Data Engineer

Technology company revolutionizing debt capital markets by providing financial, credit, legal & ESG analysis through proprietary technology.
Data
Mid-Level Software Engineer
Hybrid
Finance · Enterprise SaaS

Description For Data Engineer

9fin is transforming the debt capital markets through innovative technology. As a Data Engineer, you'll be crucial in building and maintaining the data infrastructure that powers their financial analytics platform. The role combines Python programming, SQL expertise, and cloud platform knowledge to create scalable data solutions. You'll work on implementing data flows, leading streaming solutions, and building automated pipelines. The company offers a modern hybrid working environment with comprehensive benefits including equity options, medical insurance, and professional development opportunities. 9fin serves major investment banks, asset managers, and law firms, making this an opportunity to impact the world's largest asset class. The team values data-driven decision-making and offers significant growth potential in a scaling startup environment. They promote an inclusive workplace where diversity is celebrated and encourage applications even if experience doesn't perfectly align with requirements.

Last updated 13 days ago

Responsibilities For Data Engineer

  • Implement data flows to connect operational systems, data for analytics, ML, and BI systems
  • Lead development of solutions for streaming data ingestion and transformations
  • Design, build and test data products that are complex or large scale
  • Build advanced automation of data engineering pipelines
  • Source new data using appropriate tooling
  • Understand emerging trends in data tools, analysis techniques and data usage

Requirements For Data Engineer

Python
  • Experience with Python programming and focus on code quality and testing
  • Proficient in writing efficient SQL
  • Experience in data modelling, ETL/ELT technical design, data quality testing
  • Knowledge of Infrastructure As Code for Data Platforms (Terraform and Docker)
  • Experience with cloud platforms (AWS, GCP, or Azure) and cloud warehouses
  • Understanding of agile methodologies and data-driven decision-making

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Equity
Parental Leave
Education Budget
  • Competitive Salary
  • Equity options
  • Pension with company matching up to 7%
  • Private Medical Insurance
  • Income Protection
  • Group Life Assurance
  • 25 holiday days per year
  • Hybrid working model
  • Work abroad for up to 3 months a year
  • 1 month paid sabbatical after 5 years
  • Enhanced parental leave
  • Professional learning and development budget
  • Quarterly team socials
  • Season Ticket Loan & Cycle to Work schemes

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