Senior Product Data Engineer (remote, Europe)

Remote — Data Insights Team — Full-time

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.⁠⁠⁠​

🚀 What your day-to-day will look likeWe’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.

👥 The Data TeamAt 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.

⚙️ Our 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

🧪 The interview processWe move fast. You can get interviewed in under a week. Process consists of:

1. Intro chat
2. Technical interviews: 1. Coding challenge (in PySpark) and 2. System Design
3. Team fit / Project presentation
4. Culture & alignment call with the CEO Avery Schrader - That’s it!