Data Engineer

Data Engineer (Cloud Data Warehouse)

Our Story

Previse has pioneered algorithm-driven invoice payment decisions. We use machine learning to predict the likelihood that a multinational will ultimately pay a supplier's invoice, which enables instant payment.

Previse reduces transaction costs for buyers, improves working capital for suppliers, and creates an attractive new asset class for funders. This is "Trade Finance 2.0", driven by data, and driving growth for companies large and small.

We utilise the latest tech in machine learning and have access to advanced datasets that allow us to train our algorithms to replace slow manual invoicing.

“To ensure that every supplier in the world can be paid instantly, at the fairest rate."

Data Engineer

As a Data Engineer, you will be responsible for the design, development, and maintenance of our data processing systems. You will work closely with senior management, experienced data scientists, software developers and analysts to understand their data requirements and help build robust and efficient data pipelines to support their work. You will also be responsible for ensuring the quality, accuracy, and security of data throughout its lifecycle.

What You’ll Do

• Design and build parts of the data warehouse and the wider data architecture
• Build business-critical integrations
• Automate operational processes
• Work closely with business users and technologists
• Maintain high standards across the platform and product
• Continuously find ways to improve the platform and our technical approach

Requirements

• Fluent in Python 3
• Strong affinity for data, data cleansing and transformation / data wrangling and analysis, both visually and with Python (Pandas, Numpy)
• Confident use of REST APIs, JSON, SQL (ideally Snowflake)
• Strong coding standards and practices - clean code, testing, code reviews, version control (git)
• Experience with Machine Learning libraries would be useful
• Ideally some exposure to functional and multi-paradigm programming

Who Are You

• A strong engineer with a passion for data and clean solutions
• A natural affinity for working in a dynamic startup environment
• Comfortable adopting a collaborative approach to problem solving
• Able to deliver results autonomously and optimise for output
• Forward looking - considering future use cases and lifetime of the codebase when developing
• Appreciation of business goals and alignment with technology

Our Culture

As a growing team in a rapidly developing space, our culture is hugely important to us, and is an area where you can make a great impact. We pride ourselves on our passion and commitment, regardless of specialism. Our success is driven by collaboration - we solve problems together, and our openness helps each individual grow, too. We're looking for people who can contribute fresh insights and the tenacity required to deliver value.

Benefits

• Industry leading salary
• Flexible working
• Equity

We are rapidly growing and looking for passionate people to join us; please reach out for more details.