(junior) fullstack engineer (m/f/d) for a new product

senior data engineer

data scientist

data engineer

full stack engineer

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

(senior) cloud data engineer (m/w/d)

big data engineer

Talon.One LinkedIn Jobs

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

Senior Data Engineer

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)

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

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>


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

wolt

<div><div><h2 class="jobSectionHeader"><b>About Wolt</b></h2>
<p>
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.<br>
<br>
Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.</p></div><p>
Analytics at Wolt is a business-critical area that covers three different teams &mdash; data science, regional business operations, and analytics engineering. The complexity of online delivery, differences in the economics and dynamics of the cities we operate in, and vast amounts of data make our work truly interesting!</p>
<p>
Now we are looking for an experienced <b>Senior Analytics Engineer</b> to join our <b>Merchant Analytics Engineering</b> team. You can work in <b>Berlin, Helsinki, or Stockholm</b>.</p>
<h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
The role is focused on the business needs - you'll be working within a cross-functional team, making sure your teammates get the insights needed for their operations. The role requires interpreting the needs and requests of our internal stakeholders from business and product, and transforming them into actionable data. Data scientists working in the domain will be your closest partners in your day-to-day work, as your solutions will enable them to create relevant experiments, a/b tests, and analyses.</p>
<h3 class="jobSectionHeader"><b>
Your daily work will include</b></h3>
<ul><li>Developing reporting and metrics quality as a whole, from understanding the needs of the business to providing easily understandable and actionable data.</li>
<li>Working on our centrally maintained data integrations and data pipelines powering our Data Warehouse, our data models, and dashboards. You'll get to utilize our modern tech stack as part of your work (Snowflake, SQL, Looker, Wolt Inhouse ETL, Airflow, Dagster, Github).</li>
<li>Design and implement complex data pipelines with dependency control, orchestration and auto-materialisation logic.</li>
<li>Develop a self-service data modelling strategy and partner with Analytics and other stakeholders for implementation.</li>
<li>Increase data literacy across the domain and expertise through hands-on training and documentation.</li>
<li>Lead, mentor, and guide more junior team members.</li>
</ul><h2 class="jobSectionHeader"><b>Our humble expectations</b></h2>
<ul><li><b>5+ years of experience </b>working as an Analytics Engineer or BI Developer.</li>
<li>Strong hands-on experience with <b>data integrations, data pipelines, data models, metric development, and dashboards</b>.</li>
<li>Tech skills: <b>Snowflake, SQL, Airflow, DBT, Looker,</b> or other visualization tools like Tableau, Power BI, etc.</li>
<li><b>Advanced SQL skills</b> and ability to write optimized queries for large data sets.</li>
<li><b>Strong business acumen and product-oriented thinking</b> with significant experience in the design and implementation of analytics and reporting data models.</li>
</ul><h2 class="jobSectionHeader"><b>What we offer</b></h2>
<ul><li>The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics.</li>
You can choose the location from our tech hubs in Berlin, Helsinki, and Stockholm. You have the chance to decide the ways of working &mdash; a hybrid, at the office, or remote within the location above.
<li>You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement.</li>
</ul><h2 class="jobSectionHeader"><b>Next steps</b></h2>
<p>
The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!</p>
<p>
For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com</p>
<p></p><div><h2 class="jobSectionHeader"><b>
Our Commitment to Diversity and Inclusion</b></h2>
<p>
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.</p></div></div>

Senior Analytics Engineer, Merchant

Explore 279+ Big data engineer in Berlin this July. Find roles across top companies and apply now to boost your career.

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Junior Backend Engineer - Data Ingestion

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