Senior Product Data Engineer (remote, Europe)

## About the role Modash gives brands the tools to work with the right content creators and helps creators earn a living doing what they love. Behind the scenes, the Data Insights team is building the intelligence layer that turns raw social media signals into trusted, customer-facing data products — with reliable access, quality, and freshness at scale. We're looking for a hardened Senior Product Data Engineer to help us scale these systems end-to-end, raise our quality bar, and accelerate how quickly we turn messy public data into consistent, valuable insights customers can build on. ## Responsibilities We're not a service function — Data Search & Data Insights are core product capabilities at Modash, building products for customers to use. Data Insights is a specialised team in Data Org, and you'll own high impact projects end-to-end, from idea to launch. Here's a typical day: - Start your day with a short standup - Heads-down focus time to plan, build, iterate, and launch - Minimal meetings — maximum ownership You'll be working on big, impactful projects like: - Creating an understanding of the creators location, age, and interests at scale - Creating systems to extract collaborations between creators and brands from raw social data - Shaping the future of AI-assisted search, exploring how LLMs and embeddings can enhance search and recommendations. You won't be patching pipelines — you'll be creating data products from scratch that directly impact customers. ## About the team At Modash, the Data Insights team isn't a support function — it's a core part of the product. You'll join a growing group of data and backend engineers, working within our broader Data organization. We work in three closely aligned teams within Data: - Data Insights — builds the creator and brand-level insight products and APIs (e.g., collaborations, reports, dictionaries, contacts, audience overlap). - Data Search — owns our search products (including AI Search) end-to-end. - Data Core — responsible for raw data collection and the foundations of our data platform. We value autonomy, but we also work closely as a team — through pair programming, fast feedback loops, and shared wins. Everyone is expected to take ownership, but nobody works in isolation. We're remote-first, and we also make time to connect IRL through regular team offsites — to have fun, collaborate, and reflect. ## Tech stack - AWS and GCP with Pulumi (IaC) - PySpark on AWS EMR for compute - GCP Vertex Batch API for LLMs - Airflow for orchestration - Iceberg and Aurora (Postgres) for persistence - Other: S3, Glue, Kinesis, Lambda, ECS, Athena - Tools: Slack, GitHub, Linear, Notion, Cursor ## Interview process We move fast. You can get interviewed in under a week. Process consists of: - Intro chat - Technical interviews: 1. Coding challenge (in PySpark) and 2. System Design - Team fit / Project presentation - Culture & alignment call with the CEO Avery Schrader