Senior Product Data Engineer

This is a fully remote position, open to applicants in Estonia.

📋 Description

• Begin your day with a brief standup meeting.

• Engage in focused work time to strategize, develop, iterate, and launch projects.

• Enjoy minimal meetings with maximum responsibility.

• Develop insights into creators’ locations, ages, and interests on a large scale.

• Establish systems to derive collaborations between creators and brands from unprocessed social data.

• Influence the future of AI-enhanced search by investigating how LLMs and embeddings can improve search and recommendations.

⛳️ Requirements

• In-depth knowledge of Spark (Scala, Databricks, or PySpark; PySpark is preferred but not mandatory).

• Proven experience with ETL/ELT pipelines and processing large datasets.

• Comfortable handling unstructured data.

• Familiar with workflow orchestration tools such as Airflow or AWS Step Functions.

• Knowledge of the AWS ecosystem (Glue, EMR, etc.).

• Experience in delivering complete features from conception to production: planning & scoping → architecture → implementation → release → iteration.

• Reside in Europe with significant overlap in working hours with EET (Tallinn time).

• Practical experience in building agentic/LLM-driven features for production.

• Solid understanding of the trade-offs associated with LLMs (cost, latency, capability).

• ✅ Bonus points if you…

• Have experience with AI/ML tools or LLMs.

• Are familiar with the GCP stack (notably Vertex AI).

• Have worked with lakehouse formats like Apache Iceberg.

• Have utilized Pulumi or Terraform for Infrastructure as Code (IaC).

• Are knowledgeable about Node.js and TypeScript.

• Understand AWS cost mechanics and how scaling affects spending.

• Have a strong commitment to code quality and system design.

• Are interested in the creator economy (we will assist you in getting up to speed).

• Not a fit if...

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

• You have not built and operated data products that are part of a customer-facing application.

• You seek a role centered on stakeholder reporting rather than developing production data systems.

🏝️ Benefits

• Fully remote — work from any location in Europe.

• Unlimited paid vacation 🌴.

• Flexible hours — an asynchronous-friendly culture with high ownership, minimal bureaucracy, and no nonsense.

• Support for personal development — courses, books, or conferences covered by us.

• Regular offsites — an opportunity to connect with your team in real life.