Data Engineer/Analyst

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

• Support business and operation teams on making better data driven decisions by ingesting new data sources and creating intuitive dashboards
• 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 and dashboards with integration of internal and third-party data sources/ APIs
• Collaborate with Data Science team in the delivery and iteration of new ML/AI models
• Contribute to cataloguing and documentation of data

Required Skills:

• Bachelor’s degree in mathematics, statistics, computer science or related field.
• 1-2 years’ experience working in data engineering/analyst and related fields with at least 6 months in designing highly scalable Data warehouses.
• Mandatory required high proficiency in ETL, SQL and database management.
• Experience with AWS services like Glue, Athena, Redshift, Lambda, S3
• Hands-on understanding of AWS services like EC2, RDS, DMS.
• Python programming experience using data libraries like pandas, numpy, scipy etc.
• Interest in machine learning, logistic regression and emerging solutions for data analytics
• You are comfortable working without direct supervision on outcomes that have a direct impact on the business
• You are curious about the data and have a desire to ask “why?”

Good to have but not mandatory required:

• Experience in Fintech, online Lending industry with European operation.
• Awareness or Hands-on experience with ML-AI implementation or ML-Ops.
• Experience with Step function, SQS, EMR or Snowflake preferred.
• Certification in AWS foundation

Benefits

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