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

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

GetYourGuide is looking for a Salesforce Developer to join our Go-To-Market tooling team to be the technical developer on our Salesforce platform. This is a high-ownership role focused primarily on integrations between Salesforce and the broader GYG ecosystem & AI-based Applications, and on Salesforce DevOps ( release pipelines, environment management, and code quality).
A smaller portion of the role involves maintaining existing Apex triggers / Invocable actions (where needed).

You will work closely with our GTM Lead & Solutions Architect (who owns end-to-end solution design) and Salesforce Admins (who own flows, configuration, and declarative automation), so you can stay focused on code, integrations, and platform setup.

Your mission

• Build integrations between Salesforce and internal/external systems — REST/SOAP, platform events, middleware, and event-driven sync with our data platform, GTM tools, and AI applications.
• Own Salesforce DevOps — CI/CD (Gearset / GitHub Actions) , source-driven development, sandbox strategy, and release management.
• Maintain and improve existing Apex code and triggers — test coverage, performance, and best practices (governor limits, bulkification, security...).
• Partner with the GTM Solutions Architect to turn solution designs into scalable implementations, flagging technical risks and simpler alternatives early.
• Support Salesforce Admins on the config-vs-code boundary — advising on flows vs. Apex and unblocking work that requires a developer.
• Champion code quality, security, and observability — code reviews, integration health monitoring, and incident response.

Your toolkit

• 4+ years of hands-on Salesforce development (Apex, LWC, SOQL/SOSL, metadata API).
• Strong integration background — REST/SOAP, platform events, or middleware (MuleSoft, Workato, Tray, custom services)
• Salesforce DevOps experience — SFDX, Git-based workflows, and a release management tool ( Gearset or equivalent).
• Comfortable as the sole developer on the platform — sets technical direction, prioritizes pragmatically, collaborates well with a Solutions Architect and admin team.
• Strong communication skills and ability to work directly with non-engineering stakeholders.

Extras that give you an edge

• Working knowledge of Salesforce Sales Cloud is a plus.
• Salesforce certifications (Platform Developer I/II, Application Architect track) are a plus but not required.
• Integrating Salesforce with a modern data platform (Snowflake, BigQuery, dbt, Kafka, Databricks).
• Familiarity with marketplace, supplier, or B2B sales business models.
• Exposure to GDPR / SOC 2 requirements in a Salesforce context.

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 Role:

We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for our internal platform, the Gropyus Data Fabric.  

Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.  

What You Will Be Doing:

As part of the Data Platform organization, you will: 

• Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers  

• Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks 

• Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets. 

• Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc) 

• Mentor and guide team members to elevate engineering rigor and technical capability 

What You Bring: 

• Experience working with a tech stack similar to: 

• Programming languages like Python or Kotlin. 

• Databases like Postgres, BigQuery, Spark, Graph DB 

• Tools like: Kubernetes, Docker, Terraform, Dagster, DBT 

• Cloud Storage Platforms  

• You have strong problem-solving and analytical skills and the ability to break down complex tasks for operations including working with stakeholders, adapting to dynamic input, and leading implementation projects 

• You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling 

• You have experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics 

Optional Experience: 

• Some knowledge about semantic web technologies like RDF and OWL 

• Experience with ontology engineering, and knowledge engineering topics, including using ontology engineering tools such as Protege 

• Experience working with construction industry data and / or complex and large datasets 

• Data Science, Machine Learning and AI agents  

What we offer:

• Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living. 
• It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them.
• Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery.
• Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired.
• Be an owner: Participate in the success of GROPYUS through stock options.

ABOUT THE TEAM:

As the Head of Data, you will be the visionary leader responsible for defining and executing our company data strategy. You will lead our data team to build a world-class data platform that bridges the gap between technical engineering and business value.

Your focus will be on evolving our data function into a strategic powerhouse to stakeholders from across the whole organization. You will own and drive the roadmap that aligns our data engineering capabilities with measurable business impact, ensuring our data infrastructure not only scales with our global client base but also becomes a key differentiator in how we make decisions, demonstrate product value and power future innovations.

We seek a strategic leader with demonstrated experience in a B2B SaaS environment. The ideal candidate must be capable of developing a clear strategy, securing alignment with key stakeholders including the CTO, VP of Product and VP of Customer Success, and executing with a high degree of autonomy.

For this position, we need professionals who are already based in Berlin or willing to move to Berlin.

ONCE YOU ARE HERE YOU WILL:

• Own the data roadmap, transitioning the team from a hands-on setup phase to a scalable, strategic function that supports the entire organization.
• Directly manage, mentor, and grow a cross-functional team of 4 individuals consisting of a Data Engineer, an Analytics Engineer, and Analysts, focusing on maximizing team efficiency, fostering greater ownership, and promoting the capabilities and professional fulfillment of your direct reports.
• Partner with the Post-Sales team to make QBRs reliable, self-service and automated, ensuring we can clearly demonstrate the value of our product through insights for our global clients such as H&M, Sephora and Adidas.
• Oversee the transition toward a unified data platform that integrates Product Analytics, Business Decision Making and Machine Learning workloads.
• Set the standards for data governance, reliability, and resilience across our modern data stack (with tools including BigQuery, DBT and Kafka).
• Act as the key bridge between R&D and business stakeholders, ensuring data is a first-class citizen in all decision-making.

WHAT WE NEED YOU TO BRING TO THE TABLE:

• 7-10 years of leadership experience managing data teams, ideally having managed through a "scale-up" phase in at least two different companies.
• The ability to utilize and transform hands-on experience into focus on project management, team health, and high-level architectural planning.
• A deep understanding of B2B-the SaaS business models and experience working with cross-functional business stakeholders.
• While this is not a hands-on role, a strong grasp of data lakes, streaming architectures and modern DWH concepts are must have.
• Strong ability to translate complex data infrastructure challenges into business impact for non-technical leadership

OUR TECH STACK:

• Data Warehouse: Google BigQuery
• Transformation & BI: DBT, Looker
• Ingestion & Pipelines: Kafka, PostgreSQL, Strimzi, Fivetran and more
• Infrastructure: GCP, Kubernetes, Docker

• 90+ team 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
• Subsidised BVG public transport ticket and a dog-friendly Berlin office where your furry friend is welcome
• Lease your ideal bike through BusinessBike

ABOUT THE TEAM:

As the Head of Data, you will be the visionary leader responsible for defining and executing our company data strategy. You will lead our data team to build a world-class data platform that bridges the gap between technical engineering and business value.

Your focus will be on evolving our data function into a strategic powerhouse to stakeholders from across the whole organization. You will own and drive the roadmap that aligns our data engineering capabilities with measurable business impact, ensuring our data infrastructure not only scales with our global client base but also becomes a key differentiator in how we make decisions, demonstrate product value and power future innovations.

We seek a strategic leader with demonstrated experience in a B2B SaaS environment. The ideal candidate must be capable of developing a clear strategy, securing alignment with key stakeholders including the CTO, VP of Product and VP of Customer Success, and executing with a high degree of autonomy.

For this position, we need professionals who are already based in Berlin or willing to move to Berlin.

ONCE YOU ARE HERE YOU WILL:

• Own the data roadmap, transitioning the team from a hands-on setup phase to a scalable, strategic function that supports the entire organization.
• Directly manage, mentor, and grow a cross-functional team of 4 individuals consisting of a Data Engineer, an Analytics Engineer, and Analysts, focusing on maximizing team efficiency, fostering greater ownership, and promoting the capabilities and professional fulfillment of your direct reports.
• Partner with the Post-Sales team to make QBRs reliable, self-service and automated, ensuring we can clearly demonstrate the value of our product through insights for our global clients such as H&M, Sephora and Adidas.
• Oversee the transition toward a unified data platform that integrates Product Analytics, Business Decision Making and Machine Learning workloads.
• Set the standards for data governance, reliability, and resilience across our modern data stack (with tools including BigQuery, DBT and Kafka).
• Act as the key bridge between R&D and business stakeholders, ensuring data is a first-class citizen in all decision-making.

WHAT WE NEED YOU TO BRING TO THE TABLE:

• 7-10 years of leadership experience managing data teams, ideally having managed through a "scale-up" phase in at least two different companies.
• The ability to utilize and transform hands-on experience into focus on project management, team health, and high-level architectural planning.
• A deep understanding of B2B-the SaaS business models and experience working with cross-functional business stakeholders.
• While this is not a hands-on role, a strong grasp of data lakes, streaming architectures and modern DWH concepts are must have.
• Strong ability to translate complex data infrastructure challenges into business impact for non-technical leadership

OUR TECH STACK:

• Data Warehouse: Google BigQuery
• Transformation & BI: DBT, Looker
• Ingestion & Pipelines: Kafka, PostgreSQL, Strimzi, Fivetran and more
• Infrastructure: GCP, Kubernetes, Docker

• 90+ team 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
• Subsidised BVG public transport ticket and a dog-friendly Berlin office where your furry friend is welcome
• Lease your ideal bike through BusinessBike

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!

If you’re a passionate problem-solver who loves diving into complex data sets, possesses broad programming savvy and excels at building reliable data pipelines, you’ll love being a data engineer at InterWorks. As part of our Data team, you’ll empower our customers to make well-informed, data-driven decisions. Together, we’ll combine expert application of new software and technologies with a unique perspective on bridging the traditional Business-IT divide. Technical stuff aside, you’ll be part of close-knit and helpful team that delivers nothing but the best work to our customers and each other.

Please note that candidates must be located in Germany and have a valid work permit to be considered.  This is a German based role for native German speakers (and English C1).  

What You’ll Do

• Tackle diverse projects that range in duration from a few days to a few months for clients ranging from local businesses to the Fortune 500
• Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse
• Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning
• Communicate ideas clearly, both verbally and through concise documentation, to various business sponsors, business analysts and technical resources
• Build and implement ETL frameworks to improve code quality and reliability
• Build and enforce common design patterns to increase code maintainability
• Work with disparate data sources (relational databases, flat files, Excel, HDFS/Big Data systems, high-performance analytical databases, etc.) to unify client data

What You’ll Need

Must-Haves:

• Excellent SQL fluency
• Strong ETL proficiency using GUI-based tools or code-based patterns
• Understanding of data-modeling principles
• Passion for delivering compelling solutions that exceed client expectations
• Excellent verbal and written communication
• Strong problem-solving skills
• Business acumen
• A thirst to learn
• Adaptability and flexibility in changing situations
• Strong written and oral communication skills, able to communicate at English and German proficiency at C1 level

What We’d Like You to Have

• Experience with software engineering practices
• Experience with modern data-engineering practices and frameworks
• Experience with integration from semi-structured file and API sources
• Matillion, Fivetran, dbt or other ETL tools
• AWS / Microsoft Azure cloud exposure
• Snowflake / Databricks / Amazon Redshift / Google BigQuery / Azure Synapse

What We Offer

• Work from wherever you want in the region. Choose your work location when not on client site. We are a remote-first company, so we can accommodate almost any home office location 
• You want to keep your carbon footprint small? So do we! That's why every employee in Germany gets a Bahncard 50
• We want you to stay healthy, which is why our employees can enjoy a Wellness Benefit worth €1100 a year to spend on memberships or subscriptions that help us to maintain a healthy body and mind.
• Windows or Mac? 13 inch or 15 inch? Lightweight or heavy-duty? You know what works best for you. Therefore our employees have a wide choice of equipment for their home office, as well as a contribution towards standing desk equipment
• Tech Allowance. To help create the right home environment for you to be comfortable and efficient while working, we offer a Tech Allowance to cover accessories and furniture.
• We InterWorkers like to use our powers for good. As well as undertaking pro bono consulting work, we support our colleagues’ individual charitable passions with dedicated time off for volunteering
• Competitive salaries with room for advancement. Expected Salary range: €60-100K

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

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

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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 

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• Partner with Sales stakeholders to define analytical requirements, metrics, and KPIs, and identify opportunities for improvement.
• Develop and maintain dashboards, reports, and visualizations that provide timely and actionable insights.
• Analyze revenue streams and contribute to forecasting using statistical, heuristic, or machine learning approaches.
• Perform exploratory and ad hoc analyses to support decision-making across Sales and related teams.
• Collaborate with data engineers to design and implement data marts, reporting layers, and ETL pipelines; contribute to our dbt-based analytics infrastructure.
• Support Sales Development and Lead Generation teams by analyzing experiments and campaign performance.
• Monitor data quality across reporting assets and work with data owners to resolve issues.
• Document metrics, dashboards, and data sources, and help stakeholders effectively use analytics tools.
• Promote self-service analytics by enabling teams to access and interpret data independently.

• Proven years of experience in a BI, data analysis, or similar analytical role.
• Strong SQL skills and experience with Python, R, or another relevant programming language.
• Experience with BI and visualization tools such as Tableau, Power BI, Qlik, DataLens, or similar.
• Understanding of data warehousing concepts, relational databases, and data processing workflows.
• Experience working with structured datasets and building reliable reporting solutions.
• Strong analytical thinking, attention to detail, and curiosity about data.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Professional working proficiency in English.

• Experience working with Sales, Marketing, or other go-to-market domains, especially in B2B environments.
• Hands-on experience building ETL pipelines and preparing datasets for analytics.
• Experience working with dbt or similar data transformation tools.
• Familiarity with data governance and data quality practices.

#LI-DNI

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. 

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