senior solutions engineer

Capgemini

<div><div><div><div><p>Wenn du dich f&uuml;r Capgemini entscheidest, w&auml;hlst du ein Unternehmen, in dem du die M&ouml;glichkeit hast, deinen Karriereweg selbst zu gestalten. Du wirst von einem kollaborativen Netzwerk von Kolleg*innen auf der ganzen Welt unterst&uuml;tzt und inspiriert und kannst neu definieren, was m&ouml;glich ist. Schlie&szlig;e dich uns an und unterst&uuml;tze die f&uuml;hrenden Organisationen der Welt, den Wert von Technologie zu erschlie&szlig;en und eine nachhaltigere, inklusivere Welt zu gestalten.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Deine Rolle</b></h2>
</div><div><p>Im Umfeld Financial Services (Banking &amp; Insurance) bauen wir unsere Kompetenzen im Bereich Generative AI, Agentic AI und moderne Cloud-Plattformen weiter aus. Daf&uuml;r suchen wir technologische Expert*innen, die Freude daran haben, neue AI-L&ouml;sungen von der Idee bis in den produktiven Betrieb umzusetzen - eingebettet in bestehende Plattformen, Cloud- und Integrationslandschaften.</p>
<p>Diese Stelle ist in Vollzeit sowie in Teilzeit zu besetzen.</p>
<p>Als AI Solution Architect / Senior Engineer (w/m/d) entwickelst und betreibst du moderne AI-L&ouml;sungen entlang des gesamten Lifecycles:</p>
<ul><li>Du definierst und implementierst technische Best Practices f&uuml;r sichere, performante und kosteneffiziente AI-Architekturen entlang des SDLC.</li>
<li>Du konzipierst, entwickelst und betreibst GenAI- und Agentic-AI-L&ouml;sungen und integrierst diese in Cloud- und Plattformlandschaften.</li>
<li>Du arbeitest hands-on in der Umsetzung: AI Engineering, Backend / API-Entwicklung sowie Cloud- / Platform Engineering.</li>
<li>Du unterst&uuml;tzt Presales‑ und Angebotsphasen (z. B. L&ouml;sungsarchitekturen, technische Konzepte, Demos, Storytelling).</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Dein Profil</b></h2>
</div><div><ul><li>Fundierte Erfahrung in GenAI-Technologien (LLM APIs, Embeddings, RAG, Prompt Engineering, Evaluierung)</li>
<li>Starker Hintergrund in Software Engineering mit Fokus auf Backend, APIs, Microservices oder verteilte Systeme</li>
<li>Praxiserfahrung mit Cloud-Plattformen (AWS, Azure oder GCP) sowie modernen DevOps-Stacks (CI/CD, IaC, Container, Kubernetes)</li>
<li>Know-how in LLMOps (Deployment-Patterns, Versionierung, Testing, Monitoring) f&uuml;r produktive AI-Systeme sowie gutes Verst&auml;ndnis von Security, Skalierbarkeit und Architekturdesign in komplexen, regulierten Umgebungen</li>
<li>Projektabh&auml;ngige Reisebereitschaft sowie sehr gute Deutsch- und Englischkenntnisse</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Was du bei uns sch&auml;tzen wirst</b></h2>
</div><div><ul><li>Wir legen gro&szlig;en Wert auf die Vereinbarkeit von Arbeit und Privatleben. Deshalb hast du bei uns die M&ouml;glichkeit, <b>hybrid</b> aus dem Office, von zu Hause oder an anderen Capgemini Standorten in Deutschland zu arbeiten. Gleichzeitig bietet Capgemini dir<b> </b>flexible Arbeitszeitmodelle.</li>
<li>Wir bieten dir vielf&auml;ltige M&ouml;glichkeiten zur Weiterentwicklung: Unser Karrieremodell erm&ouml;glicht es dir, deine Karriere so zu lenken, wie es f&uuml;r dich am besten ist und unsere Leadership Programme unterst&uuml;tzen dich dabei. Mit zahlreichen Angeboten auf unserer Lernplattform hast du zudem jederzeit die M&ouml;glichkeit, deine Skills auszubauen oder dir neue anzueignen.</li>
<li>Unsere Communitys: Wir bieten dir aktive Mitarbeiternetzwerke, in denen du dich sowohl fachlich als auch pers&ouml;nlich mit Kolleg*innen aus aller Welt austauschen kannst. Zudem f&ouml;rdern unsere Communitys Vielfalt, Diversit&auml;t und Inklusion am Arbeitsplatz.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Deine Benefits</b></h2>
</div><div><ul><li>Flexible Arbeitszeit- und Auszeitmodelle</li>
<li>Mobiles Arbeiten &ndash; auch hybrid von Zuhause aus</li>
<li>Jobfahrrad-Programm</li>
<li>Mobilit&auml;tsbudget</li>
<li>Vielf&auml;ltiges Weiterbildungsangebot</li>
<li>Internationales Netzwerk</li>
<li>Kooperation mit dem pme Familienservice</li>
<li>Deferred Compensation &ndash; im Alter gut abgesichert</li>
<li>Verl&auml;ngerte Entgeltfortzahlung im Krankheitsfall</li>
<li>Gesundheitsangebote</li>
<li>Attraktiver Arbeitsplatz f&uuml;r Menschen mit Handicap</li>
<li>Kontakthalteprogramm fareWelcome!</li>
<li>Work-life-balance</li>
<li>Mitarbeiterrabatte</li>
<li>Team- und Sportevents</li>
</ul><p><i>S&auml;mtliche in der Anzeige genannten Nebenleistungen geben lediglich einen ersten &Uuml;berblick ohne Anerkennung einer Rechtspflicht. Sie richten sich nach den jeweils g&uuml;ltigen Betriebsvereinbarungen, Policies, betrieblichen Regelungen und Anspruchsvoraussetzungen zum Zeitpunkt des Eintritts in das Unternehmen.</i></p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Bewirb dich jetzt</b></h2>
</div><div><p>F&uuml;r den ersten Schritt in Richtung Zukunft brauchst du nur drei Minuten Zeit und deinen aktuellen Lebenslauf.</p>
<p>Bitte sende keine Bewerbungen per E‑Mail. Bewerbungen werden ausschlie&szlig;lich &uuml;ber unser Online‑Bewerbungssystem entgegengenommen. Eingehende Bewerbungen per E‑Mail werden aus Datenschutzgr&uuml;nden ungelesen gel&ouml;scht. Bei Fragen steht dir <b>Alissa T&uuml;rck</b> unter <b>fs.career.de@capgemini.com</b> zur Seite.</p>
<p>Diese Anzeige ist online, solange die Stelle verf&uuml;gbar ist.</p>
<p>Capgemini lebt<b> </b>Vielfalt am Arbeitsplatz. Diversit&auml;t sorgt in unserem Unternehmen f&uuml;r Inspiration und Innovation. Wir freuen uns besonders &uuml;ber Bewerbungen von qualifizierten Talenten, unabh&auml;ngig von Herkunft, Nationalit&auml;t, Geschlecht, Hautfarbe, ethnischer und sozialer Herkunft, Religion, Alter, Behinderung, sexueller Orientierung und Lebensphase.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Mehr Infos</b></h2>
</div><div><p>Erfahre hier mehr zu unserem <b>Bewerbungsprozess</b> und erhalte Tipps f&uuml;r deine Bewerbung. Steig jetzt bei Capgemini ein und profitiere von unseren <b>zahlreichen Benefits</b>. Mehr Informationen zu den <b>IT-Berufsfeldern</b> bei Capgemini und unseren <b>Standorten in Deutschland</b> findest du auf unserer Karriereseite: <b>capgemini.de/karriere</b></p>
<p>Informiere dich auf <b>glassdoor</b> und <b>kununu</b><b>, </b>wie unsere Mitarbeiter*innen Capgemini als Arbeitgeber bewerten.</p>
</div></div></div><p>Capgemini ist ein globaler Partner f&uuml;r die KI-gest&uuml;tzte Gesch&auml;fts- sowie Technologietransformation. Das Unternehmen schafft messbaren Mehrwert f&uuml;r seine Kunden, indem es die Zukunft von Organisationen gestaltet und im Zusammenspiel von KI, Technologie sowie dem Mensch Realit&auml;t werden l&auml;sst. Seit fast 60 Jahren steht Capgemini f&uuml;r Verantwortung wie auch Vielfalt und besch&auml;ftigt &uuml;ber 420.000 Mitarbeitende in mehr als 50 L&auml;ndern. Das End-to-End-Leistungsspektrum gr&uuml;ndet auf einer umfangreichen Branchenexpertise, einem starken Partner-&Ouml;kosystem sowie Kompetenzen in den Bereichen Strategie, Technologie, Design, Engineering und Operations. Die Gruppe erzielte 2025 einen weltweiten Umsatz von 22,5 Milliarden Euro.</p></div></div></div></div>

AI Solution Architect / Senior Engineer Financial Services (w/m/d)

ALMETRA

<div><p>We&rsquo;re looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You&rsquo;ll own the full lifecycle of CV systems &mdash; from model integration and orchestration to deployment on cloud and edge environments.</p><h2 class="jobSectionHeader"><b><br>
Your role</b></h2><ul><li><p>
Develop and deploy computer vision models for real-world video and sensor applications</p></li><li><p>
Build reliable training, evaluation and inference pipelines for large-scale data</p></li><li><p>
Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads</p></li><li><p>
Implement CI/CD, versioning and orchestration for ML pipelines</p></li><li><p>
Collaborate with research engineers to transition prototypes into scalable, production-grade systems</p></li><li><p>
Work with robotics and platform teams to ensure robust deployment at the edge</p></li></ul><h2 class="jobSectionHeader"><b>
You are</b></h2><ul><li><p>
5&ndash;7 years experience in computer vision, ML engineering or production AI systems</p></li><li><p>
Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)</p></li><li><p>
Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)</p></li><li><p>
Familiar with distributed training, GPU management and inference optimisation</p></li><li><p>
Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling</p></li><li><p>
Pragmatic engineer &mdash; focused on reliability, reproducibility and maintainability</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><ul><li><p>
Experience deploying CV models on edge devices or embedded systems</p></li><li><p>
Familiarity with TensorRT, quantisation, and real-time inference optimisation</p></li><li><p>
Background in video analytics, action recognition or multi-modal perception</p></li><li><p>
Understanding of model orchestration frameworks and large data pipelines</p></li></ul><h2 class="jobSectionHeader"><b><br>
Why this role matters</b></h2><p><br>
You bridge research and production &mdash; turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.</p><p><b>
What we offer</b></p><p>
Employee Share Options Program for all permanent employees*</p><p>
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.</p><p>
Be on the forefront in defining what artificial intelligence means in manufacturing</p><p>
Gain hands-on experience in working in an AI-first software company
</p><p>Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company</p><p>
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact</p><p>
Network with professionals and leaders in the field, opening doors to potential future career opportunities</p><p>
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours</p><p>
Ethics: We are committed to developing ethical AI software<br>
<br>
<b>Don't meet all the requirements?</b></p><p><i>
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.</i></p><ul><li><br>
<i>Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</i></li></ul><p>
Compensation Range: &euro;80K - &euro;120K</p></div>

Senior Computer Vision Engineer (m/f/d)

Sonova

<div></div><div><div><div><p>Who we are</p><p>
At Sonova, we envision a world where everyone can enjoy the delight of hearing. This vision inspires us and fuels our commitment to developing innovative solutions that improve hearing health and human connection - from personal audio devices and wireless communication systems to hearing aids and cochlear implants. We're dedicated to providing outstanding customer experiences through our global audiological care services, ensuring that everyone has the opportunity to engage fully with the world around them.</p>
<p>Guided by a culture of continuous improvement that fosters resilience and self-motivation, our team is united by a shared commitment to excellence and a deep sense of pride in our work, each of us playing a vital role in creating meaningful change,</p>
<p>Here you&rsquo;ll find a diverse range of opportunities that span both consumer and medical solutions and the freedom to shape your career while making an impact on the lives of others. Join us in our mission to create a more connected world, where every voice is heard and every story matters.</p>
</div></div><div><div><div><div>Berlin, Germany
</div></div></div></div><div><div><div><div><p>Senior Staff Engineer - Digital Marketing (m/f/d)
</p></div></div></div></div><div><div><div><div><div>Berlin/Hybrid</div>
<div></div>
<div>As a Senior Staff Engineer, you&rsquo;ll be the go-to technical expert driving end-to-end solutions that power lead generation and customer acquisition across global markets.</div>
<div>This is a hands-on, high-impact IC role with strong technical leadership and mentoring.</div>
<div></div>
<div><b>Your responsibilities</b></div>
<div></div>
<ul><li><div>Design and implement scalable tech solutions end-to-end</div>
</li><li><div>Act as the bridge between Marketing and Engineering, translating ideas into real systems</div>
</li><li><div>Build and optimize customer acquisition platforms, tracking, attribution, and CRM integrations</div>
</li><li><div>Improve DevOps, automation, and infrastructure (GCP, Terraform, GitHub)</div>
</li><li><div>Support UI/UX improvements &amp; A/B testing</div>
</li><li><div>Mentor engineers and help the team move faster and work smarter</div>
</li><li><div>Balance multiple requests, challenge priorities, and drive pragmatic decisions</div>
</li>
</ul><div></div><div><b>Your Profile</b></div>
<div></div>
<ul><li><div>10+ years in Software Engineering (end-to-end systems) and proven tech leadership experience</div>
</li><li><div>Strong hands-on coding: JavaScript + Python</div>
</li><li><div>Solid experience with cloud (GCP/AWS) + Infrastructure as Code (Terraform)</div>
</li><li><div>Proven experience working at the intersection of Marketing &amp; Tech</div>
</li><li><div>Understanding of lead generation, tracking, attribution, and CRM integrations</div>
</li><li><div>Experience driving complex projects independently in fast-paced environments</div>
</li><li><div>Ability to simplify complexity and influence non-technical stakeholders</div>
</li>
</ul><div></div><div><b>Why join us</b></div>
<div></div>
<div>As one of the world&rsquo;s leading hearing care providers headquartered in Switzerland, we&rsquo;re committed to building an inclusive culture. We want to create an environment where you can balance a successful career with your commitments and interests outside of work, through our flexible hybrid working model.</div>
<div>We offer a wide range of opportunities for both your professional and personal development and growth.</div>
<div></div>
<ul><li><div>Own and shape a growing digital unit with real business impact</div>
</li><li><div>Opportunity to influence global expansion</div>
</li><li><div>30 days of paid annual leave</div>
</li><li><div>Subsidized VBB or Deutschland ticket</div>
</li><li><div>Dedicated learning &amp; development budget and weekly learning time + LinkedIn Learning license</div>
</li><li><div>Company Urban Sports Club membership</div>
</li><li><div>Mobility allowance for relocation if you are relocating to join our team #LI-NB1</div>
</li>
</ul></div></div></div></div><div></div><div><div><p>Sonova is an equal opportunity employer.</p><p>
We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the market place. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate&rsquo;s ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.</p>
</div></div><div><div><div><div>164317</div></div></div></div></div><p></p>

Senior Staff Engineer

LimeFlight

<div><p>Join our fully remote, mission-driven team dedicated to pioneering <b>sustainable inflight service management</b>. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.</p><p></p><p>
Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.
</p><h4 class="jobSectionHeader"><b>About the role</b></h4><p>
We are hiring a <b>Senior Data &amp; Analytics Engineer</b> to take <b>end-to-end ownership of our data platform and BI layer</b>.</p><p></p><p>
We are on a mission to contribute to a <b>zero-waste future</b> by drastically reducing food waste, fuel consumption, costs, and most importantly, <b>CO₂ emissions</b> in the airline industry. Every role in our company is a direct contributor to this vision - and as a <b>Senior Data &amp; Analytics Engineer</b> you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.</p><p></p><p>
You will evolve a vendor-built BI solution into a <b>modern, product-grade data platform</b> and ensure that data is transformed into <b>scalable, trusted, and actionable insights</b> for both our customers and internal teams. You&rsquo;re not just building dashboards, you&rsquo;re enabling better decisions and measurable impact.</p><p></p><p>
This role combines:</p><ul><li><b>
Data Engineering</b> (pipelines, processing, customer facing exports, platform)</li><li><b>
Analytics Engineering</b> (modeling, KPIs, semantic layer)</li><li><b>
Data Product Ownership</b> (customer impact, insight generation)</li></ul><h4 class="jobSectionHeader"><b>
What You&rsquo;ll Own</b></h4><p><b>
Platform, Architecture &amp; Pipelines</b></p><p>
Own the end-to-end data platform (<b>Databricks </b>and <b>Microsoft Fabric</b>)</p><ul><li>
Design and operate scalable pipelines and lakehouse architecture</li><li>
Build scalable ETL/ELT workflows and manage batch/near real-time processing</li><li>
Ensure data quality, reliability, observability, and performance</li><li>
Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)</li><li>
Optimize cost (e.g. Databricks jobs) and workload distribution across platforms</li></ul><p><b>
Data Modeling &amp; Semantic Layer</b></p><ul><li>
Own <b>Power BI </b>semantic models and KPIs</li><li>
Build clean, scalable dimensional models (star schema)</li><li>
Ensure performance and consistency of DAX, aggregations, and dataset refresh</li></ul><p><b>
Customer-Facing Analytics</b></p><ul><li>
Build and maintain customer-facing dashboards and embedded analytics</li><li>
Ensure consistent and trusted metrics across all outputs</li><li>
Enable self-service analytics with governance</li><li>
Maintain and monitor customer facing exports</li></ul><p><b>
Data as Product</b></p><ul><li>
Translate business and customer needs into scalable data solutions</li><li>
Define KPIs and reporting standards with Product</li><li>
Proactively build insights and identify opportunities to create additional customer value</li><li>
Drive measurable customer and business impact</li></ul><p><b>
Platform Quality, Operations, Security &amp; Governance</b></p><ul><li>
Build necessary validation scripts, unit tests, data quality checks</li><li>
Implement CI/CD, testing, and versioning for pipelines and BI</li><li>
Support multi-tenant architecture, security, and governance</li><li>
Implement monitoring and alerting (pipelines, refreshes)</li></ul><p><b>
Migration &amp; Insourcing (Initial Focus)</b></p><ul><li>
Take ownership of a vendor-built BI solution</li><li>
Reverse-engineer pipelines, logic, and reports</li><li>
Reduce technical debt and rebuild toward a clean architecture</li></ul><h4 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h4><p><b>
Experience</b></p><ul><li>
5+ years in data engineering / analytics engineering for customer-facing BI products</li><li>
Experience in SaaS or product-driven environments</li><li>
Proven track record building scalable data platforms and customer-facing analytics</li></ul><p><b>
Technical &amp; Platform Skills</b></p><ul><li>
Strong experience with:<ul><li>
Databricks (Spark / PySpark, Delta Lake)</li><li>
Microsoft Fabric or Azure data stack</li><li>
Power BI (data modeling, DAX, performance)</li></ul></li><li>
Advanced SQL and dimensional modeling (Kimball) expertise</li><li>
Lakehouse architecture &amp; ETL/ELT design</li><li>
Multi-tenant data models &amp; embedded analytics</li></ul><p><b>
Engineering Practices</b></p><ul><li>
CI/CD for data pipelines and BI assets</li><li>
Write reusable, modular, maintainable and testable code.</li><li>
Monitoring and data quality practices</li><li>
Version control (e.g., Git)</li></ul><p><b>
Nice-to-have</b></p><ul><li>
Azure infrastructure knowledge (IAM, networking)</li><li>
Data quality/testing frameworks (e.g., Great Expectations)</li></ul><p><b>
Mindset</b></p><ul><li>
Strong ownership and autonomy: You take full ownership of outcomes, not just tasks</li><li>
Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities</li><li>
Product thinker: You connect data to user value and turn raw data into clear, actionable insights</li><li>
Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.</li></ul><ul><li>
Domain expert: You understand business contexts quickly and translate problems into effective data solutions.</li><li>
Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.</li><li>
Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.</li></ul><h4 class="jobSectionHeader"><b>
Language</b></h4><p>
Min. English C1</p><h4 class="jobSectionHeader"><b>
Expected travel needs</b></h4><p>
2 annual one-week team events</p><h4 class="jobSectionHeader"><b>
Our Tech Stack</b></h4><ul><li>
C# (.NET 8&ndash;10), ASP.NET Core, Entity Framework Core</li><li>
Microsoft SQL Server, Azure Blob Storage</li><li>
Azure App Services &amp; Functions, Docker</li><li>
Azure Service Bus, Terraform</li><li>
GitHub Actions, SonarQube, extensive unit &amp; integration tests</li><li>
Angular Latest Version</li><li>
Databricks and Azure Fabric</li></ul><h4 class="jobSectionHeader"><b>
Hiring Process</b></h4><ul><li>
Recruiter Screen (45 mins)</li><li>
Interview with the Hiring Manager (1 hour)</li><li>
Technical interview (1 hour)</li><li>
Discussion with founder(s) and peer(s) (1 hour)</li></ul><p><b><br>
LimeFlight is proud to be an equal opportunity employer.</b></p><p>
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.</p><p></p><p>
Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.</p><p></p><p>
Let&rsquo;s talk!</p></div>

Senior Data & Analytics Engineer (Europe, 100% remote)

Adsquare

<div>
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   About the Company
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  At Adsquare, our mission is driven by our core focus:
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    Passion
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   &ndash; Solving complex challenges with great people, tech, and data.
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    Niche
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   &ndash; Location Intelligence for Programmatic Advertisers.
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  Our core values are integral to everything we do:
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    Drive
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   : We turn ambition into action to deliver valuable outcomes.
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    Resilience
   </strong>
   : We adapt, persevere, and grow stronger.
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    No BS
   </strong>
   : We value honesty, transparency, and clear communication.
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    Humble
   </strong>
   : We choose modesty over vanity and let results speak for themselves.
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    Moral Compass
   </strong>
   : We do the right thing with fairness, integrity, and respect.
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  We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.
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 <p>
  <strong>
   About the Role
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  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.
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   Responsibilities
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    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)

<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

develop

<div>
 <p>
  <strong>
   Senior DevOps Engineer | Berlin | FinTech | German (B2+)
  </strong>
 </p>
 <p>
  &euro;85,000 - &euro;100,000 per annum
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're partnering with an innovative FinTech company in Berlin to hire a DevOps Engineer who is passionate about building scalable, secure, and reliable cloud infrastructure.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you'll do:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build and maintain CI/CD pipelines
  </li>
  <li>
   Automate infrastructure using Infrastructure as Code
  </li>
  <li>
   Manage and optimise cloud environments (AWS/Azure/GCP)
  </li>
  <li>
   Collaborate with development teams to improve deployment and reliability
  </li>
  <li>
   Monitor systems and drive performance and security improvements
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we're looking for:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience in DevOps, SRE, or Cloud Engineering
  </li>
  <li>
   Hands-on knowledge of Docker, Kubernetes, Terraform, and CI/CD tools
  </li>
  <li>
   Experience with cloud platforms (AWS, Azure, or GCP)
  </li>
  <li>
   German language skills at B2 level or above and good English
  </li>
  <li>
   EU work authorisation is preferred
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What's on offer:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Competitive salary and benefits
  </li>
  <li>
   Hybrid working in Berlin
  </li>
  <li>
   Opportunity to work on cutting-edge FinTech products
  </li>
  <li>
   Collaborative, international team with excellent career growth
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Interested? Send me a message on LinkedIn or apply directly to learn more about this opportunity.
 </p>
</div>


Senior DevOps Engineer

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