Data Analytics Engineer

9 hours ago


Remote, Czech Republic ETFbook Full time

Transform Your Career with ETFbook

About Us

We are a dynamic technology department within a fast-evolving finance industry, dedicated to creating a top-notch data analytics platform. Our mission is to revolutionize the ETF data market by delivering trusted datasets and enabling data-driven decisions.

Job Description

Data Engineering Expertise

  • Design, build, and maintain robust ETL/ELT pipelines using Azure technologies (e.g., Data Factory, Databricks).
  • Optimize data workflows for performance, reliability, and cost efficiency.

Collaboration and Innovation

  • Collaborate closely with data analysts and software developers to enable real-time data processing.
  • Implement best practices for data governance and security.

Requirements and Benefits

  • 5+ years of experience in data engineering with a software development background.
  • Strong expertise in Azure (Data Factory, Databricks, PySpark/.NET for Spark), SQL, Python, .NET (C#), and Azure Data Analytics tools (e.g., Azure Data Lake, Synapse, Cosmos DB).
  • Strong analytical and problem-solving skills.
  • 100% remote work within the European time zone.
  • Competitive B2B contract.
  • Exciting growth opportunities in a fast-paced startup.
  • Culture of innovation: collaborate with forward-thinking professionals in technology and finance.
  • Purpose-driven mission: contribute to a cutting-edge data analytics platform.


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