big data engineer

smartclip

<div>
 <p>
  <strong>
   Remote in our day-to-day work. On-site when it matters.
  </strong>
 </p>
 <p>
  We work remote by default &ndash; focused, efficient, and with full ownership. For larger features, architectural decisions, and real brainstorming sessions, we come together in Berlin &ndash; fast, hands-on, and without unnecessary meeting overhead.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We use AI to accelerate &ndash; not to replace thinking.
  </strong>
 </p>
 <p>
  <strong>
   We design the system, steer the output, and take responsibility for what we ship.
  </strong>
 </p>
 <p>
  <strong>
   Fast where it makes sense. Careful where it matters.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your mission
  </strong>
 </p>
 <p>
  Join our team at smartclip as a
  <strong>
   Software Engineer, Data Platforms
  </strong>
  . You will design and build the engines that process, transform, and refine terabytes of TV and advertising data every single day. Your goal is to ensure our data platform is scalable, resilient, and cutting-edge.
 </p>
 <ul>
  <li>
   <strong>
    Engineer Scalable Platforms:
   </strong>
   Design and implement technical solutions for Big Data applications in an agile, high-performance environment.
  </li>
  <li>
   <strong>
    Optimize Data Flows:
   </strong>
   Continuously develop and refine our data aggregation pipelines (TV data, advertising, and forecasting) primarily based on Spark and Scala.
  </li>
  <li>
   <strong>
    Cloud-Native Deployment:
   </strong>
   Host, manage, and scale your solutions using Docker and Kubernetes within the AWS cloud.
  </li>
  <li>
   <strong>
    Champion Quality:
   </strong>
   Lead the way in test automation &ndash; from unit tests to complex integration tests. For us, Test Driven Development (TDD) is the only way to build reliable systems.
  </li>
  <li>
   <strong>
    Tech Exploration:
   </strong>
   Evaluate new frameworks and tools, share your findings with the team, and help us stay at the forefront of Big Data technology.
  </li>
 </ul>
 <p>
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 </p>
 <p>
  <strong>
   Your skills
  </strong>
 </p>
 <p>
  <strong>
   You are a software engineer at heart
  </strong>
  who loves the challenge of massive scale &ndash; you turn the complexity of terabytes of data into elegant, efficient code.
 </p>
 <ul>
  <li>
   <strong>
    Engineering Background:
   </strong>
   You have a solid track record in software engineering, with a strong focus on JVM languages (Scala/Java) and/or Python.
  </li>
  <li>
   <strong>
    Big Data Expertise:
   </strong>
   You are experienced with Spark, Hadoop, or similar distributed systems. Experience with Trino, Flowman, or Delta Lake will make you stand out.
  </li>
  <li>
   <strong>
    Infrastructure Knowledge:
   </strong>
   You are comfortable with CI/CD, Docker, Kubernetes, and AWS.
  </li>
  <li>
   <strong>
    Quality Mindset:
   </strong>
   You don&rsquo;t ship without tests. You value efficiency, clean architecture, and pragmatic solutions.
  </li>
  <li>
   <strong>
    Open Source Advocate:
   </strong>
   You love the freedom and transparency of open-source software (you won't find any closed-source or Microsoft stacks here).
  </li>
  <li>
   <strong>
    Mindset:
   </strong>
   A "let's figure it out" attitude, a hands-on mentality, and fluency in German and English.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why you&rsquo;ll love working with us
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Ownership over tickets:
   </strong>
   You&rsquo;re trusted with real responsibility, not just tasks. No unnecessary bureaucracy, no micromanagement &ndash; we rely on you to take things forward.
  </li>
  <li>
   <strong>
    Build &gt; Talk:
   </strong>
   We test what works &ndash; not what sounds good. Fail fast, learn faster.
  </li>
  <li>
   <strong>
    High standards, low ego:
   </strong>
   We take our work seriously, but not ourselves. Direct feedback, honest collaboration, no drama.
  </li>
  <li>
   <strong>
    Stay sharp:
   </strong>
   Hackathons, conferences, community &ndash; we invest in your growth and keep you at the cutting edge.
  </li>
  <li>
   <strong>
    And yes &ndash; the fundamentals are covered too:
   </strong>
   30 days of vacation + Dec 24 &amp; 31 off, Smart Fridays (4 days week possible), mobility (Germany ticket &amp; JobRad), sports &amp; health offerings, mental health support, corporate benefits, RTL+ access, and more.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your CV is just the starting point.
  </strong>
 </p>
 <p>
  What matters more to us than your resume: a portfolio, a side project, a demo repo &ndash; anything that shows you don&rsquo;t just talk about code, you ship it. Production-ready. Thought through. Done.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Welcome to smartclip! We&rsquo;re just your average group of techies, you know, trying to keep the internet open and defend the European TV industry from Silicon Valley&rsquo;s giants. Join us!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About smartclip
  </strong>
 </p>
 <p>
  smartclip is the adtech development unit of RTL Group &mdash; Europe&rsquo;s leading free-to-air broadcaster group. Our proprietary advertising technology is custom-built for the needs of European broadcasters and publishers &mdash; enabling media owners to implement smarter monetisation strategies. We are committed to delivering the most innovative ad experiences spanning in-stream, out-stream, addressable TV, connected TV, audio, and gaming &mdash; ultimately empowering brands with true cross-screen storytelling opportunities on all devices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  For more information: Please visit www.smartclip.tv and follow us on LinkedIn.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Berlin or Hybrid (max. 3 hours travel time to Berlin)
 </p>
</div>


Software Engineer (f/m/d) – Data Platforms

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>
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 </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)

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)

Enpal

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

Data Engineer (f/m/x)

<div><h2 class="jobSectionHeader"><b>About the Opportunity</b></h2>
<p>
We are seeking a Junior Backend Engineer to join the Data Ingestion Team within the Platform Engineering Domain. This is an exciting opportunity for an early-career engineer to grow their skills building high-throughput data processing systems.</p>
<p>
Platform Engineering's mission is to provide trusted, performant, and self-service platforms. As part of this, the Data Ingestion team is responsible for building and maintaining the pipelines that power our bank's data ecosystem, focusing on reliability, scalability, and clean engineering practices.</p>
<p>
The ideal candidate is an eager learner who is excited to dive into new technologies and solve technical challenges with the support of a senior team. We value engineers who are self-driven, seek constructive feedback, and thrive in a collaborative environment that prizes technical growth.</p>
<h2 class="jobSectionHeader"><b>
In this role, you will:</b></h2>
<ul><li>Software Development: Work under the guidance of senior engineers to develop and maintain backend services for our data ingestion platform.</li>
<li>Engineering Support: Support the team in applying strong engineering practices including writing automated tests, participating in code reviews, and maintaining observability.</li>
<li>Proactive Learning: Proactively ask questions, propose small improvements, and collaborate with the team to deliver clean, testable code for our platform services.</li>
<li>Knowledge Sharing: Participate in technical discussions, contribute to internal documentation, and help us maintain a transparent knowledge base.</li>
<li>Development Contribution: Contribute to infrastructure development tasks and participate in technical demos to showcase your work.</li>
<li>Shadow and Respond: Shadow on-call rotations and assist in troubleshooting efforts to learn incident response protocols.</li>
<li>Observability Support: Learn to maintain and use observability solutions (metrics, logging, tracing) to help the team track platform SLOs and availability.</li>
</ul><h2 class="jobSectionHeader"><b>What you need to be successful</b></h2>
<h3 class="jobSectionHeader"><b>Background and Skills:</b></h3>
<ul><li>Strong foundational backend skills, with a preference for Kotlin or Java, and a willingness to adapt to the language best suited for the task.</li>
<li>Exposure to data storage solutions such as PostgreSQL, RDS, or S3.</li>
<li>Basic knowledge of containers (Docker) and an eagerness to learn Kubernetes.</li>
<li>Exposure to infrastructure as code concepts (Terraform or similar).</li>
<li>Interest in learning CI/CD pipelines and modern automation tools.</li>
<li>Understanding of testing pyramids and experience writing unit and integration tests.</li>
<li>Familiarity with at least one observability/monitoring tool (e.g., DataDog, Prometheus, or Grafana).</li>
</ul><h3 class="jobSectionHeader"><b>Nice to have:</b></h3>
<ul>
<li><p>Working experience in scale-ups within platform teams.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Traits:</b></h3>
<ul><li>Excellent collaboration and communication skills, with the ability to work across teams.</li>
<li>You enjoy taking tasks from start to finish and keeping the team updated on your progress.</li>
<li>A keen interest in understanding how to build high-quality, scalable, and secure infrastructure.</li>
<li>Eagerness to learn and contribute to building platforms as products.</li>
<li>A proactive approach to problem-solving, a desire to learn, and an appreciation for clean code.</li>
</ul><h2 class="jobSectionHeader"><b>What's in it for you:</b></h2>
<ul><li>Accelerate your career growth by joining one of Europe's most talked about disruptors.</li>
<li>Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness &amp; wellness memberships, language apps and public transportation.</li>
<li>Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. <i>Some roles may require additional in-office presence</i>.</li>
<li>As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
</li><li>Additional day of annual leave for each year of service.
</li><li>A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds.</li>
</ul><h2 class="jobSectionHeader"><b>Who we are</b></h2>
<p>
N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use.</p>
<p>
We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.</p>
<p>
We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.</p>
<p><b>
Sounds good? Apply now for this position.</b></p>
<p><b>
Equal Opportunities:</b></p>
<p>
We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.</p>
<p>
We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com.</p>
<p>
Visit our website to learn more about Diversity, Equity, &amp; Inclusion at N26.</p></div>

Junior Backend Engineer - Data Ingestion

Simon-Kucher

<div>
 <strong>
  In Deutschland
 </strong>
 - Berlin | Bonn | Frankfurt/Main | Hamburg | K&ouml;ln | M&uuml;nchen
 <br/>
 <br/>
 Du willst Praxiserfahrung in einer internationalen Unternehmensberatung sammeln? Bei uns kannst du dein Interesse an Wirtschaftsthemen mit deinen analytischen F&auml;higkeiten verbinden! Werde f&uuml;r mindestens 10 Wochen Teil eines au&szlig;ergew&ouml;hnlichen Teams. Was uns besonders macht: ein starker Unternehmergeist und jede Menge Gestaltungsfreiheit.
 <br/>
 <br/>
 Der Advanced Analytics Bereich bei Simon-Kucher konzentriert sich auf die Entwicklung von Best-in-Class-Ans&auml;tzen und -Modellen, um mit Hilfe von Machine Learning und Advanced Analytics komplexe Gesch&auml;ftsprobleme zu l&ouml;sen. Bei uns wirst du ein integraler Bestandteil der Projektteams sein, die das Wachstum unserer Kunden vorantreiben. W&auml;hrend deines Praktikums wirst du von unseren erfahrenen Kolleg:innen unterst&uuml;tzt und sammelst themenbezogene praktische Erfahrung.
 <br/>
 <br/>
 Der fr&uuml;hestm&ouml;gliche Starttermin ist ab Oktober 2026.
 <br/>
 <br/>
 <strong>
  Mehr Von Uns F&uuml;r Dich
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Von Anfang an mit dabei: als fester Bestandteil eines Projektteams arbeitest du an spannenden Fragestellungen und nachhaltigen Wachstumsstrategien f&uuml;r unsere Kunden. In einem schnell wachsenden internationalen Unternehmen mit Start-up-Atmosph&auml;re kannst du eine steile Lernkurve erwarten.
  </li>
  <li>
   Pers&ouml;nliche Weiterentwicklung: profitiere von regelm&auml;&szlig;igen Feedbackgespr&auml;chen und bringe deine individuelle Perspektive in unsere Unternehmenskultur ein. Zus&auml;tzlich erh&auml;ltst du einen einj&auml;hrigen kostenfreien Zugang zu LinkedIn Learning, den du auch nach deinem Praktikum nutzen kannst.
  </li>
  <li>
   Du hast die Wahl: entscheide dich f&uuml;r eines unserer deutschen Offices
  </li>
  <li>
   Gut umsorgt: mit gesunden Snacks und Getr&auml;nken in unseren Offices
  </li>
  <li>
   Easy von A nach B: profitiere von unserem monatlichen Zuschuss f&uuml;r deine (private) Mobilit&auml;t, nutzbar f&uuml;r Taxi, Bahn, Carsharing u.v.m.
  </li>
  <li>
   Gemeinsam feiern: vernetze dich bei regelm&auml;&szlig;igen Mitarbeitenden-Events mit unseren Kolleg:innen
  </li>
  <li>
   Dein Praktikum als Karrierestart: M&ouml;glichkeiten zum Festeinstieg nach deinem Praktikum
  </li>
  <li>
   Gemeinsam wachsen: Nachhaltig und langfristig! Darum dreht sich alles bei Simon-Kucher. Unsere St&auml;rke: ein mitrei&szlig;endes, hoch motiviertes und sympathisches Team. Und jetzt kommst du: mitten hinein in die offene, wertsch&auml;tzende Start-up-Atmosph&auml;re eines etablierten Unternehmens mit 40-j&auml;hriger Erfolgsgeschichte.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Hier Bewegst Du Was
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Gemeinsam im Team entwickelst du datenbasierte L&ouml;sungen f&uuml;r vielf&auml;ltige Fragestellungen und nutzt dabei gro&szlig;er Datenmengen als Grundlage.
  </li>
  <li>
   Dar&uuml;ber hinaus bist du ma&szlig;geblich an der Implementierung datenbasierter L&ouml;sungen beteiligt, um unseren Kunden einen echten Mehrwert zu verschaffen.
  </li>
  <li>
   Du arbeitest in unserem interdisziplin&auml;ren Team aus Data Scientists und Data Engineers an der Entwicklung von Dashboards und Data Pipelines f&uuml;r interne und externe Kunden.
  </li>
  <li>
   Du ber&auml;tst unsere Kunden bei technologischen Entscheidungen (z.B. wie man robuste ETL-Prozesse und Datenvisualisierungen konzipiert, implementiert und automatisiert).
  </li>
  <li>
   Du unterst&uuml;tzt unsere Kunden bei der Realisierung von Data Strategy, Data Governance und Data Processing Projekten.
  </li>
  <li>
   Du arbeitest an aktuellen Fragestellungen im Zusammenhang mit Chatbots, GenAI und Machine Learning.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Hiermit Begeisterst Du
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Du studierst z.B. (Wirtschafts-) Informatik, Ingenieurwesen, (Wirtschafts-) Mathematik oder &auml;hnliches.
  </li>
  <li>
   Der Umgang mit Python und/oder SQL bereitet dir keinerlei Schwierigkeiten.
  </li>
  <li>
   Du hast bereits erste Erfahrung im Arbeiten mit gro&szlig;en Datenmengen gesammelt und bist in der Lage, komplexe Datenbanken aufzubauen und zu pflegen.
  </li>
  <li>
   Idealerweise bringst du auch erste Erfahrungen in der Automatisierung von ETL-Prozessen mit.
  </li>
  <li>
   Du verf&uuml;gst &uuml;ber Grundkenntnisse im Umgang mit relationalen Datenbanken und BI-Software (PowerBI, Tableau).
  </li>
  <li>
   Du lernst schnell, bist von Natur aus wissbegierig und besitzt die F&auml;higkeit, komplexe Sachverhalte einfach zu erkl&auml;ren.
  </li>
  <li>
   Deine Englisch- und Deutschkenntnisse sind verhandlungssicher.
   <br/>
   <br/>
  </li>
 </ul>
 Du willst dich gleich bei uns bewerben? Dann schick deine Unterlagen &uuml;ber den &bdquo;Apply now&ldquo;-Button zu uns. Bitte beachte, dass wir aus Datenschutzgr&uuml;nden keine Bewerbungen per E-Mail annehmen k&ouml;nnen. Alle wichtigen Informationen rund um deine Bewerbung findest du in unseren FAQs .
 <br/>
 <br/>
 Du willst mehr &uuml;ber uns und unsere Unternehmenskultur erfahren? Hier geht&rsquo;s zu unserem Recruiting Video .
 <br/>
 <br/>
 <strong>
  &Uuml;ber Simon-Kucher
  <br/>
  <br/>
 </strong>
 Simon-Kucher ist eine globale Unternehmensberatung mit mehr als 2.200 Mitarbeitenden in &uuml;ber 30 L&auml;ndern. Unser Fokus liegt darauf, nachhaltiges und profitables Wachstum zu erschlie&szlig;en und f&uuml;r unsere Kunden messbare Umsatz- und Ergebnissteigerungen zu realisieren. Als verl&auml;sslicher Partner f&uuml;r Commercial Excellence verbinden wir tiefgehende Beratungsexpertise mit Spezialisierung auf Wachstumsstrategien und technologischer Expertise, um nachhaltige Wertsteigerung zu erm&ouml;glichen. Wir optimieren s&auml;mtliche Hebel der kommerziellen Strategie &ndash; von Produkt, Pricing und Innovation bis hin zu Marketing, Vertrieb und digitalen Gesch&auml;ftsmodellen &ndash; auf Basis fundierter Erkenntnisse zu Kundennutzen und Zahlungsbereitschaft. Mit &uuml;ber 40 Jahren Erfahrung in der Monetarisierung gelten wir als weltweit f&uuml;hrende Beratung f&uuml;r Commercial Growth und Pricing. simon-kucher.com
 <br/>
 <br/>
 Wir setzen uns f&uuml;r eine Unternehmenskultur ein, die Diversit&auml;t, Gleichstellung und Inklusion f&ouml;rdert &ndash; und damit ein Umfeld der Anerkennung, das individuelle Entfaltung st&auml;rkt und den Beitrag eines jeden Einzelnen w&uuml;rdigt. So k&ouml;nnen wir weitreichende und positive Ver&auml;nderungen bewirken. Wertsch&auml;tzung und Anerkennung bef&auml;higen uns dazu, schneller zu wachsen, innovativer zu arbeiten und nachhaltigere Ergebnisse f&uuml;r alle zu erzielen &ndash; f&uuml;r unsere Teams, unsere Kunden und unser Unternehmen.
 <br/>
 <br/>
 <br/>
 <br/>
 <strong>
  Deine Pers&ouml;nliche Ansprechpartnerin
  <br/>
  <br/>
 </strong>
 Sina Gassen
 <br/>
 <br/>
 recruitment.germany(at)simon-kucher.com
 <br/>
 <br/>
 Bitte reiche deine Bewerbung ausschlie&szlig;lich &uuml;ber den
 <strong>
  &ldquo;Apply now&rdquo;-Button ein!
  <br/>
  <br/>
 </strong>
 <strong>
  Better growth starts here. With you.
 </strong>
</div>


Praktikum Data Engineer im Bereich Advanced Analytics (m/w/d)

REPLY

<div><div><p>Aufgaben</p><div><p><b>
Als Consultant Data Engineer (m/w/d) gestaltest du die datengetriebene Zukunft unserer Kunden aktiv mit.</b><br>
Du entwickelst moderne Datenl&ouml;sungen und innovative Datenprodukte, die Unternehmen dabei unterst&uuml;tzen, fundierte und nachhaltige Entscheidungen zu treffen. Dabei &uuml;bernimmst du unter anderem folgende Aufgaben:</p><ul><li>
Du konzipierst und implementierst leistungsstarke, skalierbare Datenarchitekturen und -produkte und bringst diese erfolgreich in den Einsatz.</li><li>
Du entwickelst und optimierst Datenpipelines f&uuml;r die Integration und Transformation unterschiedlichster Datenquellen &ndash; unter Einsatz moderner Technologien wie SQL, Python, dbt, Snowflake, Databricks sowie f&uuml;hrender Cloud-Plattformen (AWS, Azure, Google Cloud).</li><li>
Du arbeitest eng mit unseren Kunden zusammen, analysierst fachliche und technische Anforderungen und &uuml;bersetzt diese in ma&szlig;geschneiderte Data-Engineering-L&ouml;sungen mit echtem Mehrwert.</li><li>
In einem interdisziplin&auml;ren Team bringst du deine Ideen ein, gestaltest innovative L&ouml;sungen und tr&auml;gst aktiv zu einer offenen, kollaborativen Unternehmenskultur bei.</li></ul><p><b>
Bei uns hast du die M&ouml;glichkeit, Verantwortung zu &uuml;bernehmen, deine Expertise weiterzuentwickeln und echten Impact zu schaffen.</b></p></div></div><div><p>
Benefits</p><ul><div><div><div>
10 TAGE ZUR WEITERBILDUNG</div></div></div><div><div><div>
GUTE WORK-LIFE-BALANCE</div></div></div><div><div><div>
EGYM WELLPASS</div></div></div><div><div><div>
INNOVATIVES ARBEITSUMFELD</div></div></div></ul><div><ul><li><b>
Buddy-Programm:</b> Dein Buddy unterst&uuml;tzt dich beim Onboarding und hilft dir, dich schnell im Team und in unserer Unternehmenskultur zurechtzufinden</li><li><b>
Hybrides Arbeiten:</b> Eine individuell abgestimmte Mischung aus Remote Work, B&uuml;ropr&auml;senz und Eins&auml;tzen beim Kunden</li><li><b>
Innovation &amp; Vielfalt:</b> Bundesweite, branchen&uuml;bergreifende Projekte mit klarem Fokus auf Data &amp; AI</li><li><b>
Modernes Setup:</b> Hochwertige Hardware nach Wahl sowie ein internationales, teamorientiertes Arbeitsumfeld mit flachen Hierarchien und starkem Teamzusammenhalt</li></ul></div></div><div><p>
Qualifikationen</p><div><ul><li><b>
Abgeschlossenes Studium</b> z. B. in (Wirtschafts-)Informatik, Data Science oder einem vergleichbaren Studiengang</li><li>
Du hast ein grunds&auml;tzliches Verst&auml;ndnis und Interesse f&uuml;r die Themen <b>Data Products</b> und <b>Datenmodellierung</b></li><li>
Erste Projekterfahrungen in <b>Data Products, Datenmodellierung</b> und/oder <b>Data Warehousing </b>Systemen</li><li>
Erfahrungen mit mindestens eine Programmiersprache <b>(Bestenfalls Python), SQL/NoSQL</b> sowie <b>einer Data-Engineering Technologie / Plattform (dbt, Snowflake, Databricks, etc.)</b></li><li>
Zum Vorteil ist, wenn du Erfahrungen mit <b>Docker, Cloud-Technologien, DevOps-Praktiken</b> und <b>CI/CD-Prozessen</b> hast</li><li>
Du bist ein <b>kommunikativ starker Teamplayer</b>, der in L&ouml;sungen denkt und diese <b>aktiv als Berater</b> anbietet</li><li><b>
Neue Technologien</b> zu lernen ist f&uuml;r dich nicht nur Mittel zum Zweck sondern eine Leidenschaft</li><li>
Sehr gute <b>Deutsch- und Englischkenntnisse</b> runden dein Profil ab</li></ul></div></div><div><p>
Develop yourself and the digital future &ndash; at Reply!</p><div><p>
Reply ist spezialisiert auf die Konzeption und Implementierung von L&ouml;sungen, die auf neuen Kommunikationskan&auml;len und digitalen Medien basieren. Mit einem Netzwerk hoch spezialisierter Unternehmen definiert und entwickelt Reply Gesch&auml;ftsmodelle, die durch KI, Big Data, Cloud Computing, digitale Medien und dem Internet der Dinge erm&ouml;glicht werden. Reply bietet Beratung, Systemintegration und Digital Services f&uuml;r Unternehmen aus den Bereichen Telekommunikation und Medien, Industrie und Dienstleistungen, Banken und Versicherungen sowie &ouml;ffentliche Verwaltung.</p></div></div></div>

CONSULTANT - DATA ENGINEERING (DATA PRODUCTS) (M/W/D)

Explore 113+ Big data engineer in Berlin this July. Find roles across top companies and apply now to boost your career.