JJobsSonar

Full-Stack Data Platform Engineer - Europe

Reflow · Poland

Data EngineeringRemote

About this role

The role involves designing, implementing, and maintaining a scalable data warehouse using tools like BigQuery, Snowflake, Redshift, or similar. Responsibilities include developing and optimizing ETL pipelines for data ingestion from APIs and internal systems, modeling datasets to support analytics and product features, and building dashboards with tools like Metabase, Tableau, or Power BI. The candidate will collaborate with the engineering team to improve data mining and analytics performance, ensure data reliability and cost efficiency, and implement event-based pipelines for real-time analytics. The role also involves contributing to data governance, privacy, and security best practices.

Skills & technologies

Must have

  • BigQuery
  • Snowflake
  • Redshift
  • SQL
  • ETL tools
  • data modeling
  • data ingestion frameworks
  • cloud-based data operations
  • Metabase
  • Tableau
  • Power BI

Nice to have

  • Python
  • AI/ML-driven analytics
  • predictive modeling
  • real-time or streaming data architectures
  • data governance
  • compliance
  • secure cloud operations

Read full description

About the job Full-Stack Data Platform Engineer $80k – $160k • 0.0% – 0.4% We’re building Reflow, a workforce and workflow intelligence platform that helps teams deeply understand how work gets done. As we scale, the data we collect is becoming richer and more complex. We need a data platform engineer to help us design and operate the systems that turn that data into intelligence — powering analytics, workflow insights, and economic modeling. What you’ll do Design, implement, and maintain a scalable data warehouse (BigQuery, Snowflake, Redshift, or similar). Develop and optimize ETL pipelines to ingest data from APIs and internal systems. Model and manage datasets to support flexible analytics and product features. Collaborate with engineering team to improve data mining and analytics performance. Build and maintain dashboards and visualization tools (Metabase, Tableau, Power BI) to enable internal and external insights. Ensure data reliability, cost efficiency, and performance optimization across environments. Implement event-based pipelines for real-time analytics and reporting. Contribute to data governance, privacy, and security best practices. Who you are Experienced in data warehouse architecture and scalable analytics infrastructure. Strong with SQL, data modeling, and pipeline performance optimization. Hands-on with ETL tools, data ingestion frameworks, and cloud-based data operations. Capable of balancing technical depth with real-world impact — you build systems people actually use. Comfortable navigating tradeoffs between cost, scalability, and complexity. Curious about how data translates into insights, decisions, and automation. Bonus points Experience with Python for analytics and data wrangling. Familiarity with AI/ML-driven analytics or predictive modeling. Exposure to real-time or streaming data architectures. Understanding of data governance, compliance, and secure cloud operations. Why join You’ll build the backbone of Reflow’s intelligence layer, the systems that make our data usable, fast, and insightful. You’ll work directly with founders and engineers across analytics, infrastructure, and product. This is a high-impact technical role that sits at the intersection of scale, performance, and strategy. We’re open to part or full-time. Ideal for builders who care about performance and precision at scale.
$80,000–$160,000 / yearApply now

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