Taro Logo

Data Engineer

FCA-authorized fintech helping people eliminate cumulative debts through mobile application with financial planning and intelligent lending products.
Data
Entry-Level Software Engineer
Hybrid
1+ year of experience
Finance
This job posting may no longer be active. You may be interested in these related jobs instead:

Description For Data Engineer

Updraft is an innovative, FCA-authorized fintech company based in London, focused on helping people overcome their debt challenges. The company is building a comprehensive mobile application that combines open banking, credit reporting, and personalized financial planning to help users manage and eliminate debt.

As a Data Engineer at Updraft, you'll be integral to building and maintaining data processing workflows that power our analytical products. You'll work with cutting-edge AWS technologies and contribute to the development of data pipelines that drive our financial planning and lending solutions. The role requires expertise in Python, SQL, and various AWS services, making it perfect for someone passionate about using data engineering to solve real-world financial problems.

The position offers a unique opportunity to work with a high-growth fintech that's making a real difference in people's lives. You'll be part of a team that's leveraging technology to simplify the financial world and help customers overcome the stress of debt. The hybrid work environment provides flexibility, and you'll have access to professional development opportunities to grow your skills.

This role is ideal for an early-career data engineer who wants to make an impact in the fintech space while working with modern data technologies and contributing to meaningful solutions that help people achieve financial freedom. You'll be supported by a team that values innovation and is committed to building solutions that address real customer needs in the financial sector.

Last updated 8 months ago

Responsibilities For Data Engineer

  • Build new data processing workflows for analytic products
  • Maintain and improve existing data processing workflows
  • Optimize and maintain production data pipelines
  • Develop analytical products with internal and third-party data integration
  • Contribute to data cataloguing and documentation
  • Collaborate with Data Science team on model delivery

Requirements For Data Engineer

Python
  • Bachelor's degree in computer science or related field
  • 1-2 years experience in data engineering
  • High proficiency in ETL, SQL and database management
  • Experience with Athena, Redshift, EMR or Snowflake
  • Experience with AWS services (Glue, Lambda, Step function, SQS, S3)
  • Understanding of AWS services (IAM policies, EC2, RDS, DMS)
  • Python programming experience with data libraries
  • Experience creating and using Jupyter notebooks
  • Interest in machine learning and data analytics

Benefits For Data Engineer

  • Paid Time Off
  • Work From Home
  • Training & Development

Interested in this job?