Senior Product Data Engineer (remote, Europe)

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. 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 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.

• ️ 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, * Your data engineering experience is primarily in analytics or BI (dashboards, internal reporting, warehouse modeling for analysts)

• You haven't built and operated data products that ship as part of a customer-facing application

• You're looking for a role focused on stakeholder reporting rather than building production data systems

We're looking for people that

• Are tirelessly in search of the best versions of ourselves - Who want to really show what they've got and want to prove the world and themselves what they're capable of.

• Are direct in their communication - We support and encourage one another through direct, immediate & helpful feedback.

• Know how to become autonomous - Who we can trust to do their best work without needing processes to guardrail.

• Are willing to take ownership to stand up for ourselves, our teams, and our communities.

• Have fun, are honest, and do great work - No title chasers, no finger pointers, no being awful. Absolutely no slowing down to protect ego.

Do you have experience in Terraform?, Do you have a Master's degree?, Skillset we're looking for

• Strong knowledge of Spark (Scala, Databricks, or PySpark; PySpark preferred but not required)
• 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.)
• You've shipped full features from idea to production: planning & scoping architecture implementation release iteration
• Based in Europe with significant working-hours overlap with EET (Tallinn time)
• Hands-on experience building agentic / LLM-powered features in production Practical understanding of trade-offs between LLMs (cost, latency, capability)

Bonus points if you…

• Have worked with AI/ML tools or LLMs
• Are familiar with the GCP stack (especially Vertex AI)
• Have worked with lakehouse formats like Apache Iceberg
• Have used Pulumi or Terraform for IaC
• Are familiar with Node.js and TypeScript
• Understand AWS cost mechanics (how scale impacts spend)
• Care deeply about code quality and system design
• Are curious about the creator economy (we'll help you get up to speed)

What we offer

• Fully remote - work from anywhere in Europe

• Unlimited paid vacation

• Flexible hours - async-friendly culture High ownership, low bureaucracy, no bullshit.

• Personal development support - courses, books, or conferences on us

• Regular offsites - connect with your team IRL

Founded by a high-school dropout and a Canadian (yes, we're also shocked it's going so well), Modash is building a suite of tools that help brands scale partnerships with online content creators. 1500+ companies like Google, Wolt (Doordash), Bolt, and Nord VPN, Stanley and others use Modash to find, analyze and monitor social media creators. We have some very big customers. Some have already changed the world. But many of them are just starting out. Modash is their first customer acquisition channel and we help make their missions come to life, in our small way. We're a profitable company. We're also backed by the best investors in Europe. Including Icebreaker.vc, Change Ventures, and a group of Europe's top founders. We're a small team and we're just getting started. You'll work with people who have done everything from building solar cars to hanging out with Metallica and Bon Jovi. Folks who have seen the inner workings of companies like Amazon, Veriff, Pipedrive, Yes, and the burning man of startups - Pirate summit. Come be great and do great things and make great stuff and create great memories while making a great impact. Do it. Meet your future colleagues!