Senior Data Engineer (Python/SQL)

Location: Remote - Hungary

Company

hirify.global is committed to building an inclusive and accessible work environment that supports employees and customers from diverse communities.

What you will do

• Design and implement scalable batch and streaming data pipelines using Apache Spark, Kafka, and Flink.
• Build and maintain Bronze, Silver, and Gold medallion architecture in the enterprise lakehouse using Delta Lake or Iceberg.
• Develop and optimize complex SQL and PySpark transformations for large-scale structured, semi-structured, and unstructured datasets.
• Collaborate with data architects on physical and logical data models, data quality checks, monitoring, and transformation layers.
• Write infrastructure as code, participate in code reviews, troubleshoot data incidents, and mentor junior and mid-level data engineers.

Requirements

• 6+ years of data engineering experience with a record of enterprise-scale delivery.
• Expert proficiency in Python and SQL, with required hands-on PySpark experience.
• Experience with Apache Spark, Delta Lake, or Apache Iceberg.
• Experience with Apache Airflow, Prefect, or Dagster, plus cloud data services such as AWS Glue, Azure Data Factory, or GCP Dataflow.
• Proficiency with Git, CI/CD pipelines, Docker, Kubernetes, dbt, and related engineering practices.
• Bachelor's degree in Computer Science, Engineering, or a related technical field.

Nice to have

• Experience with Databricks, Snowflake, or Apache Hudi.
• Knowledge of streaming architectures and Apache Kafka.
• Databricks Certified Data Engineer or AWS Data Analytics Specialty certification.

Culture & Benefits

• Inclusive and accessible work culture focused on respect and support.
• Commitment to a workforce that reflects the diversity of customers and communities.
• Accommodations are available by request throughout the selection process.