senior data engineer

data engineer

data scientist

senior data engineer (m/w/d) Jobs in Berlin

senior data engineer (m/w/d)

software engineer metadata Jobs in Berlin

software engineer metadata

data developer

Solute

<div><div><div><div><ul><li><p>Checkout Charlie GmbH</p></li><li><p>
Berlin</p></li><li><p>
Pr&auml;senz / Mobil</p></li></ul><ul><li><p>
Berufserfahrung</p></li><li><p>
IT</p></li><li><p>
Vollzeit</p></li></ul></div></div></div><div></div><div><div><p>
Du liebst den <b>Umgang mit gro&szlig;en Datenmengen</b> (Big Data) und hast Spa&szlig;, die <b>Automatisierung von Prozessen</b> stetig weiterzuentwickeln und die bestehende Datenlandschaft zu betreuen? Dann bist Du vielleicht genau, wer uns in unserem Team gerade fehlt.</p>
<p>
Checkout Charlie ist das Unternehmen hinter vielen Verbraucher- und Gutscheinportalen, wie Sparwelt.de, Gutscheine.de und shopmate, und ist damit die Schnittstelle zwischen H&auml;ndler:innen und Konsument:innen.</p></div></div><div><h2 class="jobSectionHeader"><b>
Du hast Lust auf:</b></h2><div><ul>
<li><b>Daten-Transformation</b>: Du bringst Daten von unseren Partnern &uuml;ber eine API in unser Data Warehouse &ndash; sauber, strukturiert und performant</li>
<li><b>Prozessautomatisierung</b>: Du entwickelst smarte Automatisierungen, die uns Zeit sparen und Prozesse stabil halten</li>
<li><b>Systemlandschaft betreuen &amp; weiterentwickeln</b>: Du sorgst daf&uuml;r, dass unsere bestehenden Systeme rund laufen &ndash; und machst sie dar&uuml;ber hinaus noch besser</li>
<li><b>Datenmodelle entwickeln</b>: Du modellierst Daten so, dass sie f&uuml;r Analysen und Reports optimal nutzbar sind</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>Das trifft auf Dich zu:</b></h2><div><ul>
<li><b>Python-Expertise</b>: Du hast mehrj&auml;hrige Erfahrung in der Programmierung mit Python und schreibst sauberen Code</li>
<li><b>Datenbank-Kenner</b>: Routine im Umgang mit relationalen Datenbanken (z.B. PostgreSQL, MySQL)</li>
<li><b>Big Data &amp; ETL: Erfahrung </b>mit gro&szlig;en Datenmengen und der Umsetzung von ETL-Prozessen</li>
<li>Praktische Erfahrung in der <b>Implementierung von Dateninfrastrukturen und -pipelines</b></li>
<li><b>Versionskontrolle</b>: sicherer Umgang mit Git</li>
<li><b>Cloud &amp; Container</b>: Kenntnisse in AWS und Docker sind von Vorteil</li>
<li><b>Linux-Alltag</b>: Arbeiten auf Linux-Systemen ist f&uuml;r Dich selbstverst&auml;ndlich</li>
<li>Ein sehr gutes <b>analytisches Denkverm&ouml;gen</b> sowie eine selbstst&auml;ndige, strukturierte und l&ouml;sungsorientierte Arbeitsweise</li>
<li>Eine ausgepr&auml;gte <b>Kommunikations- und Teamf&auml;higkeit</b></li>
<li>Gute <b>Deutsch</b>- und <b>Englisch-Kenntnisse</b> (mind. B2)</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>Und was sonst noch?</b></h2><div><ul>
<li>Ein <b>wertsch&auml;tzendes Miteinander auf Augenh&ouml;he</b>, transparente Entscheidungswege, Gestaltungsfreiraum, Raum f&uuml;r eigene Ideen bei flachen Hierarchien<br>
Brainstorming im Team: Pair-Programming, Code-Reviews</li>
<li><b>Agile Arbeitsweise </b>in selbstorganisierten Teams</li>
<li>Entwicklungsumgebung Deiner Wahl unter <b>Linux </b>und Mitarbeit in der Opensource-Community</li>
<li><b>Lockerer Arbeitsrahmen</b>: Flexible Arbeitszeiten, hybrides Arbeiten sowie Workation</li>
<li><b>Socializing</b>: After-Work, Firmen-/Teamevents, Teilnahme an Sportevents</li>
<li><b>Fit trotz Office-Job?</b> Geht - Dank h&ouml;henverstellbarer Schreibtische, Aktiv-Buffet, Getr&auml;nken und Frischluft-Tanken</li>
<li><b>Entwickle Deine St&auml;rken</b>: fachlich und pers&ouml;nliche Weiterentwicklung, Besuche von Messen &amp; Konferenzen, Learning Days</li>
<li><b>Nachhaltig und gut angebunden</b>: Dienstrad-Leasing, Job-Ticket und kostenfreie Parkpl&auml;tze</li></ul><br>
<p></p>
<p>
Unser Erfolg basiert auf einem starken Teamgeist, gegenseitiger Unterst&uuml;tzung und der Freude daran, gemeinsam zu wachsen.</p>
<p>
Wenn Dich das anspricht, Du im Team durchstarten und Code schreiben willst, der wirklich etwas bewegt sowie nachhaltige L&ouml;sungen schafft, dann lass uns reden!</p>
<p><b>
JOIN US! We're happy to see you.</b></p></div></div><div></div><div><ul><li><div>
Christiane Werner</div></li><li><div>
Head of HR</div></li><li><div>
+49 721 98993-31</div></li></ul></div></div>
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Data Engineer (all genders)

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

Adsquare

<div>
 <br/>
 <p>
  <strong>
   About the Company
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Adsquare, our mission is driven by our core focus:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Passion
   </strong>
   &ndash; Solving complex challenges with great people, tech, and data.
  </li>
  <li>
   <strong>
    Niche
   </strong>
   &ndash; Location Intelligence for Programmatic Advertisers.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our core values are integral to everything we do:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Drive
   </strong>
   : We turn ambition into action to deliver valuable outcomes.
  </li>
  <li>
   <strong>
    Resilience
   </strong>
   : We adapt, persevere, and grow stronger.
  </li>
  <li>
   <strong>
    No BS
   </strong>
   : We value honesty, transparency, and clear communication.
  </li>
  <li>
   <strong>
    Humble
   </strong>
   : We choose modesty over vanity and let results speak for themselves.
  </li>
  <li>
   <strong>
    Moral Compass
   </strong>
   : We do the right thing with fairness, integrity, and respect.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Data Pipeline Ownership
   </strong>
   : Take full accountability for the pipeline lifecycle&mdash;from raw data ingestion to transformation and external delivery&mdash;according to defined SLAs, time, and budget.
  </li>
  <li>
   <strong>
    Architect Scalable Solutions
   </strong>
   : Design and build robust data architectures required to process and transfer terabytes of data.
  </li>
  <li>
   <strong>
    Pipeline Optimization
   </strong>
   : Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling.
  </li>
  <li>
   <strong>
    Engineering Rigor
   </strong>
   : Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code.
  </li>
  <li>
   <strong>
    Data Monitoring
   </strong>
   : Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making.
  </li>
  <li>
   <strong>
    Collaboration &amp; Mentorship
   </strong>
   : Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Programming Mastery
   </strong>
   : Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles.
  </li>
  <li>
   <strong>
    Big Data &amp; PySpark
   </strong>
   : Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg.
  </li>
  <li>
   <strong>
    Advanced Optimization Skills
   </strong>
   : Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles.
  </li>
  <li>
   <strong>
    Database &amp; Storage Architecture
   </strong>
   : Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (NoSQL) databases, and horizontally scalable data warehouses/lakehouses (e.g., Redshift, Snowflake, StarRocks).
  </li>
  <li>
   <strong>
    Cloud Native (AWS)
   </strong>
   : Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch).
  </li>
  <li>
   <strong>
    Infrastructure &amp; Orchestration
   </strong>
   : Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions.
  </li>
  <li>
   <strong>
    Engineering Fundamentals
   </strong>
   : Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines.
  </li>
  <li>
   <strong>
    AI tools
   </strong>
   : Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Compiled Languages
   </strong>
   : Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython).
  </li>
  <li>
   <strong>
    Geospatial Data
   </strong>
   : Experience working with GIS (Geographic Information Systems) and geo-spatial datasets.
  </li>
  <li>
   <strong>
    Data Formats
   </strong>
   : Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance.
  </li>
  <li>
   <strong>
    Streaming Technologies
   </strong>
   : Familiarity with Kafka and Flink.
  </li>
  <li>
   <strong>
    Backend Context
   </strong>
   : Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Pay range and compensation package
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  55,000 - 65,000 euros per year
 </p>
 <p>
  <br/>
 </p>
 <p>
  On top of a competitive package, we offer:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Hybrid work model + remote work from anywhere worldwide up to 3 months/year
  </li>
  <li>
   Individual yearly learning budget of 1,200&euro;
  </li>
  <li>
   30 vacation days per year
  </li>
  <li>
   Urban Sports Club membership
  </li>
  <li>
   Company pension scheme
  </li>
  <li>
   Regular team and company events
  </li>
  <li>
   Latest hardware and all tools you need to thrive
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Equal Opportunity Statement
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are committed to diversity and inclusivity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Apply now!
 </p>
 <p>
  <br/>
 </p>
</div>


Data Engineer (m/f/d)

PERGOLUX

<div>
 As a Data Engineer at
 <strong>
  PERGOLUX
 </strong>
 , you will build and own the data pipelines that enable fast, reliable operational insights across the business. Your work ensures the company can trust its data, automate confidently, and make high-impact decisions in real time. You will join a lean, senior data team where reliability, clarity, and business value&mdash;not technical complexity&mdash;define success.
 <br/>
 <br/>
 At
 <strong>
  PERGOLUX
 </strong>
 , we combine Scandinavian-inspired design with a collaborative, ambitious culture grounded in integrity, innovation, and unity.
 <br/>
 <br/>
 What You&rsquo;ll Do
 <br/>
 <br/>
 <ul>
  <li>
   Build and maintain a dependable ingestion and delivery layer that moves data into Snowflake and feeds operational tools with high accuracy and low maintenance overhead.
  </li>
  <li>
   Own the ingestion backbone across systems such as HubSpot, Klaviyo, Google Ads, and Canary7, selecting the tools and approaches that maximize stability and simplicity.
  </li>
  <li>
   Design monitoring, observability, and alerting that eliminate silent failures and give stakeholders full visibility into data health and freshness.
  </li>
  <li>
   Define pragmatic orchestration patterns that ensure scalable, cost-efficient, and resilient pipelines&mdash;introducing new tooling only when it clearly reduces failure modes or maintenance costs.
  </li>
  <li>
   Lead simplification initiatives within the first 90 days by improving stability, reducing pipeline breaks, and implementing a transparent, well-instrumented data platform.
   <br/>
   <br/>
  </li>
 </ul>
 What You&rsquo;ll Bring
 <br/>
 <br/>
 <ul>
  <li>
   A pragmatic mindset focused on simplicity, reliability, and business value over unnecessary technical complexity.
  </li>
  <li>
   Strong systems thinking and the ability to evaluate downstream impact when designing pipelines and data flows.
  </li>
  <li>
   Fluency in Python, SQL, and Git, with a deep understanding of production-grade data engineering concepts such as data contracts, schema evolution, idempotency, and failure-state management.
  </li>
  <li>
   Ability to create force-multiplying infrastructure that removes ambiguity, eliminates manual work, and accelerates Analytics Engineering workflows.
  </li>
  <li>
   A disciplined approach to protecting platform stability, reducing technical debt, and ensuring predictable, trustworthy data delivery.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive Salary &amp; Bonus Structure &ndash; Your success is rewarded with strong compensation and performance-based bonuses.
  </li>
  <li>
   Real Ownership &ndash; Take meaningful responsibility in your role and directly influence key business outcomes.
  </li>
  <li>
   International Team &ndash; Collaborate with passionate colleagues across Europe, gaining exposure to diverse perspectives and ideas.
  </li>
  <li>
   Outdoor Lifestyle Discounts &ndash; Enjoy exclusive discounts on PERGOLUX products.
  </li>
  <li>
   Fast-Track Career Opportunities &ndash; As we scale quickly, you&rsquo;ll have significant opportunities to grow into senior leadership roles.
  </li>
  <li>
   Team Culture &ndash; Be part of regular team events, retreats, and a culture that celebrates wins&mdash;big and small.
  </li>
  <li>
   Bike Leasing Program &ndash; Benefit from a sustainable and cost-effective bike leasing option to support commuting and an active lifestyle.
   <br/>
   <br/>
  </li>
 </ul>
 How to Apply
 <br/>
 <br/>
 Ready to shape the data foundation of a fast-scaling global brand? Apply through our career channels:
 <br/>
 <br/>
 <strong>
  PERGOLUX LinkedIn
  <br/>
  <br/>
 </strong>
 <strong>
  PERGOLUX Career Page
  <br/>
  <br/>
 </strong>
</div>


Schwarz Digits KG

<p></p><div><div><div><div><ul><li><div><div><h2 class="jobSectionHeader"><b>Standort</b></h2><div><div>
Karl-Liebknecht-Stra&szlig;e 32<br>
10178 Berlin</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Abteilung / Bereich</b></h2><div><div>
IT - Software Engineering</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Einstiegslevel</b></h2><div><div>
Berufserfahrene</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Arbeitsmodell</b></h2><div><div>
Vollzeit/Teilzeit</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Referenznummer</b></h2><div><div>
2794</div></div></div></div></li></ul></div></div></div>
<div><div><div><p>
Schwarz Digits schafft das technologische Fundament f&uuml;r digitale Entscheidungsfreiheit in Europa. Als IT- und Digitalsparte der Schwarz Gruppe entwickeln und verantworten wir einerseits die IT-Infrastrukturen f&uuml;r die Handelssparten Lidl und Kaufland sowie die Schwarz Produktion und PreZero. Gleichzeitig agieren wir als unabh&auml;ngiger Anbieter am externen Markt, um Unternehmen in ganz Europa bei ihrer digitalen Transformation zu unterst&uuml;tzen. Unsere Kernleistungen b&uuml;ndeln wir in den Bereichen Cloud, Cyber Security, Data &amp; AI, Communication und Workspace. Trage auch du zur digitalen Entscheidungsfreiheit in Europa bei.<br>
<br>
Bei uns arbeitest du an der Schnittstelle zwischen Agilit&auml;t und Sicherheit: Du profitierst von den schnellen Entscheidungswegen, genie&szlig;t echte Gestaltungsspielr&auml;ume in deinen Projekten und baust dabei auf das stabile Fundament der Schwarz Gruppe.</p></div></div></div>
<div><div><h3 class="jobSectionHeader"><b>
Deine Aufgaben</b></h3><div><div><ul><li>
Du entwickelst robuste Daten-Pipelines (Python + SQL) f&uuml;r den Betrieb eines Data Warehouse und tr&auml;gst ma&szlig;geblich zur Definition und dem Aufbau eines passenden Datenmodells bei.</li><li>
Du verantwortest den Betrieb unserer Datenplattform, die vielf&auml;ltigen Nutzerkreisen das Treffen von Entscheidungen erm&ouml;glicht.</li><li>
Du &uuml;bernimmst die technische Leitung eines agilen Engineering Teams, das den gesamten Software-Entwicklungs-Lifecycle abdeckt: von Anforderungen, Architektur und Design &uuml;ber Implementierung und Testing bis hin zu Deployment, Operations und Support.</li><li>
Du verantwortest die Architektur, achtest auf Produktqualit&auml;t und identifizierst und reduzierst aktiv technische Schulden.</li><li>
Du hast Kosten, Zeit und Budget der Entwicklung im Blick und triffst datengetriebene und ganzheitliche Entscheidungen.</li><li>
Du leitest ein Core Engineering Team durch den Entwicklungsprozess, etablierst Standards und sorgst f&uuml;r kontinuierliche Prozessverbesserungen.</li><li>
Du bist der erste Ansprechpartner und Sparringspartner f&uuml;r den Product Owner, begleitest die Anforderungsanalyse und tauschst dich mit Key-Usern aus.</li><li>
Du &uuml;bernimmst Verantwortung f&uuml;r die pers&ouml;nliche und fachliche Weiterentwicklung der Software Engineers in deinem Team.</li></ul></div></div></div><div><h3 class="jobSectionHeader"><b>
Dein Profil</b></h3><div><div><ul><li><b>
Erfahrung</b>: Du hast <b>mindestens 4 Jahre professionelle Erfahrung im Data Engineering oder der Softwareentwicklung</b> (au&szlig;erhalb deines Studiums) und bist bereit f&uuml;r eine technische F&uuml;hrungsrolle (oder bringst bereits erste Erfahrungen mit).</li><li><b>
Tech Stack</b>: Du besitzt tiefgreifende, praxiserprobte Kenntnisse im Aufbau und der Verwaltung eines Data Warehouse und der Softwareentwicklung im Backend (Python, o.&auml;.) wie auch im Frontend (Vue, React o. &auml;.).</li><li><b>
Cloud &amp; Architektur</b>: Cloud-native Technologien (Docker, Kubernetes), analytische Datenbanken (BigQuery, Snowflake) und Data Warehousing sind dein t&auml;gliches Handwerkszeug. Du hast ein starkes architektonisches Verst&auml;ndnis (inkl. Design Patterns wie Strategy Pattern, Clean Code, modulare Architekturen).</li><li><b>
Qualit&auml;t &amp; Operations</b>: Automatisiertes Testing, CI/CD, IT-Sicherheit und Best Practices im Deployment sind f&uuml;r dich nicht verhandelbar. Erfahrung mit hoch skalierbaren, Daten-intensiven Systemen ist ein gro&szlig;es Plus.</li><li><b>
Agiles Mindset &amp; Leadership</b>: Du hast eine hohe Eigeninitiative, arbeitest stark datengetrieben und hast Freude daran, Wissen zu teilen und dein Team auf das n&auml;chste Level zu heben.</li><li><b>
Sprachen</b>: Sehr gute Englischkenntnisse; Deutschkenntnisse sind ein Plus (oder die Bereitschaft, diese auszubauen).</li><li><b>
Ausbildung</b>: Abgeschlossenes IT-Studium oder eine vergleichbare Ausbildung mit fundierter Praxiserfahrung.</li></ul></div></div></div></div>
<div><h2 class="jobSectionHeader"><b>Unsere Benefits</b></h2><p></p><div><div><div><p>
</p></div></div></div></div><p></p><div><h2 class="jobSectionHeader"><b>Dein Ansprechpartner</b></h2><div><div><h3 class="jobSectionHeader"><b>
Lara Schlimgen</b></h3><p>
Recruiterin</p><ul><li>
E-Mail:recruiting@mail.schwarz</li></ul></div></div></div>
<div><h2 class="jobSectionHeader"><b>Dein Bewerbungsprozess im &Uuml;berblick</b></h2><div><div><div><div>
1</div><h3 class="jobSectionHeader"><b>
Bewerbung</b></h3></div><div>
Wir lieben die Einfachheit. Bewirb dich schnell und unkompliziert digital, gerne auch ohne Registrierung.</div></div><div><div><div>
2</div><h3 class="jobSectionHeader"><b>
Checkup</b></h3></div><div>
Gemeinsam mit dem zust&auml;ndigen Fachbereich werfen wir einen Blick in deine Unterlagen.</div></div><div><div><div>
3</div><h3 class="jobSectionHeader"><b>
Kennenlernen</b></h3></div><div>
Bei einem ersten Kennenlernen liegt der Fokus sowohl auf deiner Pers&ouml;nlichkeit als auch auf deiner fachlichen Eignung.</div></div><div><div><div>
4</div><h3 class="jobSectionHeader"><b>
Vertragsangebot</b></h3></div><div>
Haben wir uns gegenseitig &uuml;berzeugt? Dann ist dein Arbeitsvertrag digital per Mail auf dem Weg zu dir.</div></div><div><div><div>
5</div><h3 class="jobSectionHeader"><b>
Willkommen</b></h3></div><div>
Dein erster Arbeitstag bei uns steht an und dein individuelles Onboarding im Team startet. Wir freuen uns auf dich!</div></div></div></div>
<div><div><div><h2 class="jobSectionHeader"><b>Diese Stellen k&ouml;nnten auch interessant sein</b></h2></div><p></p><div><p>
</p><div><div><div><p>BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Initiativbewerbung IT Entwicklung</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>SAP ABAP Developer - EWM (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>SAP ABAP Developer (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Solution Architect ServiceNow (Risk Assessment) (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
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BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>(Senior) AI-Assisted Software Engineer (m/w/d) - Fokus Backend (Go / Kotlin)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>SAP ALM Spezialist (m/w/d) - Schwerpunkt Focused Run und Cloud ALM</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Fullstack Engineer Health &amp; Performance (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>SAP ABAP Developer - Gro&szlig;- und Au&szlig;enhandel (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Software Engineer - Fullstack (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div></div></div></div></div><p></p>

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

CuspAI

<div>
 <strong>
  About CuspAI
  <br/>
  <br/>
 </strong>
 CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
 <br/>
 <br/>
 We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
 <br/>
 <br/>
 We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
 <br/>
 <br/>
 <strong>
  We&rsquo;re on the cusp of the on-demand materials era. Join us.
  <br/>
  <br/>
 </strong>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 As we grow, we are seeking a
 <strong>
  Data Engineer
 </strong>
 to play a crucial part in driving our research and development efforts forward.
 <br/>
 <br/>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 As a Data Engineer you will be part of the new team building the infrastructure that underpins and acts as the critical bridge between raw chemical data and our machine learning models.
 <br/>
 <br/>
 <strong>
  Your main focus will be to build the pipeline infrastructure and tooling for data ingestion, moving towards self-serve setup for the scientific team members
 </strong>
 . You'll also be responsible for securing, collecting, cleaning, standardising, and tagging diverse chemical datasets to create high-quality training data for our ML researchers while working closely with our chemistry team to ensure scientific accuracy.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <strong>
  Data Pipeline Development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build robust data pipelines for materials science datasets, experimental results, and computational chemistry outputs.
  </li>
  <li>
   Develop processes to integrate diverse data sources including materials databases, literature, patent filings, and laboratory instruments.
  </li>
  <li>
   Create automated workflows for processing crystallographic data, molecular structures, and materials properties (you don&rsquo;t need to have direct domain experience - we can help bring you up to speed!).
  </li>
  <li>
   Build scalable systems to handle high-throughput computational chemistry calculations and experimental data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Quality &amp; Standardisation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner closely with the scientific and research teams to implement automated quality checks for crystal structure data, chemical compositions, and experimental measurements.
  </li>
  <li>
   Create standardisation protocols for materials nomenclature, units, and measurement conditions.
  </li>
  <li>
   Build monitoring systems to ensure data integrity across all pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will also be working hand in hand with ML researchers to understand data requirements for model training and inference.
  </li>
  <li>
   Partner with materials scientists to ensure accurate representation of domain knowledge in data schemas.
  </li>
  <li>
   Integrate with laboratory automation systems and computational chemistry software.
  </li>
  <li>
   Support real-time data needs for AI-driven materials discovery experiments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must Have Skills and Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that Cusp is building.
  </li>
  <li>
   You&rsquo;re a builder of tools and infrastructure who enjoys making life as easy as possible for the teams, providing self-serve, reliable and scalable ingestion pipelines.
  </li>
  <li>
   You have at least 3+ years experience in data engineering roles, preferably in scientific or research environments - you would be joining as a data engineering subject matter expert who can not only work autonomously but also provide guidance on best practice.
  </li>
  <li>
   High level of proficiency in Python and databases with experience in large-scale data processing - as part of our engineering team you&rsquo;ll be programming regularly, not just scripting.
  </li>
  <li>
   You&rsquo;re an advanced user of workflow orchestration tools (e.g. Airflow, Prefect, Dagster, Flyte or similar).
  </li>
  <li>
   Solid experience with containerisation (Docker, Kubernetes) and CI/CD practices.
  </li>
  <li>
   You have direct experience handling large/complex datasets and are interested in working with scientific packages.
  </li>
  <li>
   You&rsquo;re a fast learner when it comes to new tools/systems.
  </li>
  <li>
   You enjoy (and have experience in) designing systems that scale with growing data volumes and user demands.
  </li>
  <li>
   Understanding and appreciation of DevOps practices is also important.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points (But Not Critical)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You&rsquo;ve worked with data from scientific computing (simulations or experiments).
  </li>
  <li>
   Knowledge of machine learning data requirements and MLOps practices, including pre-processing/processing as part of model training.
  </li>
  <li>
   An academic background in Materials Science, Chemistry, Chemical Engineering, or related field.
   <br/>
   <br/>
  </li>
 </ul>
 Even more bonus points if you have an understanding of crystallography, materials properties, and computational chemistry concepts!
 <br/>
 <br/>
 <strong>
  What we offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A competitive salary: We value and reward impact and growth
  </li>
  <li>
   Equity in CuspAI: You have a stake in the success of the company
  </li>
  <li>
   Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
  </li>
  <li>
   &lsquo;Gold Standard&rsquo; parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
  </li>
  <li>
   Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
  </li>
  <li>
   Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
  </li>
  <li>
   True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
  <br/>
  <br/>
 </strong>
 <strong>
  CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace
 </strong>
 . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
 <br/>
 <br/>
 <strong>
  We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
  <br/>
  <br/>
 </strong>
 <strong>
  Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
  <br/>
  <br/>
 </strong>
</div>


xata

<div><h2 class="jobSectionHeader"><b>About Xata</b></h2><p>
Xata builds Postgres infrastructure for agentic workloads. We let teams spin up isolated database branches in seconds so every AI agent (and every developer) can safely experiment, test, and run workflows against production-like data without putting production at risk.</p><p>
We've raised $35M (Series A led by Index Ventures and Redpoint), backed by founders like Guillermo Rauch (Vercel), Shay Banon (Elastic), and Neha Narkhede (Confluent), with years of runway ahead.</p><p>
We're a remote-first team focused on making branching, data movement, and lifecycle management feel fast and dependable for modern software development.</p><h2 class="jobSectionHeader"><b>
What You'll Be Doing</b></h2><p>
You will join our Backend team and build the core services and infrastructure that power the Xata platform.</p><h3 class="jobSectionHeader"><b>
Backend squads: Data Plane &amp; Control Plane</b></h3><p>
Our Backend team is organized into two (fluid) squads:</p><ul><li><p><b>
Data Plane</b>: the core runtime infrastructure that makes Postgres branches real: storage, replication/data movement, provisioning, orchestration, performance, and reliability.</p></li><li><p><b>
Control Plane</b>: the services and public APIs that manage and expose that infrastructure: user-facing product features, workflows/coordination, and close collaboration with Frontend.</p></li></ul><p>
Depending on team needs and your strengths, you may work primarily in one squad.</p><h3 class="jobSectionHeader"><b>
Our Stack</b></h3><ul><li><p>
Go</p></li><li><p>
PostgreSQL</p></li><li><p>
Kubernetes</p></li><li><p>
AWS &amp; GCP</p></li></ul><h3 class="jobSectionHeader"><b>
In this role, you will</b></h3><ul><li><p>
Design and build core platform capabilities for our Postgres infrastructure.</p></li><li><p>
Develop backend services and APIs that power our hosted and self-hosted offerings.</p></li><li><p>
Work on database branching, storage systems, replication, lifecycle management, and orchestration.</p></li><li><p>
Own projects end-to-end: identify opportunities, propose solutions, implement, deploy, and operate.</p></li><li><p>
Contribute to our growing portfolio of open-source projects, including pgroll, pgstream, and other components of the Xata platform.</p></li><li><p>
Collaborate closely with engineers across backend, frontend, product, and platform teams.</p></li><li><p>
Participate in architecture discussions and technical decision-making.</p></li><li><p>
Participate in on-call rotations and help maintain a reliable platform.</p></li></ul><h2 class="jobSectionHeader"><b>
About You</b></h2><ul><li><p>
You are highly self-directed and thrive in environments with a high degree of ownership. You identify opportunities, propose solutions, and drive projects from idea to production.</p></li><li><p>
Significant experience building backend, infrastructure, or distributed systems software in production environments.</p></li><li><p>
Strong programming skills in Go, C/C++, Java, or similar languages.</p></li><li><p>
Strong understanding of distributed systems concepts (reliability, consistency, concurrency, failure modes).</p></li><li><p>
Experience with cloud infrastructure and technologies such as Kubernetes and Docker.</p></li><li><p>
Familiarity with PostgreSQL and database systems.</p></li><li><p>
Strong written communication skills and the ability to work effectively in a remote environment.</p></li></ul><h3 class="jobSectionHeader"><b>
Nice to Have</b></h3><ul><li><p>
Experience working on database technologies or PostgreSQL internals.</p></li><li><p>
Experience building storage or infrastructure systems.</p></li><li><p>
Experience developing with Rust.</p></li><li><p>
Experience contributing to open-source projects.</p></li><li><p>
Experience building developer tools or platform products.</p></li></ul><h2 class="jobSectionHeader"><b>
Working at Xata</b></h2><ul><li><p>
We're stable. We've raised $35M and have years of runway.</p></li><li><p>
We're remote-first and have more than a decade of experience building distributed teams.</p></li><li><p>
We work asynchronously and keep meetings to a minimum.</p></li><li><p>
You'll have significant autonomy, ownership, and the opportunity to shape both the product and the company.</p></li><li><p>
We're open source at our core and deeply care about our developer community.</p></li><li><p>
Small team, large impact.</p></li><li><p>
Opportunity to shape the future of Postgres infrastructure in the agent era.</p></li><li><p>
Xata is female-founded and has an all-female board of directors.</p></li></ul><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p>
Competitive salary and equity.</p></li><li><p>
30 vacation days (plus local public holidays).</p></li><li><p>
Comprehensive health insurance coverage.</p></li><li><p>
Budget for a co-working space of your choice.</p></li><li><p>
Learning budget for conferences, courses, and books.</p></li><li><p>
Flexibility, autonomy, and impact from day one.</p></li><li><p>
Two company off-sites per year, with partners and children welcome.</p></li><li><p>
Significant opportunities for growth, leadership, and career development.</p></li></ul></div>

Software Backend Engineer (Go/Rust)

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