Data Engineer

1 day ago


Remote, Czech Republic ETFbook Full time
  • 5+ years of experience in data engineering with a software development background.
  • Strong expertise in Azure (Data Factory, Databricks, PySpark/.NET for Spark)
  • Strong expertise in SQL.
  • Proficiency in Python, .NET (C#), and Azure for data processing.
  • Experience with Azure Data Analytics tools (e.g., Azure Data Lake, Synapse, Cosmos DB).
  • Strong analytical and problem-solving skills.
  • Interest in financial data.

About:

You'll join a highly skilled data engineering team, part of a technology department. This team develops and maintains a cutting-edge platform on Azure using most advanced technologies (e.g. Azure Databricks) to support all core business functions. Your primary goal will be building and maintaining robust, secure data pipelines and helping in defining the data model that deliver trusted datasets to internal and external stakeholders, enabling data-driven decisions across the organisation.

As a Data Engineer, you will maintain, monitor, and enhance the platform that powers our data services. You'll work on building robust pipelines using Azure Data Lake, C# and Python while collaborating closely with data analysts and software developers.

Reporting to the Head of Technology, you'll be a part of a collaborative team focused on data governance, engineering, and strategy. This role offers the chance to make a visible impact in a dynamic, fast-evolving field.

What We Offer:

  • 100% remote work within the european time zone.
  • Competitive B2B contract.
  • Exciting growth opportunities in a fast-paced startup.
  • Collaborative and innovative work culture.
  • Impactful work: help revolutionise ETF data market, currently fastest growing area of finance
  • See results quickly: your work will directly influence live projects, delivering measurable results in real-world applications.
  • Culture of innovation: collaborate with forward-thinking professionals in technology and finance where experimentation and creativity are encouraged.
  • Purpose-driven mission: be part of a team dedicated to create a top-notch data analytics platform.
,[Design, build, and maintain ETL/ELT pipelines using technologies available natively on Azure (e.g., Data Factory, Databricks)., Optimize data workflows for performance, reliability, and cost efficiency., Ensure data integrity and quality across multiple sources and systems., Collaborate with software engineers and analysts to enable real-time data processing., Implement best practices for data governance and security., Monitor and troubleshoot data pipelines using Azure Monitor and Log Analytics.] Requirements: Data engineering, Azure Data Factory, Databricks, PySpark, .NET, Spark, SQL, Python, C#, Data analytics, Azure, Azure Data Lake, Cosmos DB Tools: . Additionally: Remote work, Flexible working hours, Small teams.
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