Senior Product Data Engineer - Modash

About Modash

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 Like

We’re not a service function — Data Search & Data Insights are core product capabilities at Modash, building products for customers to use. You’ll own high-impact projects end-to-end, from idea to launch.

• Start your day with a short standup
• Heads-down focus time to plan, build, iterate, and launch
• Minimal meetings — maximum ownership

Impactful Projects

• Creating an understanding of creator 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 Team

At Modash, the Data Insights team is a core part of the product. You’ll join a growing group of data and backend engineers working across three closely aligned teams:

• Data Insights — Builds 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 while working closely through pair programming, fast feedback loops, and shared wins.

Our Tech Stack

• Compute & Cloud: AWS, GCP with Pulumi (IaC), PySpark on AWS EMR
• AI & Orchestration: GCP Vertex Batch API, Airflow
• Persistence: Iceberg, Aurora (Postgres), S3, Glue, Kinesis, Lambda, ECS, Athena
• Tools: Slack, GitHub, Linear, Notion, Cursor

Skillset We’re Looking For

• Strong knowledge of Spark (Scala, Databricks, or PySpark; PySpark preferred)
• Proven track record with ETL/ELT pipelines and large-scale data processing
• Comfortable working with unstructured data
• Experience with workflow orchestration tools like Airflow or AWS Step Functions
• Familiarity with the AWS ecosystem (Glue, EMR, etc.)
• Experience shipping full features from idea to production
• Based in Europe with significant working-hours overlap with EET
• Hands-on experience building agentic / LLM-powered features in production
• Practical understanding of trade-offs between LLMs (cost, latency, capability)

Bonus Points

• Worked with AI/ML tools or LLMs
• Familiar with the GCP stack (especially Vertex AI)
• Experience with lakehouse formats like Apache Iceberg
• Used Pulumi or Terraform for IaC
• Familiar with Node.js and TypeScript
• Understand AWS cost mechanics

What We Offer

• Remote-first: Work from anywhere in Europe with regular team offsites
• Compensation: Base salary range of 90,000€ - 140,000€ plus a significant stock option package
• Time Off: Unlimited paid vacation
• Flexibility: Async-friendly culture with low bureaucracy
• Growth: Personal development support for courses, books, or conferences