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DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. Join Our Team as a Senior Data Engineer at DRS RADA Technologies! Job Summary: We are seeking an experienced Senior 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 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.

We are seeking a highly skilled Senior Data Engineer to join our Data Group and help drive the development and optimization of our cutting-edge data infrastructure.
As a key member of the Platform team, you will play an instrumental role in building and evolving our feature store data pipeline, enabling machine learning teams to efficiently access and work with high-quality, real-time data at scale.
In this dynamic, fast-paced environment, you will collaborate with other data professionals to create robust, scalable data solutions. You will be responsible for architecting, designing, and implementing data pipelines that ensure reliable data ingestion, transformation, and storage, ultimately supporting the production of high-performance ML models.
We are looking for data-driven problem-solvers who thrive in ambiguous, fast-moving environments and are passionate about building data systems that empower teams to innovate and scale. We value independent thinkers with a strong sense of ownership, who can take challenges from concept to production while continuously improving our data infrastructure.
As a Data Engineer you will...
Design and implement large-scale batch & streaming data pipelines infrastructure
Build and optimize data workflows for maximum reliability and performance
Develop solutions for real-time data processing and analytics
Implement data consistency checks and quality assurance processes
Design and maintain state management systems for distributed data processing
Take a crucial role in building the group's engineering culture, tools, and methodologies
Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline.

We are looking for an experienced Data Engineer with expertise in cloud technologies, big data, and distributed systems to join our data engineering team.
This role requires the experience and skills to design and build key components and infrastructure for our global data teams (Data engineering, BI, Data science) with experience in designing, building, and maintaining streaming data pipelines and data lake architectures, together with hands-on expertise with technologies like Apache Spark, Kafka, and cloud-based data lake implementations.
As a Data Engineer you will
Build Infrastructure to empower our Engineers/Data Scientists/BI teams to work by best practices of data processing
Work in a high-volume production environment
Develop and manage ETL/ELT processes for structured and unstructured data
Collaborate with colleagues both locally and in remote locations
Influence the software architecture and working procedures for building data and analytics
Ensure data quality, integrity, and security within the data pipeline and data lake
Monitor, troubleshoot, and optimize data workflows to improve performance and reliability.

We are looking for a Data Engineering Lead to join our Platform Group. In this role, you will drive the development of scalable data pipelines and infrastructures that are crucial to our platforms success. You will collaborate across departments, and innovate to ensure our data ecosystem is robust, secure, and optimized for growth.
As a Data Engineering Lead you will...
Architect and develop data pipelines Lead the design and implementation of data pipelines that support our platform, ensuring high data quality, security, and governance. Introduce new tools and technologies to enhance data workflows and integration
Develop a strategic roadmap that outlines key engineering solutions to support our platforms scalability and performance, aligned with our overall vision and objectives
Collaborate across teams Work closely with internal teams including DevOps, BI, Product, and development groups to ensure seamless data integration and drive data-driven decision-making across the organization
Establish data guidelines and documentation Define best practices for data generation, consumption, and management within the platform. Create thorough documentation for all data processes to facilitate clear communication and future maintenance.