Alvary who?

We’re an advanced tech and data start-up backed by Allianz based in Hannover and Munich. We enable our clients to utilize their various online and offline data for a best possible customer engagement and a highly personalized user experience.

We’re on a quest for customer insights which started for us, the team of founders, over a decade ago: Since then we designed, developed and operated advanced online research tools and solutions for well-known global brands. We years of hands-on experience under our belt applying the latest big data technologies, the newest analysis tools and advanced statistical methods on real-world problems. Now we are using that knowledge to build the future of Open Source Customer Data Platforms – jointly with our co-development partners. – Think of us as technology geeks with a knack for solving business problems with data.


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So what exactly
does Alvary do?

The short answer: We provide data solutions for companies of all sizes and industries. More specifically we plan, build, roll-out and maintain these data solutions. And of course, we’ve got the whole range covered from consulting, ad-hoc analytics, data modelling to software development, machine learning and technical operations.

We do believe that every data project is different and requires close collaboration of a cross-functional team. But then we also believe that data projects have many things in common: Having successfully delivered dozens of projects we can tell apart where standardization accelerates the delivery and where flexibility is required to adapt to the uniqueness of the task at hand.

Learn more about our services and ambitions

Sounds like just your thing? Then check our job offer

  • 01Open Source Technology Platform

    As stated, our goal is to provide data solutions. To achieve just that we maintain an Open Source project wrapped up as "Customer Data Platform" which can be deployed on-premise as well as in public clouds. Orchestrating a best-of-breed selection of Open Source components like Kubernetes, Kafka and Postgres allows us to provide a technology stack to our clients avoiding any vendor lock-in. – It’s our ambition to retain our clients thanks to our convincing solutions and performance – not making them dependent on us.

  • 02Data Control and "Privacy by Design"

    Data is a strategic asset that deserves to be handled in the most responsible way possible. As a German start-up working closely with regulated industries like insurance or finance this is not just a requirement – it’s a philosophy. Consequently, data control and privacy by design form our core design principles. Clients place their trust in our solutions, and we work hard to warrant their trust by emphasizing the reliability of our engineering and operations processes. Full automation and end-to-end observability are key requirements which guarantee the level of compliance required to run in highly regulated environments.

  • 03Industrialized Analytics and Machine Learning

    We aim to create a 360° view of our client’s customers and generate insights that are truly comprehensive. This provides the perfect starting point to ask complex questions. Having all the data available in a curated manner also takes away most of the barriers Data Science teams face today. Data Preparation and Feature Engineering are what our technology stack was built for. Our experts know how to leverage its capabilities and apply them to the business problems of our clients. This results in reports and models that don’t just run in the lab but become an ingrained part of our client’s products.

  • 04Professional Services and Technical Operations

    Data facilitates learning and the accumulation of insights makes data more valuable over time. That’s why we don’t stop with the delivery of a solution but aim to be part of the journey our clients are setting out for. Along the way we help them to define their data strategy, optimize their technical setup, keep the systems running, collaborate with internal and external engineering and science teams – basically everything you would expect from an internal data team too.

Sounds like just your thing?
Then check our job offers.

We love what we do:
As a Tech Team...

...we love Apache Kafka and Kubernetes so much we operate them both onsite and in the cloud. Our shared-nothing microservice architecture scales in and out elastically. All our interfaces are RESTful and our deployments are continuous.

We love what we do:
As a Product Team...

...we offer the opportunity to build a Data Platform with an industrialized Data Science Workflow and Real-Time APIs as first class citizens. We have existing Enterprise clients that are actively engaged as Co-Creation Partners in our development process.

We love what we do:
As an Organization...

...we push for self-organized teams that own what they build and are empowered to define their roadmap and velocity along a shared vision. In the green field environment of an early stage Start-Up everybody’s contribution makes a big impact.

We love what we do:
As an Ecosystem...

...we support Open Source communities and are committed to contribute back. In fact we aim to release our technology platform under a FOSS license.

We love what we do:
As Humans...

...we are more than our jobs. We have families and hobbies and we encourage a healthy balance. We value diversity and seek to recruit internationally.

Yep, we're
looking for  you

Our team of currently 15 people and some external contractors is continuously growing: Beginning in January 2019, we start with a small team in the centre of Munich at the WeWork-space - jointly with colleagues of our partner-ventures. In March 2019 we are entering our new home base in Hannover-List with enough space to expand.

  • 01Backend Engineer, All Levels, Hannover


    Your role:
    • Design a consistent API experience
    • Evaluate technology options
    • Architect, implement, test and document API components
    • Take care of build automation, packaging and integration testing
    • Ensure scalability, observability, security and backward-compatibility of all API components
    • Align with Data Engineers, define requirements and request optimizations in the Data Layer
    • Work with UI developers to ensure optimal support of frontend components
    Your profile:
    • 3+ years experience in professional software development with the Java Spring Framework
    • Proficiency in using and maintaining CI/CD pipelines
    • Hands-On experience with cloud-native data services
    • Ability to think architecturally while considering non-functional requirements
    • Communicate effectively in a distributed agile team setup


    • Apply now
  • 02Site Reliability Engineer, All Levels, Hannover


    Your role:
    • Continuously analyse possible failure modes both on infrastructure and application level
    • Support other engineering roles with know-how about observability, upgradability, scalability, security and CI/CD automation
    • Model and update load scenarios to correctly size application deployments an updates
    • Establish processes to manage deployments and upgrades of data-intense applications
    • Maintain exiting code base and push for reducing technical debt
    • Troubleshoot production issues and support resolution of support requests
    Your profile:
    • 3+ years experience in Systems Operations for data-intense applications in production
    • Hands-On experience with setting up and troubleshooting Containerized Applications, Networking, Logging, Monitoring, Alerting, Infrastructure as Code in a Linux environment
    • Proficiency in using and maintaining CI/CD pipelines
    • Understanding for operational considerations and cost / performance trade-offs
    • Communicate effectively in a distributed agile team setup


    • Apply now
  • 03Frontend Engineer, All Levels, Hannover


    Your role:
    • Work with Product Owners, Users and Engineers to design a coherent Information Architecture for our "Granary" Platform and make it tangible with Wireframes and Glossaries
    • Own the Visual Design of all UI components and develop a consistent Interaction Design
    • Ensure usage tracking and run usability test to inform tactical UX choices
    • Develop a visual design language and build stylesheets that are aligned with the Alvary CI
    • Architect, implement, test and document UI components for the Web Platform
    • Maintain exiting code base and take care of automated building, packaging and deploying
    • Align with Backend Engineers, define requirements and request optimizations
    Your profile:
    • 3+ years experience in professional software development on the Web Platform
    • Proficiency in using and maintaining CI/CD pipelines
    • Hands-On experience with WebDev Frameworks like Angular or React
    • Understanding of UX methodology and Usability Testing
    • Communicate effectively in a distributed agile team setup


    • Apply now
  • 04Data Engineer, All Levels, Hannover


    Your role:
    • Design, build, test and package components to ingest, transform and store large volumes of streaming data that are composable into reliable data pipelines
    • Conduct requirements engineering and map requests to a suitable data architecture
    • Orchestrate and instrument data pipelines so they are scalable and maintainable
    • Maintain exiting code base and take care of automated building, packaging and deploying
    • Evaluate and benchmark technology options. Run PoCs and estimate operations cost.
    • Align with Backend Engineers, define requirements and request optimizations
    Your profile:
    • 3+ years experience in professional software development for data-intense applications
    • Proficiency in using and maintaining CI/CD pipelines
    • Hands-On experience with BigData Frameworks like Apache Kafka, Spark, RDBMS, etc.
    • Understanding for operational considerations and cost / performance trade-offs
    • Communicate effectively in a distributed agile team setup


    • Apply now