Description du poste
Who we are
Yubo is the Social Discovery app to make new friends and hang out online. By eliminating likes and follows, we empower our users to create genuine connections and show up as their true selves.
We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect today and tomorrow.
Our team is international, multicultural and deeply committed to its mission. As the leading platform to socialize online, we have a special responsibility to build a safe digital space for our community. Safety is embedded in our DNA, and our proactive approach focuses on user protection, support, and education. We also work closely with the broader technology industry to share our knowledge and NGOs create industry-leading child protection standards.
Join us in this exciting journey and help us shape the future of social interactions!
About this role
We’re looking for a Data Engineer who thrives in a fast-moving environment where experimentation is the norm, not the exception. You won’t be locked into a single squad. Instead, you’ll work across initiatives, especially supporting our product squads as they rapidly prototype and deploy new data models.
This role is embedded in the Infrastructure team, which means real ownership. You’ll help design the data models from scratch and see them through production. You will work hand in hand with DevOps to tune databases and servers hosting them, so you can do what you do best: clean, scalable, robust and cost-efficient pipelines (That’s part of how we’re profitable !)
As one of the main contributors during a feature kick-off, you’ll contribute to the design, challenge proposals, and make sure what gets built is actually buildable.
If you enjoy jumping into fast-paced projects, debating architecture with backend devs, and pushing data models that scale under serious load, this is your place.
Our approach to privacy
As part of your job, you will be working on tools that process personal data relating to Yubo users.As a social media platform, we require our employees to have a strong awareness and understanding of privacy issues, and in particular of children's online safety, privacy and well-being.Every employee at Yubo is expected to participate in compliance with data protection regulations as well as the continuous improvement of our Privacy & Safety By Design measures.Your responsibilites
Build and maintain high-throughput data pipelines for batch and streaming workloads.Co-design data models and validate them with backend teams during the kickoff phase.Push back when needed to ensure sustainable architecture and data integrity.Work closely with ML engineers to provide clean, ML-ready datasets.Ensure data quality, availability, and order of entry at volumes of 300k+ db entries per second.Document pipelines, transformations, and architecture clearly for future devs and your future self (you’ll thank yourself later)Tools we use
Data streaming / processing: Kafka / Streams / ConnectData: MongoDB, Couchbase, KeyDB, DragonFly, Elasticsearch, Iceberg, TrinoMonitoring: Datadog & GrafanaAutomation: Kubernetes operatorsWho you are
You’ve built and scaled production data pipelines for more than 5 years.You have strong Kafka expertise and deep knowledge of parallelization and event ordering.You are proficient in SQL and PythonYou’re comfortable owning the data model from architecture doc to deployment.You love collaborating across teams, especially in fast-paced, high-autonomy contexts.You understand the complexities of high-throughput systems and how to keep them reliable.You feel comfortable working mainly in English, both written and spokenWithin a month, you will
Familiarize yourself with our data landscape, tooling, and current pipelines.Get acquainted with product squads you will work with.Be involved in a feature kick-off and provide feedback on the target data modelWithin 3 months, you will
Lead the data pipeline work for a new feature experiment.Partner with data scientists to deliver well-structured datasets for a new ML model.Present findings and documentation that make future development easier.Within 6 months, you will
Architect a high-volume pipeline from concept to production.Drive major improvements in event ingestion performance or reliability.Mentor a new teammate or contribute to internal best practices.The recruitment process
Phone screen with a TAMFirst interview with Mikael, our Head of InfraTechnical test and debrief with the Data EngineeringCulture Fit interviewsWhat we offer
A highly competitive salary range as well as equity in the companyA highly flexible remote work policy, generally between 2-4 days at the office per month, with monthly team events.We also cover fees for external professional events and meetups (Android Makers, etc…)Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo !Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare facilities in France.Join Yubo and help shape the future of Social Discovery while enjoying a culture that values flexibility, well-being, and impact.
Here’s how we live our mission every day:
You own the impact: Step up, adapt, and make it matter
Unconventionally Smart: Hack with intent, borrow smart, build better
Be Bold & Resilient: Raise your head, break barriers, keep moving forward
One team, one mission: No egos, no passengers, just shared wins
Trust and Flexibility: We offer a hybrid work model that balances flexibility with collaboration:
- Paris and Île-de-France: 1 day minimum per week at the office
- In Europe: 2 days per month at the office
Enjoy Top-notch Benefits
Culture is central at Yubo, hence the numerous benefits:
Cool Workplace: enjoy our amazing Parisian office and our many hybrid work options
Team Activities: participate in get-togethers, events, and team-building activities
Family-Friendly: we support parents with childcare options and family-friendly policies
Wellness Programs: benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being initiatives
Data Engineer