Locations

• Bulgaria
• Lithuania
• Poland
• Romania

Company Background

Our client is an international team of industry and domain experts focused on transforming the travel and transportation industry through advanced, data-driven technologies. By applying deep learning and modern analytics, the company helps airlines maximize revenue, improve forecasting accuracy, and achieve commercial success at scale.

Project Description

You will be responsible for onboarding new customers and delivering high-performance, reliable data pipelines. You will work closely with customers and internal stakeholders to ensure rapid time-to-value, building scalable data ingestion, transformation, and analytics solutions on Google Cloud Platform. The position involves daily hands-on work with core data engineering tools and occasional use of streaming, infrastructure, and container orchestration technologies. The role also includes participation in on-call support to ensure production reliability.

Technologies

• DBT
• Google BigQuery
• Google Cloud Storage
• Google Composer (Apache Airflow)
• Python
• Docker
• Kafka
• Google Dataflow
• Terraform
• Google Kubernetes Engine (GKE)

What You'll Do

• Deliver complex customer data ingestion and data warehousing projects
• Build, maintain, and optimize data transformation workflows using DBT
• Develop scalable, standardized ETL/ELT pipelines with enterprise-grade quality
• Orchestrate and monitor data workflows using Google Composer (Airflow)
• Collaborate with stakeholders across data discovery, ETL development, QA/QC, and SLA definition
• Support onboarding and ingestion of new data sources
• Maintain and evolve analytical data models
• Define and implement data validation and testing frameworks
• Provide production support via PagerDuty

Job Requirements

• 5+ years of experience in Data Engineering
• Strong hands-on experience with DBT
• Solid experience with Google BigQuery as a primary analytical data warehouse
• Experience working with Google Cloud Storage
• Daily experience with Google Composer / Apache Airflow
• Strong Python skills for data pipelines and automation
• Experience with Docker
• Familiarity with Kafka for event-driven or streaming ingestion
• Experience with Google Dataflow for batch and streaming processing
• Exposure to Terraform for infrastructure-as-code
• Experience with Google Kubernetes Engine (GKE)
• Strong understanding of data quality, reliability, and scalability best practices
• Willingness to participate in on-call support
• English level: B2 (Upper-Intermediate) or higher

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.