Senior Data Engineer

๐Ÿ“ฃ Senior Data Engineer | Fintech | Remote | Full-Time

๐Ÿง  Level: Senior
๐Ÿ—ฃ๏ธ English: Upper-Intermediate or higher
๐Ÿ•’ Workload: Full-time
๐ŸŒ Location: Fully remote (Preference for time zones close to Israel)
๐Ÿ• Time Zone: CET (Israel)
๐Ÿš€ Start Date: ASAP
๐Ÿ“† Duration: 6+ months


๐Ÿงพ About the Client:
Our client is an innovative fintech company dedicated to optimizing payment transaction success rates. Their advanced technology integrates seamlessly into existing infrastructures, helping payment partners and platforms recover lost revenue by boosting transaction approval rates.

๐Ÿ”ง Project Stage: Ongoing development


๐Ÿ’ผ What Youโ€™ll Be Doing:

  • Design and implement robust, scalable data pipelines and ETL workflows
  • Develop comprehensive end-to-end data solutions to support analytics, product, and business needs
  • Define data requirements, architect systems, and build reliable data models
  • Integrate backend logic into data processes for actionable insights
  • Optimize system performance, automate processes, and monitor for improvements
  • Collaborate closely with cross-functional teams (Product, Engineering, Data Science)


๐Ÿง  Must-Have Skills:

  • 5+ years of experience in data engineering
  • Deep expertise in building data warehouses and BI ecosystems
  • Strong experience with modern analytical databases (e.g., Snowflake, Redshift)
  • Proficient with data transformation tools (e.g., dbt, Dataform)
  • Familiar with orchestration tools (e.g., Airflow, Prefect)
  • Skilled in Python or Java and advanced SQL (including performance tuning)
  • Experience managing large-scale data systems in cloud environments
  • Infrastructure as code and DevOps mindset


๐Ÿค Soft Skills:

  • High ownership and accountability
  • Strong communication and collaboration abilities
  • Experience in dynamic, startup-like environments
  • Analytical thinker with a proactive mindset
  • Comfortable working independently
  • Fluent spoken and written English


๐Ÿงช Tech Stack:
Python or Java, SQL, Snowflake, Redshift, dbt, Dataform, Airflow


๐Ÿ“‹ Interview Process:

  1. English Check (15 min)
  2. Technical Interview (1โ€“1.5 hours)
  3. Final Interview (1 hour) โ€“ Client
Published 28 May
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