Position: Data Engineer - Poland
Company: Adaptiq
Category: Data Engineer
Experience required: 2y
English level: upper
Published: 2022-11-01T00:00:00+02:00

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.
Our system is developed mostly using Golang, runs in AWS, and involves ML at the applicable areas, to provide the best transportation solution for our customers, and maximizes Gett’s performance.

Gett’s Data team is looking for a talented Data Engineer to join us.

The Data Engineer will be a key member of the data team, at the core of a data-driven company, developing scalable, robust data pipelines, data models, and to provide business intelligence.

**Responsibilities:**
- Building the next generation of the Data Warehouse, moving from old and legacy models into more robust.
- Building new ETL pipelines and bugfix old one.
- 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.