Build and maintain batch and streaming data pipelines.
Move production data into archival/data lake storage safely and observably.
Improve quality, reliability, and observability of derived datasets.
Design validations for freshness, completeness, schema correctness, and data quality.
Build reusable datasets that reduce one-off data extraction and aggregation work.
Optimize queries and data processing jobs for correctness, latency, and cost.
Prototype in the right tools, then integrate scoped production experiments with amo’s systems where needed.
Senior-level experience building and operating data pipelines.
Strong Python and SQL.
Production experience with Python or Scala.
Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg.
Strong understanding of batch and stream processing.
Query optimization experience.
Familiarity with data engine internals and distributed data systems.
Experience with data lakes, table/storage formats, and derived datasets.
Experience with Flink or similar stream processing systems.
Experience with ML training or inference pipelines.
Familiarity with ranking, recommendations, embeddings, or entity resolution.
Experience with privacy-sensitive data systems, GDPR workflows, or data deletion/export pipelines.
Experience reading or making scoped changes in Rust-backed systems.
To ensure that everyone is set up for success within our way of working, we work together onsite 5 days a week.
We wanted to make sure coming to the office was as comfortable as possible for you:
We chose a location in central Paris, near Opera (Metro lines 3,8,9 and RER A).
We have a beautiful Parisian-style office with high ceilings, balconies, and huge windows. So a lot of natural light!
Because life outside of work should also be stress-free, we cover:
Health care (100% coverage).
Maternity Leave, Paternity Leave, Second Parent Leave (salary maintained at 100%).
Vacation days: 8-9 weeks (total) per year - (European summer? 🥹😎).
5 weeks of paid time off (by the state);
1-2 additional weeks (RTT, based on our company contract);
~11 bank holidays.
We shut down entirely twice a year, two weeks in summer and one week in winter to allow everyone to truly recharge and to avoid prolonged slowdowns (especially in the summer). These pauses are part of your total vacation time, giving everyone a real chance to unplug and recharge. No Slack, no email, no FOMO.
Skills Required
- Senior-level experience building and operating data pipelines.
- Strong Python and SQL.
- Production experience with Python or Scala.
- Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg.
- Strong understanding of batch and stream processing.
- Query optimization experience.
- Familiarity with data engine internals and distributed data systems.
- Experience with data lakes, table/storage formats, and derived datasets.
- Experience with Flink or similar stream processing systems.
- Experience with ML training or inference pipelines.
- Familiarity with ranking, recommendations, embeddings, or entity resolution.
- Experience with privacy-sensitive data systems, GDPR workflows, or data deletion/export pipelines.
- Experience reading or making scoped changes in Rust-backed systems.
What We Do
Welcome to amo The bike rides. The sleepovers. Your first cigarette. Gossiping about your latest crush. Being consoled when they break your heart. Discovering a new city. Re-discovering your own (at 2AM). The hungover brunches. The tears. The laughs. The love. So many of the moments that shaped us were shared with friends. And then those moments started happening online. Posting photos from last night’s party. Tagging your latest situationship. Poking your roommate (whatever that means??). It was exciting and well intentioned, but something got lost along the way. The platforms that were built to bring friends closer together became places we go to scroll through videos… of strangers. We’re entertained, but where did our friends go? A new kind of social company We believe that friendship still deserves a place online. Our first app, ID, brought a new take on the social profile, providing a collaborative board for you and your friends to express yourselves on. And our second app, Bump, is the best map for friends — giving you a new home on your phone for the people and places most important to you. With Sugar, chatting with friends goes beyond the confines of a green or blue bubble. Drop whatever you want on an unlimited canvas, turning any conversation into art. Together, the apps form the beginning of a new kind of social company. One that exists across multiple apps, but only one you. And with many more ideas for new ways to bring you closer to your friends. We’re going to experiment, build, re-build again, and no doubt get lots wrong along the way. But we hope that what we get right earns its place on your home screen — as a new collection of apps that serve you and your friends above all else. On amo, your profile, friendships, and settings are shared across the apps. Trying a new one takes no time at all as your info (and your friends!) are already waiting for you. When we have new ideas, we won’t be constrained by an ever-growing tab bar and the four corners of just one app. We’ll make something entirely new and give you the choice on whether to use it or not. Take what you need, ignore what you don’t. We feel a real responsibility when it comes to creating stuff for you and your friends — and doing so the right way. We believe that the company that survives long term in this space is the one that aligns itself closest with your best interests. So to keep ourselves accountable, we developed some principles that guide what we do.
