Senior Data Engineer

Overview

Senior Data Engineer responsible for designing, building, and maintaining data pipelines, transformation layers, and data models for an enterprise lakehouse.

What you'll do

• Design and implement scalable batch and streaming data pipelines using Apache Spark, Kafka, and Flink.
• Build and maintain Bronze/Silver/Gold medallion architecture in the lakehouse (Delta Lake / Iceberg).
• Develop and optimize complex SQL and PySpark transformations for large-scale datasets.
• Integrate structured, semi-structured, and unstructured data sources into the lakehouse.
• Implement data quality checks and monitoring using Great Expectations or dbt tests.
• Write Infrastructure-as-Code for pipeline environments (Terraform, Helm).
• Mentor junior engineers and perform code reviews to enforce standards.

What you'll need

• 6+ years of data engineering experience with enterprise-scale delivery.
• Expert proficiency in Python and SQL; PySpark experience required.
• Hands-on experience with Apache Spark, Delta Lake, or Apache Iceberg.
• Experience with orchestration tools such as Apache Airflow, Prefect, or Dagster.
• Strong knowledge of cloud data services: AWS Glue, Azure Data Factory, or GCP Dataflow.
• Proficiency with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).
• Experience with dbt for transformation layer management.

Details

• Location: Remote - Hungary.