; entities (Company, Person, Community, Episodic), relationships, and temporal attributes</li><li>Implement and extend custom entity and relationship extraction pipelines using LMs, with structured output validation and confidence scoring</li><li>Use Graphiti (Zep AI&rsquo;s temporal knowledge graph framework) as the memory layer, managing episode ingestion, entity resolution, and graph updates</li><li>Design and enforce graph schema standards, ensuring consistency across data sources and ingestion pipelines</li><li>Build evaluation frameworks to measure extraction quality, entity disambiguation accuracy, and graph coverage</li></ul><p></p><p><b>
Agentic AI pipelines</b></p><ul><li>Design and implement multi-step agentic workflows that orchestrate LLM calls, web search, database lookups, and graph writes</li><li>Integrate AI web search (Tavily, Perplexity, or similar) as a tool within agentic pipelines for real-time entity enrichment</li><li>Build retrieval-augmented generation (RAG) pipelines over the knowledge graph, translating compliance queries into Cypher and natural language answers</li><li>Implement the graph interrogation layer &mdash; a conversational interface for compliance analysts to query the knowledge graph without writing Cypher</li><li>Manage LLM API integrations (Anthropic Claude, Gemini) including prompt engineering, structured outputs, and cost/latency optimisation</li></ul><p></p><p><b>
Data pipelines and integrations</b></p><ul><li>Build and maintain Python-based data ingestion pipelines reading from Databricks, connecting to external APIs (sanctions lists, corporate registries, Polixis, Vantage), and writing to Neo4j</li><li>Implement NER (named entity recognition) and entity disambiguation logic for extracting structured facts from unstructured compliance documents</li><li>Develop topic modelling pipelines to classify extracted facts as knowledge graph relationship attributes</li><li>Integrate with the .NET backend via well-defined HTTP contracts, ensuring the AI layer is independently deployable and testable</li></ul><p></p><p><b>
Research and technical leadership</b></p><ul><li>Stay current with the fast-moving agentic AI and knowledge graph literature &mdash; evaluate new frameworks, models, and techniques for production applicability</li><li>Contribute to architectural decisions with evidence: benchmarks, prototypes, and documented trade-offs</li><li>Maintain Claude Code context files (CLAUDE.md, SKILLS.md) for the AI codebase, enabling AI-augmented development across the team</li><li>Write clear technical documentation in Notion covering design decisions, data models, and operational runbooks.</li></ul><p></p>
What We&rsquo;re Looking For<p><b>
Must-have</b></p><ul><li>3+ years of professional experience in AI/ML engineering, with at least 1 year working on knowledge graphs or graph-based data systems in production</li><li>Hands-on experience with Neo4j &mdash; data modelling, Cypher query writing, schema design, and performance tuning</li><li>Deep familiarity with LLM APIs (OpenAI, Anthropic, or Gemini) &mdash; prompt engineering, structured outputs, function/tool calling, and cost management</li><li>Understanding the trade-offs between LLMs and smaller fine-tuned models (Hugging Face Transformers, sentence-transformers) &mdash; knowing when a purpose-built model outperforms a prompted general one on cost, latency, and accuracy</li><li>Experience building agentic pipelines &mdash; multi-step LLM workflows with tool use, memory, and state management</li><li>Python proficiency &mdash; you write clean, testable Python and understand async patterns for I/O-bound AI workloads</li><li>Experience with RAG architectures &mdash; vector search, hybrid retrieval, and integrating retrieval into LLM-powered applications</li><li>Ability to read and apply AI research papers &mdash; you can take a paper on narrative extraction or entity disambiguation and turn it into a working prototype</li><li>Strong English communication skills &mdash; written and verbal</li></ul><p></p><p><b>
Strong advantage</b></p><ul><li>Direct experience or knowledge with Graphiti (Zep AI) or other temporal knowledge graph frameworks</li><li>Familiarity with entity resolution and disambiguation techniques at scale</li><li>Experience with NER pipelines, topic modelling, or information extraction from compliance or financial documents</li><li>Knowledge of the third-party risk, sanctions screening, or KYC/AML domain</li><li>Experience with Databricks, Delta Lake, or similar data lakehouse platforms</li><li>Exposure to GCP (Vertex AI, Cloud Run, Pub/Sub, Cloud Storage)</li><li>Experience designing evaluation frameworks for LLM-generated structured outputs</li><li>Prior work in a RegTech, FinTech, or compliance-adjacent environment</li></ul><p></p>
What Good Looks Like in This Role<p><b>
We are direct about what we expect. The person who thrives here will:</b></p><ul><li>Treat the knowledge graph data model as the product&rsquo;s most important artefact &mdash; they think carefully about schema decisions and document them</li><li>Read the literature. When evaluating a new approach to entity disambiguation or graph memory, they check what&rsquo;s been published, not just what&rsquo;s on GitHub</li><li>Write evaluation harnesses before scaling pipelines. They know that a pipeline that produces plausible-looking output is not the same as one that produces correct output</li><li>Communicate blockers and trade-offs early. Technical uncertainty is expected &mdash; silence is not</li></ul></div>

Senior AI Engineer

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