דרושים » דאטה » Senior Data Platform Engineer- Remote

We are seeking a seasoned and strategic Head of BI to lead our Business Intelligence group.
In this pivotal role, you will be responsible for overseeing the full BI stackfrom data infrastructure and pipelines to analytics and reportingwhile managing a team of data engineers and analysts.
You will drive the design and execution of our data strategy, ensure delivery of trusted insights across the organization, and lead the team responsible for building and maintaining our data platform and analytics capabilities. This is a hands-on leadership role requiring a balance of technical depth, managerial experience, and strategic thinking.Responsibilities
What Youll Be Doing:
Lead, mentor, and scale a cross-functional team of BI Analysts and Data Engineers.
Own and evolve our data warehouse architecture, ensuring integrity, scalability, and performance (Snowflake preferred).
Oversee the design and development of ETL/ELT pipelines and semantic data models using tools such as dbt, Python, and Airflow.
Collaborate with senior stakeholders to align business goals with data priorities, translating requirements into scalable solutions.
Define and implement best practices across the entire BI lifecycle: data ingestion, transformation, modeling, visualization, and governance.
Deliver robust, actionable dashboards and insights that drive key business decisions and KPIs.

Were expanding our Data & AI group and looking for a passionate and skilled Data & AI Engineer to join our mission. This is a unique opportunity to work at the intersection of data engineering, machine learning, and cybersecurity innovation.
You'll work on:
Data Infrastructure & Engineering: Design, build, and scale production-grade data pipelines using Databricks and Spark. Ensure high levels of data integrity, system performance, and platform reliability.
AI & ML Collaboration: Collaborate with Data Scientists, Security Researchers, and Engineers to transform and deliver data for ML and GenAI model development. Build proof-of-concepts (POCs) to streamline operations such as model debugging, visualization, and experimentation.
Innovation & AI Systems: Prototype and integrate agentic workflows and LLM-powered systems (e.g., RAG, AWS Bedrock, LangGraph). Identify and develop intelligent, data-driven features that provide actionable insights to customers.

We are looking for a skilled data engineer to join a cutting-edge project supporting a military technology unit. This role offers a unique opportunity to work on innovative cloud-based data infrastructure within a secure and challenging environment.

Responsibilities:
Data Infrastructure Development: Design, build, and manage advanced data infrastructure in Google Cloud Platform (GCP) to support the operational and analytical needs of the units clients.
Data Pipeline Engineering: Develop robust and scalable data pipelines in GCP, perform integrations with diverse data sources, and enable AI/ML workflows using tools such as Dataflow, Pub/Sub, and BigQuery.
ETL & DWH Automation: Improve, optimize, and automate ETL processes and data warehouse operations in the cloud.
Cross-Organizational Tech Support: Participate in high-impact, cross-organizational technology projects in a dynamic and innovative technical environment.

Required Senior Data Engineer
Herzliya
Were a passionate, collaborative, and professionally diverse Data Platform team, famous for building world-class high-scale infrastructure that processes tens of millions of events per second.
Now, were evolving our mission: applying our engineering excellence to the world of data engineering, metadata systems, and agentic AI.
This is a brand-new challenge, and were looking for an exceptional Data Engineer to join us.
If youre ready to pioneer the future of data engineering with AI, wed love to have you on board the rocketship
What youll do:
Architect metadata-aware data platforms that support scalable and observable pipelines
Create and evolve knowledge graphs, schemas, and lineage tracking systems
Drive the teams expertise in data modeling, schema evolution, and privacy-first engineering
Work with high-scale data ETLs and Data Serving layers on AWS and GCP.
Build and maintain data foundations for agentic AI systems.
Design and build advanced solutions to analyze metadata, identify data quality issues, and provide remediation insights.
Collaborate with internal teams across platform, product, and data domains.

We are seeking a highly skilled Senior Data Engineer to join our growing team. As a Senior Data Engineer, you will own the design, build, and optimization of data platform - powering analytics, and data-driven product features, the Data Engineer plays a crucial role in designing and overseeing all BI and analytics solutions. They collaborate closely with various departments such as Product, R&D, BizDev, and Executive teams to address their data analysis requirements. Additionally, they hold responsibility for essential financial and operational metrics.

This role offers the opportunity to make a significant impact in a fast-paced, high-growth environment while tackling meaningful challenges that directly advance our mission. , we leverage a modern data stack, including Snowflake, DBT, Python, and Fivetran, built on infrastructure-as-code and CI/CD best practices, and increasingly explore AI-driven solutions to enhance data quality, automation, and insight generation.

RESPONSIBILITIES
Design and maintain scalable data models and schemas in DBT/Snowflake to support analytical and operational workloads.

Build, optimize, and document robust ELT pipelines in SQL, Python and DBT for batch and near-real-time data ingestion.

Lead initiatives to explore and integrate AI-driven approaches that enhance data workflows, insights and end-users self service.

Implement automated data-quality testing, monitoring, and alerting to guarantee trustworthy and timely data.

Collaborate with Product and Engineering teams on event instrumentation, features analysis, schema design and data governance standards.

Partner with Analytics and Data Science to translate business questions into engineered data solutions.

Mentor junior engineers and analysts, championing best practices in coding, documentation, and peer review.

Tune warehouse performance and manage cost efficiency.

We are looking for a talented and experienced big data engineer to join our cyber defence group to take over a cutting-edge data solution.
The successful candidate should have hands-on experience with big data processing technologies and architectures.
The candidate will join our growing team of analysts, developers, data scientists, and architects who design and develop innovative solutions to the most critical needs of our customers.
Responsibilities:
Designing, architecting, implementing, and supporting our data pipelines and processing flows.
Collaborate with analytics department to analyze and understand data sources.
Provide insights and guidance on database technology and data modelling best practices.
Insure the maintenance of data integrity, managing data and analysis flows with attention to detail and high responsibility.
Implementing algorithms with our data scientists.

At CodeValue , we specialize in delivering cutting-edge software solutions and driving innovation across industries. We are now looking for a Data Engineer to join our team and play a key role in building and optimizing large-scale Big Data systems in production environments.
Key Responsibilities
* Design, implement, and maintain Big Data pipelines in production.
* Work extensively with Apache Spark (2.x and above) , focusing on complex joins, shuffle optimization, and performance improvements at scale.
* Integrate Spark with relational databases, NoSQL systems, cloud storage, and streaming platforms
* Contribute to system architecture and ensure scalability, reliability, and efficiency in data processing workflows.

We are now looking for a Data Engineer to join our team and play a key role in building and optimizing large-scale Big Data systems in production environments.

Key Responsibilities:
Design, implement, and maintain Big Data pipelines in production.
Work extensively with Apache Spark (2.x and above), focusing on complex joins, shuffle optimization, and performance improvements at scale.
Integrate Spark with relational databases, NoSQL systems, cloud storage, and streaming platforms.
Contribute to system architecture and ensure scalability, reliability, and efficiency in data processing workflows.

Required Experienced Python Data Engineer‏
Herzliya, Israel
About The Position
Experienced Data Engineer? Excellent team player?
Come join a great team to overcome meaningful cyber challenges!
About The Position
Our Data Solutions Group is looking for an exceptional Python developer with Data Engineering experience.