Position: Data Engineer
Company: Adaptiq
Category: Data Engineer
Experience required: 2y
English level: intermediate

Gett is looking for a an ambitious Senior Data Engineer to take part in building the next generation of our product - Ground Transportation Solution on a cutting-edge tech stack.

Gett was established 12 years ago, as a ride-hailing solution, and since then has expanded its activity globally, across Europe and the United States.

Nowadays, Gett is a Ground Transportation Solution with the mission to organize all the best mobility providers in one global platform - optimizing the entire experience from booking and riding to invoicing and analytics, to save businesses time and money. We work with a third of the Fortune 500 companies and have over 17K active business customers across the world.

The GTM - the Ground transportation management, is a worldwide 1.4 trillion market involving Drivers, Riders, Suppliers, and Businesses, and a secured product platform and the marketplace are crucial for successful operation.

**Background:**
Gett is a Ground Transportation Solution with the mission to organize all the best mobility providers in one global platform - optimizing the entire experience from booking and riding to invoicing and analytics, to save businesses time and money. We work with a third of the Fortune 500 companies and have over 17K active business customers across the world.

**The Role:**
Gett’s Data team is looking for a talented Senior Data Engineer to join us.
The Senior Data Engineer will be a key member of the data team, in the core of a data-driven company, developing scalable, robust data pipelines, data models, and to provide business intelligence.
Come and work in an evolving, challenging environment with a variety of data sources, technologies, and stakeholders, to deliver the best solutions to support the business and provide operational excellence.
 
**Responsibilities:**
●  Building the next generation of the Data Warehouse, moving from old and legacy models into more robust.
●  Building new ETL pipelines and bugfixing old ones.
●  Improve data quality and ingestion; identify root cause of data issues and provide resolution ensuring accuracy and trust in everything we build.
●  Ensure that the local data needs are taken into account by the global BI team.
●  Debug reports or automatic Python scripts and ensure the reporting server infrastructure is connecting correctly to our main data sources.
●  Contribute to pieces of analysis to inform business decisions.

**Requirements:**
●  Minimum 2 years of experience in software development/data engineering/business intelligence - **A must**.
●  Strong experience in data modeling, ETL development, and data warehousing - **A must.**
●  Experience with Python - **A must.**
●  Big data technologies (Spark , Hive, Spark, Presto, Airflow) - **An advantage.**
●  Experience working with AWS big data technologies (S3, EC2, EKS) - **An advantage.**
●  Knowledge in containerized environments (Docker, Kubernetes) - **An advantage.**
●  Knowledge of infrastructure and DevOps (CI/CD, Terraform) - **An advantage.**