Data Engineer - Fintech

Ebury is a hyper-growth FinTech firm, offering products including FX risk management, trade finance, currency accounts, international payments and API integration.
Data
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
3+ years of experience
Finance
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Description For Data Engineer - Fintech

Join Ebury, a hyper-growth FinTech firm, as a Data Engineer in their Madrid office. You'll be part of the Data Engineering team, working on Ebury's Data Platform to serve the entire company. Your responsibilities include designing and maintaining ETL/ELT pipelines, data modeling, and implementing data governance policies. You'll work with cutting-edge technologies like Google Cloud Platform, Apache Airflow, and dbt Cloud.

Ebury offers a dynamic, inclusive work environment with a focus on professional growth. You'll enjoy benefits such as a competitive salary, equity bonuses, and continuous learning opportunities. The role requires 3+ years of data engineering experience, proficiency in Python and SQL, and fluency in English.

As a Data Engineer at Ebury, you'll play a crucial role in the company's strategic growth, working on projects that drive decision-making across the organization. You'll collaborate with a diverse team of data professionals, contributing to an innovative FinTech environment that values inclusion and professional development.

If you're passionate about data engineering, eager to work with modern data stack tools, and want to be part of a company that's revolutionizing the FinTech sector, this role at Ebury could be your next career move. Apply now to join a team that's shaping the future of financial technology!

Last updated 7 months ago

Responsibilities For Data Engineer - Fintech

  • Participate in data modelling reviews and discussions
  • Design, develop, deploy and maintain ELT/ETL data pipelines
  • Serve hands-on delivery of data models using solid software engineering practices
  • Manage overall pipeline orchestration using Airflow
  • Work on reducing technical debt
  • Collaborate with team members to reinforce best practices
  • Help to implement data governance policies
  • Identify opportunities to optimise and refine existing processes

Requirements For Data Engineer - Fintech

Python
  • 3+ years of data/analytics engineering experience
  • Proficiency in Python and SQL
  • Knowledge of software engineering practices in data (SDLC, RFC…)
  • Stay informed about the latest developments and industry standards in Data
  • Fluency in English

Benefits For Data Engineer - Fintech

  • Competitive salary
  • Career progression framework with regular reviews
  • Equity process through a performance bonus
  • Paid time off and local public holidays
  • Personal development through training and certification
  • Being part of a diverse technology team
  • Open Source friendly environment

Interested in this job?