Who are we?
WTX was recently founded to disrupt how heavy-duty vehicles trade globally and we believe the current process of buying or selling trucks worldwide is too complicated, nontransparent, and underoptimized.
It doesn't need to be this way...
Our mission is to make the whole experience of trading trucks globally seamless, from finding a truck online to more efficiently and reliably being delivered with matching technology.
We are powered by KI group, investors, and partners in the industry with a proven track record of co-founding and running successful and impactful businesses worldwide.
The data team is now starting and is responsible for building solutions that facilitate transactions between buyers and sellers of our platform.
We're aiming to create a personalized experience leveraged by technology and data optimizing how people find and buy trucks while at the same time creating solutions that reduce the complexity of the fulfillment process by finding best allocations and optimal routes.
On the technical side, it's time to level up our code design, engineering best practices, performance, and cloud operations to fit a larger team and the needs of the business.
We have a remote-friendly policy, so our team members are able to work from home but also leverage our cool office in the center of Lisbon (Avenida Almirante Reis).
Up for the challenge?
You will be responsible for :
Develop and automate high performance data processing systems to feed both analysis and future data features
Design our data models for optimal storage and querying to meet critical product and business requirements (timely and reliable)
Own the company data warehouse and tailor it to the organization needs
Ensure standard ETL processes are in place with special focus on Transformation (good cleansing, deduplication, verification, sorting)
Contribute to shared Data Engineering tooling & standards to improve productivity and quality output of Data Scientists and Data Analysts
Support data analysts, product teams, marketing, ux researchers and business developers on reliably adding new data sources
Closely collaborate with the CloudOps team on implementing and managing our data infrastructure
To ensure your success, you’ll need :
3+ years experience working as data engineer, or similar role
3+ years experience working with SQL, Python
Bachelor's and / or Master's degree, preferably in CS, or equivalent experience
Demonstrated ability to reliably manage large data sets (from storing to using)
Experience designing, deploying and managing data warehouses is a big plus
Cloud Operations skills (Azure) is a big plus
Working knowledge of relational databases (non relational are a plus as well)
English communication skills, both written and verbal
Comfortable in working on an early stage fast paced environment
Independent and hustler attitude constantly pushing toward achieving the goals
What you can expect :
Be one of the first people joining the team with direct impact on creating a data driven culture
Big ownership and freedom on how to develop the solution
Be part of an early stage startup with global ambitions
Competitive compensation package
State of the work setup (headset, laptop, screen etc )
A remote-friendly working environment
A work culture and team that encourages you to learn and grow
Recruitment Process :
Our recruitment process is comprised of 4 stages :
Cultural fit interview
Tech follow up interview
Final Interview (Managing Director & CTO)