דרושים » תוכנה » Database Administrator 2563

We are seeking a highly skilled and versatile Senior Data Infrastructure Engineer to join our team and participate in the design, implementation and maintainance of cutting-edge Data Platforms and Big Data solutions. This position allows you to have the unique opportunity to significantly impact intelligence processes, contribute to counter-terrorism efforts by leveraging advanced Big Data technologies.
This role combines expertise in Big Data Infrastructure, Big Data Engineering, architecture and support of critical operations and intelligence processes.
עוד על התפקיד
Design, install, maintain and upgrade Big Data technologies.
Monitor and optimize system performance, identifying areas for improvement and implementing solutions.
Provide technical support to internal teams and end-users, ensuring seamless operations.
Conduct POCs and recommend adoption of new technologies and tools in the Big Data domain.
Develop automation solutions for infrastructure management, empowering teams to operate efficiently.

we are looking for a Data Infra Tech Lead.
The Data Group builds and maintains the core data assets that power our products, from our Company and Contact databases to our Connect and Recommendation systems. The Data Tech Lead sits at the forefront of that mission, leading engineering innovation that directly shapes the experience of our growing user base and drives the evolution of intelligent data services.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
Your impact and responsibilities:
Leading the design and development of scalable, high-performance data workflows, including both batch pipelines and real-time data products.
Defining, implementing, and enforcing engineering best practices related to code quality, testing, CI/CD pipelines, observability, and documentation.
Mentoring, supporting, and growing a team of data engineers, fostering a collaborative and high-performance engineering culture.
Identifying opportunities to create new data assets and features that expand product capabilities and value proposition.
Driving architectural decision-making in areas of data modeling, storage solutions, and compute resources within cloud environments such as Databricks and Snowflake.
Collaborating closely with cross-functional stakeholders- including Product, DevOps, and R&D - to ensure effective delivery and platform stability.
Promoting and championing a data-driven mindset across the organization, balancing technical rigor with business context and strategic goals.

we are looking for a Big Data Engineer.
As a Senior Big Data Engineer, working within Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.
RESPONSIBILITIES:
Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

Were looking for a Data Engineering Team Lead to take ownership of Ports data engineering team and help shape the future of agentic engineering portals. This is a hands-on leadership role: youll guide a team, drive technical direction, and help establish Ports data warehouse both for product use cases and for internal business analytics.

What youll do:

were building a platform by developers, for developers. As a Data Engineering Team Lead, youll balance leadership and data engineering work - setting technical direction while enabling your team to thrive.

Your responsibilities will include:

Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements.
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs.
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into a shared data warehouse.
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency.
Develop and provide a data backend for product facing features such as usage analytics, data insights and enabling an agentic context lake
Collaborate with cross-functional teams (product, R&D, analysts) to deliver actionable data solutions tailored to their needs.

Were seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role youll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of todays energy landscape.
This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. Youll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.
What Youll Do:
Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
Ensure data quality and consistency for accurate analysis and reporting.
Conduct statistical analysis and use data visualization tools to present findings.
Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
Provide data-driven insights and recommendations to support decision-making processes.
Interpret and communicate results to customers and management in a clear and concise manner.
Present key findings of your analysis to customers around the globe.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Data Engineering Team Leader In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
?A day in the life and how you’ll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

we are looking for a talented and Senior Data Engineer to join our data group.
The team is responsible for processing and transforming data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities:
Designing and implementing data platform
Transforming, modeling, and serving all medical data.
Utilize data best practices, to improve the product and allow data-driven decision-making.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in the data field.

We are looking for a Senior Data Platform Engineer to join our growing Platform team and help build the foundation that powers our products, analytics, and data-driven decision making.

In this role, you will design, build, and operate the core data infrastructure that enables engineering teams to move fast while maintaining reliability, scalability, and operational excellence. You will work across databases, streaming systems, data lakes, cloud infrastructure, and platform services, solving complex challenges around scale, performance, and resilience.

As a senior engineer, you will play a key role in shaping our data architecture, driving technical decisions, and mentoring other engineers.

Responsibilities
Design, build, and operate scalable data platform services and infrastructure.
Develop high-quality software for distributed systems and data-intensive applications.
Design and optimize data storage solutions across operational databases, data lakes, and analytical systems.
Drive database performance improvements through query optimization, indexing strategies, schema design, and capacity planning.
Build and maintain event-driven architectures and streaming data pipelines.
Develop and improve data ingestion, transformation, orchestration, and processing frameworks.
Partner with product, engineering, analytics, and AI teams to deliver scalable and reliable data solutions.
Improve platform reliability, observability, and operational excellence through automation and engineering best practices.
Build and enhance CI/CD pipelines, deployment processes, and developer tooling.
Lead architecture discussions and contribute to long-term platform strategy.
Troubleshoot complex production issues and drive root-cause analysis and preventative improvements.
Mentor engineers through code reviews, technical guidance, and knowledge sharing.

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.

Responsibilities

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.

Responsibilities

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.