At Adevinta, we believe everything and everyone has a purpose in life. Our selection of digital brands unlock the full value in every person, place and thing by creating perfect matches on the world’s most trusted marketplaces.
With trusted brands that enjoy leading market positions, Adevinta operates a resilient business model at the centre of the second-hand economy at the time when consumers are seeking more sustainable and cost-efficient ways to buying products.
Sustainability is in our DNA, and we are recognised as a global sustainability leader by DJSI Europe. By providing marketplaces where people buy and sell second-hand goods, we contribute to the circular economy and help people live more sustainably.
At Adevinta we'll stay ahead of the curve by using innovation, curiosity and technology to develop products that help everyone and everything find new purpose.
We're all about matchmaking, and we take the same approach to hiring. But it's not just about finding the right skills for the job. It's also about making sure the role and the culture are the right match too.
We care about gaining and keeping the trust of our users, customers and stakeholders by acting responsibly, promoting sustainability and protecting the environment.
We invest in companies with tangible traction, a potential to scale beyond their domestic market, and who we can support with more than just financial resource.
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About the team
The central data 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 Adevinta portfolio fuel the central data platform with rich behavioral, content and user data on which we rely to build central products/services used globally.
The Ad Growth and Monetization team is one of these teams with a mission to enable our marketplaces across the globe to sustainably grow and monetize the Classifieds ecosystem by creating value for sellers and advertisers.
We are on the lookout for top-notch software engineers in the data space to join our team and make a global impact in an exciting and dynamic environment. Come and join us!
About the role
As a staff engineer in the Ad Growth and Monetization 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.
As Staff Software Engineer, you are expected to:
Design, productionize and own end-to-end solutions that solve our customer's problems.
Define, plan and execute on large scale strategic projects.
Communicate and align with peers and cross functional stakeholders.
Drive for technical excellence and pick the right balance between quality and speed of delivery.
Consistently steer the target architecture by identifying areas of critical need based on future growth.
Be the go-to expert inside the org and influencer inside the team in several technologies and technical areas.
Actively participate in department-wide cross-functional tech initiatives.
Coach and mentor less experienced engineers for growth and success.
Who are you
We are looking for someone who is passionate about data. You have a strong focus on execution, delivery and customer impact and craft code that is understandable, simple and clean. You are an excellent communicator who can explain complex problems in clear and concise language to both business and technical audiences. 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 (Casandra, 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).
10+ years of relevant industry experience with at least 3+ years of data and machine learning related work or research
BS or MS in CS or a related technical field
What you'll get from us:
Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.
We’re Adevinta, a global leader in digital marketplaces. Our household name brands, including Marktplaats in the Netherlands, mobile.de in Germany and leboncoin in France, reach hundreds of millions of people every month.
We’re all about matchmaking, and our 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.
Our brands are supported by global Tech Hubs in Barcelona, Amsterdam, Paris and Berlin. Their goal is to develop common global products and innovation platforms which all of our 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 our access to global data.
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