Senior Applied Scientist / Lounge by Zalando (all genders)

Change the way the world travels
Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission
Within
Supply Data Engineering
- part of the strategic
Flywheel Data Engineering
group - our mission is to
build the trusted data foundations and self-serve capabilities for the supply side of our marketplace
. We
ingest, integrate, and structure
critical internal and external datasets into
reliable tables, metrics, and data products
that help GetYourGuide
onboard suppliers, support their success, and scale supply operations
. We achieve this through close partnership with
Supply, Product and Data
, enabling teams to move faster with confidence.

Your mission

• Build and lead a high-performing team: Hire, coach, and support data engineers to do their best work through clear expectations, direct feedback, and performance management.
• Set direction and deliver outcomes: Shape the roadmap, strategy, and long-term vision for Supply Data Engineering - aligned with the priorities of Product, Sales, and Data partners working in the space
• Be a trusted thought partner: Act as a strategic advisor to stakeholders across Supply, Product and Data, building strong relationships and driving adoption of trusted datasets and self-serve capabilities.
• Raise the bar on technical excellence: Ensure strong data architecture, reliability, and data quality. Establish effective engineering practices and standards while balancing hands-on technical leadership with people leadership.
• Power critical decision-making and initiatives: Lead work that integrates and operationalizes internal and external datasets (including competitive signals) to enable initiatives such as dynamic/competitive pricing, availability and inventory optimization, and quality improvements - so Supply can move faster with confidence.

Your toolkit

• Experience: 3+ years in a relevant data management role with hands-on experience.
• Communication: Excellent written and verbal communication skills in English, able to explain technical concepts clearly to technical and non-technical audiences.
• Strategic leadership + business acumen: You translate strategic needs into crisp priorities, measurable outcomes, and executable roadmaps.
• Cross-functional influence: You align stakeholders across Supply, Product and Data - navigating trade-offs and keeping delivery focused on impact.
• Player-coach leadership: You combine strong coaching with technical depth - reviewing designs and code, improving engineering standards, and mentoring engineers.
• High-trust team leadership: You build an inclusive, high-trust team with strong engagement and retention, develop high performers, and address performance issues promptly and fairly.
• Data engineering fundamentals: You’re proficient in SQL and Python and bring strong grounding in data modeling, pipeline design, orchestration, observability, and data quality. You’re comfortable engaging directly with production systems.
• Pragmatic, self-serve mindset: You value automation, documentation, and enablement to drive scalable self-serve adoption.
• AI-first mindset: You leverage modern AI tools and techniques to boost engineering productivity and accelerate solving business needs - while maintaining strong standards for quality, security, and governance.

Extras that give you an edge

• Relevant domain experience: You’ve worked in a marketplace business before, ideally working with seller/supplier-side data (e.g., pricing, availability, inventory, quality). You thrive in complex, multi-stakeholder environments.
• Modern data stack exposure: You have experience with tools such as Databricks/Spark, dbt, and Looker (or comparable technologies).
• Strength with challenging external data: You’re curious and resilient with real-world data constraints, especially integrating frequently changing external/competitive sources - while maintaining reliability, governance, and trust.

How We’ll Make Your Career Journey Extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How To Apply
Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer
Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.

Axel Springer is Europe’s leading digital publisher and a global media and technology company headquartered in Berlin. With renowned brands such as BILD, POLITICO Germany, WELT und BUSINESS INSIDER Germany, we reach millions of users worldwide. We combine the reach of an established industry leader with the agility of a startup, constantly driving innovation to transform journalism for the digital age.

Our corporate strategy places AI at the center: “Digital is the new print. AI is the new digital.” This vision reflects our belief that the fusion of artificial intelligence and human creativity will shape the future of media. Our National Media & Tech division is the central tech hub that ensures our journalism is supported by state-of-the-art technology, positioning our brands to thrive in the digital age. We believe in the future of journalism as a business model and invest in forward-looking technologies. Our five essentials are the values that unite us and guide us in our commitment to freedom.

You'll join the data engineering team at the heart of Axel Springer's media and advertising business. Your daily work is fundamentally hands-on. You write the transforms, pipelines, and data models that keep reliable, well-structured data flowing to the product teams, analysts, and data scientists who build on it. You'll work within the Data Engineering discipline, reporting to a Data Engineering Manager and embedded day-to-day in one of our business domains alongside software engineers, data scientists, analysts, and product partners. Typical domains include subscriptions, advertising, audience tracking, content performance, and event data. The stack is Python-first and cloud-native, with parts in Go. Data engineering depth is what makes this work possible.

How you'll make an impact

• own data products end-to-end, from building pipelines to responding to incidents and improving reliability
• hands-on engineering: building, testing, and reasoning about the data transforms and services that run the business
• build data-quality checks, lineage, and freshness directly into the work so data consumers can rely on it
• design schemas that handle late and messy data and reflect how the business actually asks questions
• collaborate with analysts, data scientists, and product managers to define data models contracts, and interfaces that deliver reliable, high-quality data
• mentor mid-level and junior data engineers through code review, design feedback, and shared standards
• tune transforms and pipelines for reliability and efficiency, and reduce operational toil over time

What you'll need

• a degree in computer science, engineering, or a related field; equivalent expertise proven through experience and impact is equally valued
• senior-level experience delivering and operating data products or backend systems end-to-end in a cloud environment such as AWS, GCP, or Azure
• deep, tool-independent grounding in data modeling, schema evolution, incremental and idempotent processing, late and dirty data handling, and the ability to explain why a pipeline is shaped the way it is, not just that it runs
• strong Python skills with the discipline to write clean, well-tested, maintainable code - bring solid software-engineering practice to data work and pick up Go or other tools as needed
• proven data-trust instincts, having applied quality checks, lineage, and freshness to keep real data products reliable for actual consumers
• sound judgment on tools and trade-offs, with the ability to defend your choices, the options you ruled out, and what you would do differently
• effective communication with non-engineers, a genuine ownership mindset, and experience mentoring data engineers across different seniority levels

What we offer

• your personal growth is important to us: we offer trainings and learning lunches, tech conferences, a budget for workshops and much more to expand your knowledge and your skills
• flexible working hours support a healthy work-life balance
• our free food offer: in addition to a breakfast snack, we also offer a free lunch in our canteens
• 30 days vacation plus 10 days working from abroad
• free choice of top-notch office equipment (also for your remote work space and private usage), up-to-date hardware, software and modern office spaces that provide you with maximum flexibility
• collaboration thrives on direct exchange - we rely on 80% office presence and 20% mobile working
• from now a permanent full- or part-time position in a modern office in the heart of Berlin: http://www.axelspringer\-neubau.de/

Questions and answers about the application process

The most frequently asked questions and their answers can be found on our FAQ page: career.axelspringer.com/en/faq

Diversity is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, sexual orientation and identity.

You can find information about the representation for the severely disabled at Axel Springer here: https://career.axelspringer.com/en/rsde

Contact person for this position (reference number REF2430L) is Marcel Burmester

Octopus Energy startete in Großbritannien mit einer mutigen Idee: Wir wollten der erste wirklich digitale Energieversorger werden. Mit modernster Technologie und großartigen Menschen, die sich leidenschaftlich für Kund*innen und die Energiewende einsetzen, haben wir es geschafft und heute sind wir einer der größten Energieversorger Großbritanniens.

2020 haben wir den nächsten Schritt gemacht und sind nach Deutschland gekommen. Seitdem versorgen wir Kund*innen hier mit Strom und Gas – sauber, fair und transparent. Gleichzeitig treiben wir den grünen Wandel voran: von der einfachen Umstellung auf Wärmepumpen über smarte Zähler bis hin zu intelligenten Tarifen, die den Alltag erleichtern.

Bei

Octopus Tech

in Deutschland bekommst du echte Verantwortung und die Chance, Produkte mitzugestalten, die einen spürbaren Unterschied machen: niedrigere Rechnungen, grüneres Leben und Kundenerlebnisse, die wirklich begeistern. Du arbeitest eng mit Teams aus Marketing, Operations und Data zusammen und siehst deine Arbeit direkt in der realen Welt – schnell, sichtbar und sinnvoll.

Wenn dich das begeistert, freuen wir uns, von dir zu hören. 💚

Wir bauen die Brücke zwischen Business Operations, Data und unseren B2B-Kunden. In dieser Rolle entwickelst du die zentralen Schnittstellen unserer Plattform und gestaltest die technische Zukunft unseres Kundenportals maßgeblich auf Basis von
Python
und
Django
.

Die Herausforderung

Unsere operativen Prozesse leben in unserem CRM-System, unsere Daten-Intelligence in Databricks. Deine Aufgabe ist es, diese Welten sicher, performant und skalierbar miteinander zu verbinden. Du entwickelst unsere B2B-APIs weiter, automatisierst die Anbindung externer Dienstleister und baust eine moderne, zukunftsfähige Python/Django-Architektur auf.

Deine zukünftigen Aufgaben:

• API & Backend Development:
  Du entwickelst und wartest unsere zentralen APIs und Web-Services mit
  Python & Django
  , um unseren B2B-Kunden einen nahtlosen, sicheren und schnellen Datenzugriff zu ermöglichen.

• Product Evolution:
  Du entwickelst unsere Plattform kontinuierlich weiter, bringst neue Features zur Marktreife und stellst eine hohe Code-Qualität sowie Performance sicher.

• System-Integration:
  Du baust stabile, automatisierte Konnektoren zwischen unserem CRM-System, externen Dienstleistern und unserer internen Plattform, um komplexe Geschäfts-Workflows abzubilden.

• Infrastructure & Deployment:
  Du arbeitest eng mit dem Team zusammen, um unsere Anwendungen zuverlässig in unserer AWS-Cloud-Infrastruktur bereitzustellen und zu betreiben.

Dein Background:

• Backend-Expertise:
  Du verfügst über fundierte, mehrjährige Erfahrung in der Entwicklung mit
  Python
  und dem
  Django Framework
  (inkl. Django REST Framework).

• Ownership & Selbstständigkeit:
  Du übernimmst die volle Ownership für deinen Bereich, treibst Themen eigenverantwortlich voran und fungierst als starkes Bindeglied (Link) zu unserem globalen Plattform-Team sowie zu den Entwicklern unserer Partner.

• Software-Architektur:
  Du hast ein gutes Gespür für saubere Architekturmuster und verstehst es, bestehende Systeme zu analysieren, weiterzuentwickeln und wartbaren Code zu schreiben.

• Gestaltungswille & Teamspirit:
  Du hast Lust, Governance und Prozesse im Team aktiv mitzugestalten. Deine Meinung zählt - wir arbeiten alle zusammen, um als Team kontinuierlich besser zu werden.

• Data-Affinität:
  Sicherer Umgang mit SQL und relationalen Datenbanken (
  PostgreSQL
  ). Erfahrung mit Data-Orchestrierung (z. B. Apache Airflow) sowie Data-Warehousing-Tools (z. B. Databricks) ist ein großer Pluspunkt.

• Security-First-Mindset:
  Du hast ein tiefes Verständnis für B2B-Sicherheitsstandards, Authentifizierungsmethoden (z. B. OAuth2, JWT) und Datensicherheit.

• Analytische Stärke:
  Du löst komplexe Integrationsprobleme mit Freude und legst großen Wert auf sauberen, gut getesteten und wartbaren Code (Clean Code).

Das ist ein Plus (Nice-to-have)

• Erfahrung im Umgang mit Docker und Kubernetes.

• Kenntnisse in der Verwaltung von AWS-Infrastrukturen und Infrastructure as Code (z. B. Terraform).

• Praxiserfahrung mit CRM-APIs (z. B. Salesforce, HubSpot).

Unser Tech-Stack

• Backend:
  Python, Django / Django REST Framework

• Datenbank:
  PostgreSQL

• Daten & Orchestrierung:
  Databricks, Apache Airflow, CRM-APIs

• Infrastruktur & DevOps:
  AWS, Docker, Kubernetes, Terraform

Deine Benefits bei uns:

✅ Vergünstigungen & Vorsorge:

- Aktienoptionen der Octopus Energy Group Ltd.

- Vergünstigte Konditionen für unsere Strom- und Gastarife

- Monatlicher Zuschuss zum Nahverkehrsticket

- Monatlicher Zuschuss zum Mittagessen

- Vergünstigtes Fahrradleasing

- Betriebliche Altersvorsorge

✅ Familie

- Beratungsangebote und Unterstützung bei Kinderbetreuung über HeyNanny

- Monatlicher Zuschuss zur Kinderbetreuung

- Elterngeld-Bonus: Wir stocken dein Elterngeld für 
3 Monate
 auf, damit du deine Elternzeit entspannter genießen kannst

✅ Sport & Gesundheit

- Zuzahlungen zu Fitness- Angeboten über Wellpass

- Förderung deines mentalen Wohlbefindens mit unserem Partner Open Up

✅ Lernen & Weiterbildung

- Attraktive Weiterbildungsmöglichkeiten und Aufstiegsmöglichkeiten

- Kostenlose Sprachkurse über Busuu

✅ Extra Goodies

- Gutschein zu deinem Geburtstag

Bereit, den Energiemarkt mit uns zu revolutionieren? Erzähle uns, warum genau du uns dabei unterstützen solltest. Schicke uns deinen CV und alles, was wir wissen sollten, über unser Online-Formular. Wir freuen uns auf dich!

Du findest die Stelle super spannend, bist dir aber unsicher, ob du alle geforderten Skills zu 100% erfüllst? Bitte zögere nicht, dich trotzdem zu bewerben!

P.S.: Octopusse gibt es in allen Farben, Formen und Größen. Wir freuen uns auf Mitarbeiter*innen jeden Geschlechts, Alters, jeder sexuellen Identität, Herkunft, Religion, Weltanschauung, mit und ohne Behinderungen. Für uns zählt nur eins: du passt zu uns und brennst darauf, etwas zu verändern.

Where necessary, we sometimes use AI tools to help with parts of our hiring process, like reviewing applications or assessing responses.

We’re lucky to receive a huge amount of interest, so these tools help our recruiters manage that volume, not replace them. Ultimately, every hiring decision (for example, whether to progress your application or not) is always made by a real person in our Talent team.

If you’d like to know more about how we use your data, you can reach out to us via email at talent@octoenergy.com. We’re happy to help!

Ready for a challenge?
Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience.

Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About This Role
We are looking for senior machine learning engineers (but open for mid level) with passion for using machine learning to create intelligent applications. As a Machine Learning Engineer, you will be part of the Data Science team inside the Product and Tech group with +2200 brilliant developers, engineers, analysts and researchers. Honestly, it is a great environment!

You will work with brilliant people with world class knowledge, and a passion for sharing knowledge and solving interesting and complex problems. You will collaboratively design, build, and productionize machine learning systems. As a member of the logistics data science team, you will develop solutions to supply and demand challenges while optimizing logistics algorithms to ensure a reliable, efficient, and profitable service. From predicting ETAs to solving pricing problems, our ML pipelines form the backbone of our delivery operations.

• Please note that this position is located in Berlin (3 days a week from our Berlin office and 2 days working from home)

These are some of the key components to the role:

• Researching, implementing, and deploying innovative ML techniques applicable to logistics problems.
• Scaling and transferring novel machine learning solutions to improve our decision making processes and solutions in their different product use cases.
• Implementing and launching Data Science applications that coordinate with front facing solutions; constant improvements using performant and efficient ML models.
• Implementing tools, data pipelines, and evaluation frameworks to enable development, iteration, and launch of ML ideas within the product scope.

What will you bring to the team?

• Strong experience in Machine Learning, developing real time data streaming technologies for forecast or logistics products
• Strong coding and software engineering skills in Python
• Able to work independently and solve complex problems, with a demonstrated ability to productise and deploy using cloud services (eg. Amazon Web Services, Google Cloud Platform).
• Strong background in working with microservices and event-driven architecture, serverless computing, and cloud architecture patterns.
• Familiarity with tools and packages including Kubernetes (deployment in production) is expected. A plus would be additional experience with Airflow/Mlflow/Docker/Flink
• Experience collaborating closely with multi-functional teams, driving forward best practices.
• Real-time production systems at scale (millions of requests/transactions per day) is expected for senior level, but would be a non-mandatory plus for mid level

At JET, This Is On The Menu
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.

Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.

Inclusion, Diversity & Belonging
No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else are we delivering?
Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.

Are you ready to take your seat? Apply now!