Lead Big Data Engineer

Location: Bulgaria, Poland, or Romania; remote or office work

Company

hirify.global provides engineering and technology services focused on data and analytics solutions.

What you will do

• Design, develop, and maintain scalable data pipelines for batch and streaming workloads.
• Build and optimize data processing solutions with Python, SQL, Java, Apache Spark, and Databricks.
• Create cloud-native data architectures using GCP services including BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Storage.
• Implement data transformation, modeling, and analytics engineering practices with dbt and Dataform.
• Translate data requirements into technical solutions in collaboration with stakeholders, architects, and engineering teams.
• Support the full delivery lifecycle from PoCs and MVPs to production deployments and platform enhancements.

Requirements

• 5+ years of professional experience in Big Data or Data Engineering.
• Advanced Python and SQL skills for large-scale data processing and transformation.
• Hands-on experience with Google Cloud Platform, Apache Spark, Cloud Dataflow or Apache Beam, and Databricks Lakehouse concepts.
• Experience with orchestration tools such as Apache Airflow or Cloud Composer, and streaming technologies such as Apache Kafka or Google Cloud Pub/Sub.
• Strong knowledge of BigQuery, cloud data architectures, dbt, and Dataform.
• Upper-intermediate or higher English proficiency required. Strong analytical, troubleshooting, problem-solving, and communication skills are expected.

Culture & Benefits

• Remote or office work arrangement.
• Collaborative engineering environment.
• Participation in technical design discussions, architecture decisions, and continuous improvement initiatives.
• Work across the full project lifecycle, from discovery and solution design to implementation and production deployment.