Senior Product Data Engineer

New
M
ModashCreator data
Fully remote — work from anywhere in Europe, Significant working-hours overlap with EET (Tallinn time)Full-TimeSenior
SalaryAnnual salary range is 90,000€ - 140,000€ for this role. Your compensation is made up of salary and stock options.
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Job Details

Required Skills
AWSAirflowSparkPySpark

Requirements

  • Have strong knowledge of Spark; Scala, Databricks, or PySpark experience is relevant, with PySpark preferred.
  • Have a proven track record with ETL/ELT pipelines and large-scale data processing.
  • Be comfortable working with unstructured data.
  • Have experience with workflow orchestration tools such as Airflow or AWS Step Functions.
  • Be familiar with the AWS ecosystem, including tools such as Glue and EMR.
  • Have shipped full features from planning and scoping through architecture, implementation, release, and iteration.
  • Be based in Europe with significant working-hours overlap with EET (Tallinn time).
  • Have hands-on experience building agentic or LLM-powered features in production.
  • Understand trade-offs between LLMs, including cost, latency, and capability.
  • Bonus: familiarity with GCP, especially Vertex AI; Apache Iceberg; Pulumi or Terraform; Node.js and TypeScript; or AWS cost mechanics.

Responsibilities

  • Build data products from scratch that turn raw social media signals into customer-facing insights.
  • Create systems to determine creators’ locations, ages, and interests at scale.
  • Build systems that extract creator-brand collaborations from raw social data.
  • Explore how LLMs and embeddings can improve search and recommendations.
  • Own high-impact projects end-to-end, from idea and planning through launch and iteration.
  • Build and operate production data systems and features for customer-facing applications.
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Annual salary range is 90,000€ - 140,000€ for this role. Your compensation is made up of salary and stock options.
Apply Now