Question
Full-time
5-10

Data Engineer

1/13/2026

The Data Engineer will design, develop, and optimize ETL/ELT pipelines for large-scale data processing. They will also implement best practices for data governance, security, and monitoring.

Working Hours

40 hours/week

Company Size

501-1,000 employees

Language

English

Visa Sponsorship

No

About The Company
A subsidiary of Leonardo DRS, we are focused on proprietary radar solutions and legacy avionics systems.
About the Role

DRS RADA is a leading defense high-tech company specializing in radar systems development. We are seeking an experienced Data Engineer to join our data engineering team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and infrastructure to support our AI department. This is an opportunity to work with cutting-edge technologies in a fast-paced production environment, driving impactful, data-driven solutions for the business.

Key Responsibilities:

  • Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
  • Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow, and Azure services.
  • Troubleshoot and optimize queries and jobs for performance improvements.
  • Implement best practices for data governance, security, and monitoring.
  • Stay updated with industry trends and emerging technologies in data engineering.

If you're passionate about building scalable data solutions and thrive in a fast-paced environment, we’d love to hear from you!


Requirements

  • 4 years of experience in data engineering or related fields.
  • Proficiency in Python for data processing and automation (mandatory).
  • Deep understanding of Apache Spark and Databricks for big data processing (mandatory).
  • Experience with Git (mandatory).
  • Expertise in Apache Airflow for workflow orchestration.
  • Familiarity with cloud-based environments, particularly Azure.
  • Advanced proficiency in SQL and query optimization.
  • Familiarity with data modeling, ETL/ELT principles, and performance tuning.
  • Knowledge of CI/CD and containerization (Docker).
  • An enthusiastic, fast-learning, team-oriented, and motivated individual who loves working with data.
Key Skills
Data EngineeringPythonApache SparkDatabricksGitApache AirflowAzureSQLETLELTData ModelingPerformance TuningCI/CDContainerizationData GovernanceData SecurityMonitoring
Categories
TechnologyData & AnalyticsEngineeringSoftware
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