Data Engineer

Updraft is an award winning, FCA-authorized, high-growth fintech based in London. Our vision is to help people get rid of their cumulative debts and the life stress that is associated with that. We believe that the financial world is far too complex, and for customers with large amounts of overdraft and credit card debt overwhelming and stressful. At Updraft we understand the stress, and also the complexity of the financial system, and are building solutions to help solve real problems for real people. We won't rest until everyone in the world has the opportunity to be debt free.

Our product is a mobile application that helps relieve the stress of debt using

• 360-degree spending view across all your financial accounts(using Open banking)
• A free credit report with tips and guidance to help improve your credit score
• Personalized financial planning using a proprietary mix of automated algorithms and manual advice
• Intelligent lending products to help reduce cost of credit.
• Saving products that help users automate their savings.

Requirements

• Build new data processing workflows to extract data from core systems for analytic products
• Maintain and improve existing data processing workflows.
• Contribute to optimizing and maintaining the production data pipelines, including system and process improvements
• Contribute to the development of analytical products with integration of internal and third-party data sources/ APIs.
• Contribute to proper cataloguing and documentation of data.
• Collaborate with Data Science team in the delivery and iteration of new models

Required Skills:

• Bachelor’s degree in computer science or related field.
• 1-2 years’ experience working in data engineering and related fields with at least 2 years in designing highly scalable Data warehouses.
• Mandatory required high proficiency in ETL, SQL and database management.
• Experience with Athena, Redshift, EMR or Snowflake preferred.
• Experience with AWS services like Glue, Lambda, Step function, SQS, S3.
• Hands-on understanding of AWS services like IAM policies, EC2, RDS, DMS.
• Python programming experience using data libraries like pandas, numpy, scipy etc.
• Experience creating and using Jupyter notebooks
• Interest in machine learning, logistic regression and emerging solutions for data analytics

Good to have but not mandatory required:

• Experience in Fintech, online Lending industry with European operation.
• Experience with open-source tools like Apache Airflow, Metabase, Apache Superset.
• Certification in AWS foundation
• Awareness or Hands-on experience with ML-AI implementation or ML-Ops.

Benefits

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