Data Engineer

Our Story

Previse has pioneered algorithm-driven invoice payment decisions and working capital provisioning. For invoice payments, we use machine learning to predict the likelihood that a multinational will ultimately pay a supplier's invoice, which enables instant payment. For working capital, we use our ability to predict future revenue flows to offer SME borrowers working capital at attractive conditions.

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.

Data Engineer

We are looking for a Data Engineer to join our London office.

• You’ll design and build data flows, transformations and integrations across the business and ensure data is made available for analysis purposes, our machine learning algorithms, and automated operational use
• You’ll be involved in the full lifecycle, and will be encouraged to contribute ideas and improvements at each step

What You’ll Do

• Design and build parts of the data warehouse and the wider data architecture
• Automate the data flows underlying our operational processes
• Implement the integration of new data sources into our data warehouse (ETL pipelines)
• Work closely with business users and technologists
• Continuously find ways to improve the platform and our technical approach

Requirements

• Fluent in Python 3, SQL
• Experience in the automation and orchestration of data transformation pipelines (ideally Airflow / dbt)
• 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
• Familiarity with cloud-based data warehouses, ideally Snowflake
• Strong coding standards and practices - clean code, testing, code reviews, version control (git)
• Experience with Machine Learning libraries would be useful

Who Are You

• A strong engineer with a passion for data and clean solutions
• A natural affinity for working in a dynamic startup environment using agile methodologies
• 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.

How We Behave

We rise to the challenge

• Passionate
• Committed
• Ambitious

We join forces

• People-first
• Collaborative
• Supportive

We seek answers

• Intellectually curious
• Quality driven
• Considered

We bring clarity

• Straight forward
• Transparent
• Precise

Benefits

• Competitive salary
• Unlimited holidays
• Flexible working
• Equity
• Trust and autonomy to make decisions and execute
• Pension

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