Senior Product Data Engineer
New
M
ModashCreator Economy
Fully remote — work from anywhere in Europe, Significant working-hours overlap with EET (Tallinn time)Full-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSETLMachine LearningAirflowData engineeringSparkLLMPySpark
Requirements
- Strong knowledge of Spark (Scala, Databricks, or PySpark)
- Proven track record with ETL/ELT pipelines and large-scale data processing
- Experience with workflow orchestration tools (Airflow or AWS Step Functions)
- Familiarity with AWS ecosystem (Glue, EMR, etc.)
- Hands-on experience building agentic / LLM-powered features in production
- Experience shipping full features from idea to production
- Practical understanding of LLM cost and latency trade-offs
- Comfortable working with unstructured data
- Based in Europe with significant overlap with EET (Tallinn time)
Responsibilities
- Own high-impact projects end-to-end from idea to launch
- Create systems to extract collaborations between creators and brands from raw social data
- Shape the future of AI-assisted search using LLMs and embeddings
- Build and iterate on creator-focused data insight products
- Engage in pair programming and cross-team collaboration
- Plan and scope technical architecture for data products
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