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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