Full Stack Engineer

Description

Almost every single thing that you eat, wear, or use (yes, even the screen you’re reading this on) is imported. Freight quite literally moves the world. And we’re helping it move even better.

Freightos (Nasdaq: CRGO) is the global booking and payment platform for the trillion-dollar freight industry. Hundreds of airlines and ocean liners, thousands of freight companies, and over ten thousand importers and exporters use our platform to move goods around the world faster and more efficiently. This matters. Efficient freight ultimately makes things cost a little bit less when you buy them in the store.

As the leading global freight booking platform for a massive industry, we’ve been crushing it with double-digit growth, year after year, supporting well over one million shipments every year. 

About the Role

Have you ever checked the price of something before you bought it? Yep, thought so (and if you haven’t, please start!). For millions of organizations (literally!) around the world who import, getting a read on global freight prices is way, way harder than a quick Amazon search. And in order for it to work well, the companies that ship need to be able to understand exactly how much it costs on a day to day basis. Don’t worry, we have the solution. 

Freightos Terminal is the world’s leading freight market intelligence solution. It gives the largest companies in the world - retailers, manufacturers, car makers, freight companies and universities, a real-time pulse into global freight. But for it to work…the numbers have to add up. 

Sure, we can call it a full stack engineer but it’s so much more. 

And we know what you’re thinking - no, the role doesn’t come with a cape and a mask… but you can wear one if you like. This role combines the precision of data engineering with software development to keep the bits and bytes moving…so that the companies that move the boxes can do the same.

Responsibilities

• Design and implement scalable data pipelines capable of handling large datasets efficiently. 
• Optimize SQL queries for performance and scalability, ensuring minimal latency in data retrieval.
• Build and maintain APIs and back-end services that enable seamless access to large datasets. 
• Develop and maintain user interfaces using React, ensuring efficient data integration and user-friendly interaction with large datasets. 
• Mentor and guide junior engineers in best practices related to data engineering, SQL optimization, and React development. 
• Work closely with product and data teams to define and deliver technical solutions aligned with business goals. 
• Stay updated with the latest tools and frameworks to enhance the efficiency of data processing and front-end development 
• Troubleshoot issues across the full stack, including front-end (React) and back-end (SQL, data pipeline) bottlenecks.
• You’ll make sure that the bytes behind the container boxes are shipshape, leading the collection, validation, and analysis of data behind global shipping rates.
• Large organizations can ship well over half a million containers a year. So one decimal in the wrong place is kinda a big deal. You’ll help make sure that doesn’t happen, implementing QA protocols to ensure accuracy, integrity and general awesomeness of our indexes and other data products.
• Spidey senses are good to nail down villains. You’ll rely on more conventional (and slightly more realistic) methods to ensure anomaly detection, data validation, and correction.

Requirements

Basic Requirements

• 3+ years of experience in data engineering and data analysis (or, as you probably know, SELECT * FROM candidates WHERE career_start_date < DATEADD(year, -5, GETDATE());
• Degree in Data Science, Computer Science, Statistics, or a related field. Sorry, Scarf Knitting doesn’t work.
• Strong proficiency in SQL and Python programming experience.
• Experience with ETL and data orchestration tools like Airflow. Actual music orchestra experience is cool too but totally unrelated.
• Understanding of RESTful APIs.
• Excellent problem-solving skills and attention to detail.

Preferred Requirements

• Experience with Google Cloud Platform (GCP).
• Knowledge of statistical analysis, regression models, and forecasting techniques.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g. Hadoop, Spark).
• Experience with logistics is nice. Hey, a company can dream, right?

Why Freightos is the Perfect Port for Your Career!

• We genuinely value work-life balance! We work hybrid, allowing you to enjoy quiet days at home, free from traffic, with in-office days, to meet your fabulous team face-to-face.
• We believe that employees who get better make us all better. We strive for professional development and continuous learning. Alongside career support and guidance, you’ll receive an annual training budget for personal and professional development.
•  We don’t just offer jobs—we offer a stake in something bigger. As part of Freightos, you’ll be eligible to receive equity incentive grants that vest over time, aligning your success with the company’s long-term growth. The more we build together, the more you benefit.
• A multicultural global team makes global freight easier. You’ll work with people from around the world, gain new perspectives, and experience diverse ways of thinking—fun and eye-opening!
• We know how to bond and have fun as a team: from engaging team activities to laid-back gatherings, there's always something to bring us together. We organize weekly team gatherings and creative activities, ensuring we stay connected, energized, and always having a great time together.
• Our offices are located in a lively area, and everything you need is just a short walk away. And forget typical boring office boxes, our space is anything but! We’ve got parking (no battle for spots), balconies with open views (no awkward window-to-window stares), and a sunny yard for those much-needed breaks. 

Freightos is an equal opportunity employer, committed to treating all potential employees fairly and ensuring equal opportunities for everyone.