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Senior Product Data Engineer (remote, Europe)

3 weeks, 6 days ago
Spain, Europe, Estonia, Lithuania, Portugal, Romania
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Databricks GCP GitHub Linear LLM Node.js Notion PostgreSQL Pulumi Scala Terraform TypeScript Vertex AI
Apply Now
Modash

Modash

Modash.io is the best influencer marketing platform for high-performing marketing teams, enabling them to find, analyze, and monitor influencers globally for marketing success.

Media
11-50
Founded 2018
$2M raised
View All Jobs 8

Description

  • Own high-impact data projects end-to-end from idea and scoping through implementation, launch, and iteration.
  • Design and build customer-facing data products that turn messy public social data into consistent, trusted insights.
  • Develop systems to derive creator attributes such as location, age, and interests at scale.
  • Build pipelines and products that extract creator-brand collaborations from raw social data.
  • Contribute to the future of AI-assisted search by exploring how LLMs and embeddings can improve search and recommendations.
  • Plan, build, and launch production data systems with minimal meetings and high autonomy.
  • Collaborate with the broader Data organization across Data Insights, Data Search, and Data Core.
  • Participate in pair programming, fast feedback loops, and shared team ownership.
  • Work on data reliability, freshness, and quality at scale.

Requirements

  • Strong knowledge of Spark, with PySpark preferred; Scala or Databricks experience also relevant.
  • Proven experience building ETL/ELT pipelines and handling large-scale data processing.
  • Comfort working with unstructured data.
  • Experience with workflow orchestration tools such as Airflow or AWS Step Functions.
  • Familiarity with the AWS ecosystem, including Glue and EMR.
  • Hands-on experience shipping full features from idea to production, including planning, architecture, implementation, release, and iteration.
  • Based in Europe with significant working-hours overlap with EET (Tallinn time).
  • Hands-on experience building agentic or LLM-powered features in production.
  • Practical understanding of LLM trade-offs, including cost, latency, and capability.
  • Bonus: experience with AI/ML tools or LLMs, GCP and Vertex AI, Apache Iceberg, Pulumi or Terraform, Node.js and TypeScript, and AWS cost mechanics.
  • Preferred: curiosity about the creator economy.
  • Not a fit: primary background in analytics or BI rather than production data products.
  • Not a fit: experience focused on stakeholder reporting instead of building customer-facing data systems.

Benefits

  • Fully remote work from anywhere in Europe.
  • Unlimited paid vacation.
  • Flexible hours with an async-friendly culture.
  • High ownership and low bureaucracy.
  • Personal development support for courses, books, or conferences.
  • Regular offsites to connect with the team in person.

Interested in this position?

Apply directly on the company website

Apply Now

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