Our client is a fast-growing B2B eCommerce SaaS company building a platform that connects suppliers and buyers through modern, data-driven digital experiences. As they scale, the foundation of their success depends on having clean, accurate, and dynamic product data, powered by smart automation, scalable infrastructure, and AI.

They're looking for a Software Engineer – Data who thrives on solving messy data challenges and building tools that make data pipelines seamless, efficient, and reliable. If you love automating workflows, optimizing ETL, and scaling data systems that power real-time product catalogues, this is your opportunity to build something impactful from the ground up.

What You'll Work On

• Design and build automation tools to extract and maintain product catalog data from multiple sources

• Create scalable, well-documented ETL pipelines to clean, transform, and unify messy data

• Leverage AI tools and models to classify, enrich, and deduplicate product data

• Build robust integrations with APIs and scraping frameworks to expand data coverage

• Collaborate closely with product and engineering teams to ensure data flows cleanly into internal systems

• Optimize pipelines for speed, scale, and reliability using modern cloud infrastructure

• Continuously monitor and improve performance, accuracy, and compliance with best practices

You're a Great Fit If You Have:

• Strong experience with Python, JavaScript, SQL, and web scraping tools (BeautifulSoup, Scrapy, Selenium)

• Experience building or maintaining ETL pipelines in production environments

• Familiarity with APIs, JSON, XML, and various data formats

• Cloud experience with AWS, GCP, or Azure

• Solid understanding of both relational and NoSQL databases

• Comfort with Git, CI/CD workflows, and collaborative dev teams

• Passion for clean, scalable, and maintainable code

Nice to Have:

• Experience using AI or ML tools to automate data classification or enrichment

• Knowledge of data visualization tools (e.g., Looker, Tableau, Power BI)

• Exposure to Docker, Kubernetes, or modern DevOps stacks

• Familiarity with product data optimization for eCommerce platforms

Why Join?

• Build mission-critical data infrastructure in a product-first, tech-driven team

• Work autonomously on meaningful challenges that scale with the business

• Remote-first flexibility with a team that values ownership and innovation

• Competitive salary, growth opportunity, and a real chance to make an impact