A global leader in digital marketplaces - their household name brands, in the Netherlands, Germany and France, reach hundreds of millions of people every month.

They're all about matchmaking, and the sites help people find whatever they’re looking for in their local communities – whether it’s a car, an apartment, a sofa or a new job. Every connection made or item found makes a difference by creating a world where people share more and waste less. The brands are supported by global Tech Hubs in Barcelona, Amsterdam, Paris and Berlin, with the goal to develop common global products and innovation platforms which all of their brands can use. This means using cutting-edge technology to create highly scalable, customisable and secure products and components that free up development time and leverage the access to global data.

The Global Data & Search product teams innovate and build products ranging from personalized, complementary and similar listings recommendation systems, to search ranking models, to user profiling and segmentation services, to performance statistics engines, to AdTech and others to offer our end users and partners to create perfect matches on our marketplaces. The marketplaces in their portfolio fuel the global data platform with rich behavioral, content and user data on which is relied upon to build global services to empower their marketplaces.

The Personalization and Recommendations team is one of these teams with a mission to enable their marketplaces to improve the buying experience by understanding our users and surfacing relevant and inspirational content. The main products are User Modelling & Recommendations Engine.

We are on the lookout for top-notch software engineers to join our team and make a global impact in an exciting and dynamic environment. Come and join us!

As an engineer in the Personalization and Recommendations team, you will build and run production-grade data and machine learning pipelines and products at scale in an agile setup. You will work closely with our data scientists, engineers, architects and product managers to create the technology that generates and transforms data into applications, insights and experiences for our users.

You'll be contributing to the architecture of the system, and help to make it more scalable and resilient. As part of their team, you'll be expected to spot opportunities to improve the development work in all areas from coding and processes, to tools and testing.

We are looking for someone who is passionate about data and machine learning. You have a strong focus on execution, delivery and customer impact and craft code that is understandable, simple and clean. You are a manager of one and a sharp communicator who can explain complex problems in clear and concise language. You have a growth-oriented mindset and a desire to teach, improve, and otherwise force multiply the strengths of the engineers that surround you. You are a fast learner and thrive on learning new technologies and don't believe in one-size-fits-all solutions. You are a great teammate and believe that you can achieve more on a team - that the whole is greater than the sum of its parts.

- You have experience designing and productionizing large-scale distributed systems built around machine-learned models and big data. Experience with ML Ops and associated best practices.

- You have strong expertise in Java and/or Scala programming languages. Python experience is a plus.

- You have experience with batch and streaming technologies: e.g Apache Flink, Apache Spark, Apache Beam, Google DataFlow.

- You have expertise with distributed data stores (Cassandra, Google BigTable, Redis, ClickHouse, Elasticsearch) and messaging systems (Kafka, Google PubSub) at scale.

- You have experience with Linux, Docker, private and/or public cloud (OpenStack, GCP, AWS, Azure).

- Competitive compensation package

- Opportunity to shape the way we work. Your feedback and opinions are valued at all levels of the organisation

- Benefits including stock purchase plan and annual bonus plans

- Flexibility to work when and how you want - flexible hours, autonomy to set your own agenda, choice of phone and computer

- Smart Working Policy - work remotely some of the time, balanced with time in the office together with your team - between 5 and 45 days per quarter in the office depending on each team.

- ‘Work from anywhere’ weeks - up to four weeks working from anywhere, as long as you have an internet connection!

- Career development, including language classes and Adevinta Academies: specialised content built by our experts on Machine Learning, Agile, Leadership and more

- 26 days of holidays

- Commuter allowance

-Subsidised gym membership + monthly massage

-Life insurance, retirement plan and generous family leave