We are smava – the online credit comparison platform. We make loans transparent, fair and affordable! With more than 300.000 satisfied customers, we are one of the biggest FinTech companies in Germany. Become now part of our vision to shape the digital future of the consumer loan market!

The Data Platform team provides data infrastructure and services to our entire organisation, facilitating effortless data-driven decision-making across teams and departments, while ensuring speed, safety, and security.

WHAT YOU WILL BE DOING

• Maintain, develop, and modernize the data platform
• Design and implement data models (e.g. Data Vault)
• Build scalable batch and streaming data pipelines
• Collaborate cross-functionally with Business Analysts, Analytics Engineers, Data Scientists, and other fellow Data Engineers
• Ensure data reliability, quality, and performance across the systems
• Continuously improve our infrastructure using best practices and automation

OUR TECH STACK

• AWS (Redshift, S3, Kinesis, Glue, Aurora, DMS, EC2, ECS, Fargate, etc.)
• Data Engineering: Python, dbt, Dagster, Matillion
• Infrastructure: Terraform, Docker, CI/CD
• Other tools: Segment, Linux, Tableau
• You can find more insights about the team's work on these articles published on AWS and Dagster

YOUR PROFILE

• A solution-driven mindset with strong ownership mentality, a passion for self-learning and continuous improvement
• 2+ years of experience as a data engineer or in a similar role
• Good understanding of cloud infrastructure and data warehousing (ideally AWS and Amazon Redshift)
• Skills in both data streaming and batch-processing
• Experience with orchestration tools (e.g., Airflow, Dagster) and ETL/ELT frame works (ideally dbt)
• Experience coding in Python (or similar programming language) in a production environment
• Familiar with CI/CD, containerization (e.g. Docker, ECS), and working in Linux environments

Nice-to-Haves:

• Knowledge of Data Vault, Kimball, Inmon principles
• Experience with BI tools (preferably Tableau)
• Familiarity with modern data architecture (e.g. data lakes, data lakehouses, data mesh)

WHAT WE OFFER

• Our team comes from over 50 nations and you can expect an open and dynamic working environment with plenty of room for your further development
• We actively work to create a diverse and inclusive work environment by sharing our different skills, ideas and experiences as a team and representing diversity within the company
• For your personal development, we offer internal career programs, further training opportunities and language courses (German)
• A modern equipped office with roof terrace, lounge and much more
• We value our successes and celebrate them through regular events, such as the Company Lunch, the Table Tennis Tournament or our Summer Party
• Get your lunch delivered right to the office and save at the same time through the subsidy from smava
• Your rest is important to us so we offer 30 days of vacation, parents benefit from 10-child sick days in addition to the statutory entitlement
• To support your physical and mental health, we offer collaborations with sports providers and weekly sports activities in our office
• We support social projects and subsidize your ticket for public transport so that you can get to your destination in an environmentally conscious way
• Enjoy exclusive offers from a large number of brands and secure the best prices when buying through our Corporate Benefits partnership
• With smava you are secured in your old age and benefit from a subsidized company pension plan

Interested?

Then apply online in just a few clicks via the application button). Simply upload your CV (preferably as PDF file) and we’ll get back to you as soon as possible.

All applications are accepted exclusively via the application form.

Contact:  Felipe Alemany (felipe.alemany@smava.de)

At smava we celebrate diversity and stand for an environment that represents a variety of backgrounds, perspectives and skills. We're committed to equal employment and development opportunities regardless of gender identity or expression, race, religion, age, sexual orientation, colour, disability, culture or place of origin.

Do you want to learn more about us?

Visit our career page:https://jobs.smava.de/

#LI-Hybrid

About us:

• We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
• We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
• We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard
• We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities

Benefits:

• Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
• Robust 401k program
• Employee Equity Plan
• Generous professional development allowance
• Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
• Various snacks, goodies, and 2 free lunches weekly when at the office

Diversity, Equity and Inclusion at SoundCloud

SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.

At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.

About us:

• We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
• We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
• We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard.
• We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities

Benefits:

• Not located in Berlin? No worries, we offer extensive relocation support including allowances, one way flights, temporary accommodation and, by partnering with Expath, on the ground support on arrival
• Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
• Employee Equity Plan
• Generous professional development allowance
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• We offer free German courses at beginning, intermediate and advanced
• Various snacks, goodies, and 2 free lunches weekly when at the office

Diversity, Equity and Inclusion at SoundCloud

SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.

At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.

Team

Client Bank Solution team is part of the B2B Tribe at Raisin, consisting of 3 teams in total. 

CBS owns the dedicated interfaces used by B2B Partners who operate as their own Service Banks. These Partners offer white-labelled Raisin products through their own frontend applications, integrating them as an extension of their own services for their customers.

The team consists exclusively of backend engineers, who own a legacy ecosystem of financial services and internal tools currently in maintenance mode while building three greenfield services to replace them. You would own the whole lifecycle from design and development through maintenance of the services at runtime. The team is responsible for the 24/7 runtime support of their services.

Your Responsibilities

• You are responsible for the full E2E delivery cycle, from requirements analysis, and effort estimation through design, implementation, QA, delivery, and support.
• You nurture an inspiring environment with open communication and a culture of trust.
• Champion in writing clean, maintainable, and efficient code across the team’s tech stack - mainly Java, but some limited Python usage in Airflow DAGs and Lambda functions - adhering to best practices in software development. Implement new features and maintain existing codebases to ensure high performance and availability.
• You proactively resolve impediments and mitigate risks for your team.
• In case you need to escalate delivery and team risks, you do this in a timely fashion, with a well-articulated solution/mitigation plan.
• You collaborate closely with your team’s Product Manager and Tech Lead.
• You facilitate the team’s work on strategy and planning for the delivery.
• With the Product Manager, you drive the OKR process for your team: communication of objectives, Key result definition, team commitment, and pairing OKRs with individual target agreements for your engineers.
• You recruit, hire, and onboard engineers into the team.
• You develop your engineers’ soft- and technical skill sets according to the company’s goals and needs.
• You craft agreements and individual development plans with every team member, aligned to the team's goals.
• You uncover training opportunities as well as provide coaching for your team.
• You recognize high performance and reward accomplishments; you act on low performance in a timely manner. 
• You establish and keep strong performance standards for your direct reports.

Your Profile

• You have a university degree in Computer Science, Engineering, Information Systems, or related fields or equivalent practical experience.
• You bring at least 2 years of leadership/people management experience in a remote setup and have a strong focus on delivery. 
• You have hands-on experience in technical platform transitions within a company.
• You have strong hands-on experience (min. 8 years) as a Backend Software Engineer and want to stay one of the main contributors to your team.
• You know how to manage software projects to a successful delivery in a collaborative fashion.
• You have up-to-date, in-depth knowledge of the software development lifecycle in modern Frontend and Backend (Java, Springboot) technologies.
• You are comfortable with open code and architecture discussions.
• You bring experience with AWS Services, K8S, and Event-Driven architectures.
• Very good communication skills; Fluency in English; German-language skills are a plus but not mandatory.

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona. 

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.

The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.

In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it.  Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

• Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
• Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
• Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
• Enhancing our MLOps platform capabilities to support AI state of the art
• Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
• Contributing to the evolution of our MLOps stack and practices.

Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more

TO BE SUCCESSFUL IN THIS ROLE:

• M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
• 3+ years of professional experience deploying, scaling and monitoring ML models in production environment 
• Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
• Proven experience with large-scale data processing systems and modern data warehousing 
• Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
• Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
• Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
• Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
• Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work. 

ABOUT US:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. 

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?

Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona. 

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.

The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.

In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it.  Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

• Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
• Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
• Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
• Enhancing our MLOps platform capabilities to support AI state of the art
• Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
• Contributing to the evolution of our MLOps stack and practices.

Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more

TO BE SUCCESSFUL IN THIS ROLE:

• M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
• 3+ years of professional experience deploying, scaling and monitoring ML models in production environment 
• Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
• Proven experience with large-scale data processing systems and modern data warehousing 
• Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
• Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
• Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
• Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
• Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work. 

ABOUT US:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. 

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?

Team

The Growth Platform Team at Raisin is a cross-functional team enabling Marketing and product teams to scale growth initiatives across web and mobile. The team owns core growth capabilities such as marketing integrations, user tracking, experimentation, bonus management, and attribution models, providing reliable services and data foundations that power growth across markets.

As part of this team, you’ll work on complex integrations and data-heavy systems, collaborating closely with Marketing and B2C stakeholders. The Growth Platform Team is responsible for the underlying services, data pipelines, and integrations that make growth measurable and scalable. If you enjoy building platform foundations with clear business impact, this team offers a high-impact and highly collaborative environment.

Your Responsibilities

• You are responsible for the full E2E delivery cycle: from requirements analysis, effort estimation, through design, implementation, QA, and delivery.
• You nurture an inspiring environment with open communication and a culture of trust.
• You proactively resolve impediments and mitigate risks for your team.
• In case you need to escalate delivery and team risks, you do this in a timely fashion, with a well-articulated solution/mitigation plan.
• You collaborate closely with your team’s Product Manager and Tech Lead.
• You facilitate the team’s work on strategy and planning for the delivery.
• Together with the Product Manager, you drive the OKR process for your team: communication of objectives, KR definition, team commitment, and pairing OKRs with individual target agreements for your engineers.
• You recruit, hire, and onboard engineers into the team.
• You develop both your engineers’ soft- and technical skill-sets according to the company’s goals and needs.
• You craft agreements and individual development plans with every team member, aligned to the team's goals.
• You uncover training opportunities as well as provide coaching for your team.
• You recognize high performance and reward accomplishments.
• You establish and keep strong performance standards for your direct reports.

Your Profile

• You hold a university degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
• You bring at least 1 year of leadership or people management experience, with a strong interest in growing and supporting others.
• You have hands-on experience with Python, SQL, and Snowflake. Familiarity with frontend technologies is considered a strong plus.
• You have solid experience with data modeling and building ETL/ELT pipelines; experience with tools such as Airflow and dbt is a plus.
• You have worked with data analytics and visualization platforms such as Looker, Tableau, or similar tools.
• You are familiar with Data Engineering best practices, including data quality, monitoring, and observability.
• You have experience driving software projects to successful delivery in a collaborative, cross-functional environment.
• You have a strong understanding of the software development lifecycle in a data engineering context, including pipelines, integrations, and data-driven product workflow.
• You are comfortable participating in open discussions around code, architecture, and technical trade-offs.
• You are fluent in English. German language skills are a plus but not required.

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +8 million customers who trusted us with over 100B in assets. But we’re striving for more. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions. 

WHAT YOU'LL BE DOING

You will join a product delivery team and be responsible for ingesting, modeling, and publishing data to scale our business. You will design and maintain data products, collaborate on success metrics, and ensure interoperability by leveraging a self-service analytics platform and adhering to best practices.

• Working closely with product and business stakeholders to define and build meaningful product metrics
• Developing analytical products such as data models, dashboards, reports and tooling to enable self-serve reporting and analysis for stakeholders.
• Improving our architecture (cloudbased and always evolving) based on what brings the most impact to cost reduction and speed, applying software engineering best practices
• Taking ownership of projects from scoping to delivery and adoption, working autonomously 

WHAT WE'RE LOOKING FOR

• At least 5 years of engineering experience with an analytical mindset
• Solid understanding of architectures, design principles and engineering best practices
• Experience across all stages of the data pipeline: ingestion, transformations, mart creation
• Experience with our tech stack is a bonus: S3/Snowflake/Airflow/Python/DBT

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

Senior Analytics Engineer 

Communication has changed for people. It’s changed for businesses, too.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

#LI-Hybrid

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.

We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents.

You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.

As part of our team, you will:

• Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
• Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
• Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
• Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
• Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
• Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
• Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features. 

We’ll be happy to bring you on board if you have:

• Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
• Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
• Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A product-aware mindset – you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
• At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
• Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
• Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
• AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
• Inference optimization and serving optimized models in production.

#LI-KP1

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

Growth Data Products (GDP) drives GetYourGuide's growth engine by transforming raw marketing data into reliable, self-service insights and automated decision systems. Our work spans every growth channel—Paid and Organic Search, Display Advertising, CRM and Lifecycle Marketing, Brand Marketing, Marketing Attribution, Experimentation, and Customer Lifetime Value measurement. We empower teams across the organization to make faster, smarter decisions at scale, turning data into actionable intelligence that fuels our mission to connect millions with unforgettable travel experiences.

Your mission

• Define, develop, and fully own data products that drive measurable revenue impact across all GDP domains.
• Translate growth strategies into technical roadmaps, aligning multiple squads and stakeholders around clear, measurable business outcomes.
• Design, deploy, and monitor production machine learning pipelines in Python and Databricks to support bidding, targeting, and personalization use cases.
• Raise the technical standard by introducing best practices, code quality standards, and robust observability within the data science and engineering teams.
• Champion a culture of experimentation through A/B test design, causal-inference analysis, and frameworks for rapid iteration.
• Advance customer lifetime value and attribution models that guide multi-million euro marketing investments.
• Drive cross-functional collaboration to ensure data products deliver tangible business value and strategic impact.

Your toolkit

• Proven track record as a Staff or Principal Data Scientist (or equivalent) delivering cross-functional products that deliver significant business value.
• Market and growth experience is essential, with strong domain knowledge in marketing analytics, customer acquisition, or revenue optimization.
• Mastery of Python, SQL, and modern big-data tools such as Spark and Databricks, with comfort in shipping production-grade machine learning services.
• Deep expertise in statistical testing, causal inference, and online experimentation frameworks.
• Hands-on experience in marketing growth areas like paid search, CRM, or attribution modeling.
• Advanced degree in a quantitative field (such as Statistics, Computer Science, Mathematics, Economics, or Physics) or equivalent practical experience.
• Strong communication skills that enable you to influence both technical and non-technical audiences across the organization.

Extras that give you an edge

• Experience with cloud orchestration and CI/CD technologies such as AWS, Airflow, or Kubernetes.
• Familiarity with Snowflake, MLflow, or large-scale feature-store architectures.
• A record of mentoring senior individual contributors and fostering a culture of psychological safety across teams.
• Publications or conference presentations on topics like large language models, agentic AI systems, or marketing technology innovation.

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. 

#LI-Hybrid

ABOUT THE TEAM:

We're a passionate cross-functional team of engineers, data scientists, product manager, and an engineering manager, dedicated to all things data. You'll be at the centre of our expanding Intelligence Tribe. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices.

ABOUT THE ROLE:

We are seeking a Senior MLOps Engineer to join our growing Intelligence Platform team. In this role, you will be responsible for designing, developing, and maintaining robust MLOps infrastructure and workflows that support the deployment, monitoring, and scalability of our machine learning models. You’ll work closely with data scientists, engineers, and Infrastructure team to streamline the machine learning lifecycle and bring cutting-edge solutions into production.

ONCE YOU ARE HERE, YOU WILL:

• Build and maintain MLOps pipelines to automate data preparation, model training, evaluation, deployment, and monitoring of ML models and data pipelines.
• Design scalable infrastructure using our cloud platform and tools like Kubernetes, Docker, and Terraform.
• Implement CI/CD for ML models, ensuring reproducibility, reliability, and version control.
• Monitor model performance and data drift in production, and implement automated retraining workflows as needed.
• Collaborate with data scientists and engineers to operationalize machine learning models in a secure, efficient, and scalable manner.
• Maintain model registries, metadata tracking, and experiment management tools.
• Advocate for and help implement best practices in MLOps across the organization.
• Ensure compliance with security, governance, and ethical AI guidelines.

WHAT WE EXPECT YOU TO BRING TO THE TABLE:

• 6+ years of experience in software engineering or DevOps, with at least 3+ years in MLOps or ML infrastructure roles.
• Experience deploying and managing machine learning systems at scale, preferably in high-availability, real-time environments with low latency and high throughput.
• Experience with building or maintaining scalable ML infrastructure (e.g., CI/CD for models, auto-scaling, load balancing, blue-green deployment, canary releases, shadow testing, etc.).
• Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
• Proficiency with Google Cloud Platform and infrastructure-as-code tools like Terraform.
• Hands-on experience with tools like Vertex AI, MLflow, Kubeflow, Airflow, or SageMaker.
• Experience with containerization and orchestration technologies (Docker, Kubernetes).
• Experience implementing monitoring and alerting systems for ML pipelines and APIs.

WHAT'S IN IT FOR YOU:

• A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin
• Leaders with 8+ years of experience building our promotions engine
• €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses to boost your skills
• 30 days of annual leave, plus extra paid days for your birthday and moving day
• Home office setup budget, a monthly home office allowance
• Freedom to work from abroad for up to 90 days worldwide!
• Mental health support with nilo.health and a discounted Urban Sports Club membership
• 20% company subsidy on your pension contributions
• Discounted BVG public transport ticket and bring along your furry friend to our dog-friendly Berlin office!
• Lease your ideal bike through BusinessBike

ABOUT THE TEAM:

We're a passionate cross-functional team of engineers, data scientists, product manager, and an engineering manager, dedicated to all things data. You'll be at the centre of our expanding Intelligence Tribe. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices.

ABOUT THE ROLE:

We are seeking a Senior MLOps Engineer to join our growing Intelligence Platform team. In this role, you will be responsible for designing, developing, and maintaining robust MLOps infrastructure and workflows that support the deployment, monitoring, and scalability of our machine learning models. You’ll work closely with data scientists, engineers, and Infrastructure team to streamline the machine learning lifecycle and bring cutting-edge solutions into production.

ONCE YOU ARE HERE, YOU WILL:

• Build and maintain MLOps pipelines to automate data preparation, model training, evaluation, deployment, and monitoring of ML models and data pipelines.
• Design scalable infrastructure using our cloud platform and tools like Kubernetes, Docker, and Terraform.
• Implement CI/CD for ML models, ensuring reproducibility, reliability, and version control.
• Monitor model performance and data drift in production, and implement automated retraining workflows as needed.
• Collaborate with data scientists and engineers to operationalize machine learning models in a secure, efficient, and scalable manner.
• Maintain model registries, metadata tracking, and experiment management tools.
• Advocate for and help implement best practices in MLOps across the organization.
• Ensure compliance with security, governance, and ethical AI guidelines.

WHAT WE EXPECT YOU TO BRING TO THE TABLE:

• 6+ years of experience in software engineering or DevOps, with at least 3+ years in MLOps or ML infrastructure roles.
• Experience deploying and managing machine learning systems at scale, preferably in high-availability, real-time environments with low latency and high throughput.
• Experience with building or maintaining scalable ML infrastructure (e.g., CI/CD for models, auto-scaling, load balancing, blue-green deployment, canary releases, shadow testing, etc.).
• Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
• Proficiency with Google Cloud Platform and infrastructure-as-code tools like Terraform.
• Hands-on experience with tools like Vertex AI, MLflow, Kubeflow, Airflow, or SageMaker.
• Experience with containerization and orchestration technologies (Docker, Kubernetes).
• Experience implementing monitoring and alerting systems for ML pipelines and APIs.

WHAT'S IN IT FOR YOU:

• A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin
• Leaders with 8+ years of experience building our promotions engine
• €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses to boost your skills
• 30 days of annual leave, plus extra paid days for your birthday and moving day
• Home office setup budget, a monthly home office allowance
• Freedom to work from abroad for up to 90 days worldwide!
• Mental health support with nilo.health and a discounted Urban Sports Club membership
• 20% company subsidy on your pension contributions
• Discounted BVG public transport ticket and bring along your furry friend to our dog-friendly Berlin office!
• Lease your ideal bike through BusinessBike