דרושים » ניהול ביניים » data Engineer עבור חברה גלובלית באזור השרון

We are seeking a Data Engineer to join our growing data team to design, build, and maintain data pipelines and infrastructure. You will work on distributed systems, orchestration frameworks, cloud environments, and modern data technologies to ensure that data flows reliably and efficiently across the organization.
Key Responsibilities:
Optimize processes for scalability and efficiency in distributed environments.
Ensure data quality, integrity, and performance across workflows.
Work with cloud-native solutions and containerized environments (Docker/Kubernetes).
Implement and manage orchestration frameworks (Airflow/Dagster/etc.).
Collaborate with cross-functional teams to support business and research needs.
Develop and enforce CI/CD processes and data testing frameworks (pytest, GE, or similar).
Monitor, troubleshoot, and continuously improve pipeline reliability and performance.

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!

Required Senior Data Engineer - Core Data Platform Team
Our Core Data Platform team
We're a leading force in the ad tech industry, revolutionizing how brands connect with their audiences. Our platform processes billions of ad impressions daily, generating massive datasets that drive our core business. We thrive on innovation and seek a Senior Data Engineer to help us build and scale the data infrastructure that powers our insights and analytics. This is a unique opportunity to work with cutting-edge technologies and make a direct impact on our products.
What will you do?
As a Senior Data Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.
Your mission will be to:
Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

Required Data Engineer - Finance Solutions
The Finance Solutions team is a growing team that builds and owns products supporting the company's financial processes for internal users, customers (advertisers), and partners (publishers). Our core mission is to make finance operations simpler, more efficient, accurate, and trustworthy by continuously identifying and resolving pain points through automation, system integrations, and the use of AI. Our team operates in a truly international and heterogeneous environment, with members and partners split between Israel, France, UK and NY.
What will you do?
As a Data Engineer, you will be the backbone of our data-driven financial operations. You will focus on building and maintaining the infrastructure that turns raw financial data into actionable insights. You will serve as a technical liaison between engineering and business stakeholders to translate analytics requirements into scalable data solutions.
Collaborate with colleagues (engineering, product managers and finance) to understand data requirements and deliver data solutions.
Design, build, and maintain data models that are scalable, extendable and easy to use by other teams.
Design, build, and maintain scalable and reliable data pipelines to collect, process, and store data from various data sources.
Implement data quality checks and monitoring to ensure data accuracy and integrity.
Create and maintain dashboards and reports that provide visibility into key financial metrics like revenue, usage, and cost.