Data Engineer

Description

About Us

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. 

WebCargo by Freightos is a critical part of the Freightos puzzle. With over a decade of experience digitizing digital freight sales, pricing, quoting and online bookings, we’re literally taking off. This isn’t some social media app; it’s providing the platform that quite literally helps freight companies connect the world. Are you getting goosebumps?  Good.

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.

That’s where we come in.

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. 

Call it a full stack engineer…but it’s so much more. 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

• Develop, test, and optimize SQL queries for performance and scalability, ensuring low latency and minimal errors.
• Create new ETL/ELT processes and optimize existing ones. Own data warehousing process and data quality monitoring, using the latest tools and frameworks to enhance efficiency.
• Deploying, managing, and optimizing databases within Docker containers, including creating and maintaining Docker images for databases like MySQL
• Build and maintain APIs and back-end services that enable seamless access to large datasets. Which also keeps us hAPI..
• Mentor and guide junior engineers in best practices related to data engineering and SQL optimization. 
• Work closely with product and data teams to define and deliver technical solutions aligned with business goals. 
• 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.

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, -3, GETDATE());
• 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.
• High level of business English (written & verbal).
• Strong project management, problem solving, organizational skills, attention to detail, and ownership. 

Preferred requirements

• Experience with low-latency databases such as TimescaleDB, Cassandra, ClickHouse, CockroachDB, or similar technologies.
• Experience with Google Cloud Platform (GCP).
• Knowledge of statistical analysis, regression models, and forecasting techniques.
• Familiarity with data visualization tools (e.g., Domo, Zoho Analytics, Tableau, Power BI) and big data technologies (e.g. Hadoop, Spark).
• Experience with logistics is nice. Hey, a company can dream, right?
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Why WebCargo by Fr