Data Engineer (FinTech) at Black Pen Recruitment

Job Description

Data Engineer (FinTech)

Would you like to work for a company where you get to do meaningful work, grow your career, and make valuable contributions to the SME sector and SA economy as a whole?

Look no further, we have an offer for you!  

Our client, a proudly South African and award winning FinTech company that believes that the future of our country and that the economy lies at the hands of SMEs, through employment opportunities and job creation is looking for a Data Engineer to join their team.

As a Data Engineer, you will be reporting to the Head of Digital, this role will join our client’s growing team responsible for developing bespoke fintech solutions for their ever expanding stable of partners both here and abroad. While they have offices in trendy Woodstock during the lockdown they decided to become a remote-first company, so most of the week will be spent working from wherever you’re most productive.

Type: Remote

Requirements

Basic Qualifications:  

• Bachelor's degrees (B degrees) in math / statistics, science, computer science

• 5-10 years’ of relevant experience

Current Tech Stack: 

• DB: PostgreSQL

• ETL: Python

• Infra: AWS (Lambda, Route53, API Gateway, CloudFront, S3, SES)

• Dev Tools: Git, Bitbucket, Pipelines, Slack, Gitkraken

• OS: Ubuntu or Windows 10

• Apps: SagePay, SalesForce, Jira

• Dashboards: Dash / Plotly

• Reporting: MS Office

Additional Requirements:

• Strong communication and presentation skills

• Customer champion

• Creative Solutions and experience in applying mathematical concepts to problems

• Quality driven

• Ability to pay attention to detail

• Ability to work effectively with others and contribute to the team's accomplishment

• Ability to operate effectively under pressure

Duties & Responsibilities:

As a data engineer, you will guide the evolution of our client’s information architecture as they scale up to 100s of thousands of merchants. You will be responsible for the following areas of performance:

• Data visualization and dashboards

• Predictive ML Model development (mostly linear regression and decision trees)

• Database analysis, design & administration (datamarts)

• Locate and define new process improvement opportunities.

• Design and analyze multivariate experiments to evaluate the impact of product changes

• SQL Query optimization and data architecture improvements

• Implementing data pipelines using cloud infrastructure and services

• Develop and monitor portfolio credit risk metrics / trends

Do we spark your interest? Apply today!