About The Position
International freight is big. Like, really, really big. If it was a basketball player, it would be Dikembe Mutombo. And you’d be amazed how offline it is (freight, not Dikembe; he’s online right here). Back to freight - WebCargo, part of the Freightos Group, digitizes global freight sales for over 2,000 of the world’s largest logistics providers and carriers. And it’s growing like crazy, with more than a 500% year on year growth in bookings.
We’re not alone either; WebCargo ispart of the Freightos Group, a logistics technology company that’s raised nearly $100 million from investors like GE Ventures, the Singapore Exchange and Aleph, and have gotten the BBC, TechCrunch, and the Wall Street Journal excited about freight.
Much like our good looks and freight jokes, data is a strategic differentiator for the Freightos Group. Want proof? Our Freightos Baltic Index (FBX) is the world’s definitive container shipping index (think S&P 500 for containers) and regularly shows up in everything from the New York Times to the World bank reports With the world’s largest online platform, we have a lot to count and...engineer.. We use data to analyze user behavior, funnel conversion, pizza consumption (if only),features to different user segments, build financial models to drive long-term planning, optimize our coffee machine operation time and much more.
But there is so much data and so little time. So we’re looking for an anything-but-median Data Engineer to write the SeQueL (see what we did there?) to our wonderful journey, creating new metrics and insights, and being the focal point of all technical aspects of our BI activity. We’ll give you our data, you give us ideas, actionable insights, and pretty charts.
Roles & Responsibilities
- Like a supermodel’s makeup, let’s start with the foundation. You’ll help redesign and implement data architecture from a variety of data sources that can support multiple business units with different needs and data.
- Create and maintain accurate datasets that are clean, and trustworthy for data analysts, business users, our product team, media, and our mothers, who get so proud when they see charts up and to the right.
- Manage BI visualization tool for their business unit (monitoring, administration). Extra points if you can get the charts to look like Bart Simpson’s hair.
- Outline specific data needs for each analysis project with department managers, key stakeholders, and our coffee guy.
- Together with management, define the KPIs and then convert them into dashboards and reports we can watch while sipping piña coladas and crushing business goals. Working alongside teams within the business or the management team to establish business needs
- Impress us by identifying, analyzing and interpreting patterns in complex data sets. Or simple data sets. Honestly, we like the patterns, we care less how its done.
- Work closely with R&D team to spec and develop data requirements. Treat them nice. We like them.
- Create and maintain in-house and customer-facing reports and dashboards. No pie charts though. Or maybe just one.
- Collaborate with other data engineers & analysts to establish best practices, share knowledge and document architecture
- Select * Where ‘SQL_Skills’ > incredible. 5+ years SQL. Advanced skills
- Experience designing and implementing complex, clean, and scalable data pipelines and transformed datasets
- Unless you have a TI calculator you really love, you’ll need a strong grasp and experience with reporting packages, databases, BI tools etc.
- Experience in data Visualization and Presentation: You understand how to visualize data, how users interact with charts and which charts to use for each specific need.
- Strong critical and analytical skills with the ability to collect, organise, analyse, and disseminate huge amounts of information. But not the expense of detail or accuracy.
- Beyond the language of 10101010, you have excellent English language skills, both written and verbal
- A team player and detailed oriented (we copied that one from some big corporation and felt like it sounded cool)
- Strong project management and organizational skills
- Experience using BigQuery and/or other GCP products
- Experience working with remote teams