דרושים » תוכנה » DBA SQL Server

Interactive, an international online lottery software and service provider, is the leading developer and provider of global e-Instant win games for the lottery industry.
We are seeking a quality and experienced MS SQL Server DBA Production team leader infrastructure and applicative.
The DBA team leader will be responsible for all DB aspects in the production environments.

Responsibilities:
Manage a DBA Production team, manage tasks, and set priorities.
Provide consultation on SQL Server for System Architects, Security Officers, Development DBAs, Tribes, and Product Owners.
Responsible for new teams employees' onboarding and training, and for the ongoing training and learning of the team
Responsible for the team off hours response to critical issues on production.
Perform as a production DBA.

Production DBA:
Performs performance tuning, Query optimization, database installations, configurations, updates, backups and monitoring.
Provide support for multiple environments development, test and production.
Anticipates, mitigates, identifies, responds and resolves problems affecting database performance, efficiency, and availability.
Improve and support processes to ensure zero application downtime on critical issues or during DB deployment of new application releases.
Work according to documentation, guidelines and policies of working procedures.
Clearly communicates problems and resolution process to customers and/or management.
Demonstrates dedication to outstanding customer service by continuously striving to deliver the highest level of customer service; makes recommendations for improving service and efficiencies.
Work according to documentation, guidelines and policies of working procedures.
Provide support for the operation teams 24/7 on call in off work hours only for critical issues (one week a month).
Maintains database security in compliance with APEI policies, GDPR and PCI security standards.

Were looking for a highly skilled Senior Database Engineer to join our DBA team. In this role, youll design and optimize Wixs large-scale database infrastructure while ensuring high availability, scalability, and performance. In your day-to-day, you will:
Design and optimize Wixs large-scale database infrastructure to meet high availability and performance standads .
Identify cost-effective areas for improvement in current databases .
Collaborate with developers and software architects to model, create, and maintain robust data structures and the Wix data layer .
Lead and execute technical database-related POCs and benchmarks .
Conduct regular audits of database design to ensure quality and compliance with service level agreements (SLAs) .
Quickly identify and resolve critical production issues and provide on-call support as needed.

We are looking for a Applied AI Team Lead.
As the Team Lead for our Applied AI team, you will join our Tel Aviv office. You will guide the day‑to‑day execution of innovative projects to help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the VP of Data Science, you will combine hands‑on technical leadership with people management skills, overseeing a team with rapidly-growing portfolio of mission-critical projects and collaborating with product, engineering, and other internal partners. Youll be responsible for leading every aspect of the development process, so that our cutting‑edge AI and data science capabilities get to production quickly, reliably, and with maximum impact.
Day to Day:
Lead a 5‑person team of data scientists and engineers, coordinating stand‑ups, code reviews, and 1‑on‑1s while also contributing hands-on to high-priority projects.
Oversee the development and implementation of a diverse project portfolio, focused on both customer-facing product features and internal business use cases.
Scope, execute, and deliver end‑to‑end AI and data science capabilities to meet the requirements of product owners and internal stakeholders.
Play a leading role in the development of AI-focused infrastructure and the implementation of best practices for engineering and data science.
Track project risks, dependencies, and costs, and make proactive adjustments to keep initiatives on time and aligned with requirements.
Stay current with the latest developments in AI technologies and tools, and identify opportunities to integrate the latest innovations into our products and workflows.
Recruit, onboard, and develop team members to help scale our Applied AI program and promote a culture of technical excellence.
Work an in‑person or hybrid schedule, with at least three days per week in our Tel Aviv office.

We are seeking a talented Full Stack Developer with strong expertise in Python and SQL to join our dynamic team. The ideal candidate will have substantial backend and data engineering experience, with the capability and willingness to support and develop features across the entire stack.
Responsibilities:
Develop, enhance, and maintain backend systems, particularly focusing on Python-based services and advanced SQL queries.
Handle extensive data engineering tasks, including translating Python analytics into optimized Snowflake SQL queries.
Support end-to-end feature delivery, contributing both backend and frontend development as required.
Ensure high-quality coding practices, efficient troubleshooting, and proactive improvement of platform components.
Actively participate in the teams agile practices, contributing to architecture decisions and overall technical direction.

Were looking for a Data Analyst for the Data Group to work alongside top-tier data professionals, data scientists, and data engineering teams. You will be an integral part of the group ecosystem, providing insights that impact hundreds of thousands of users by leveraging advanced data systems.
What will you be responsible for?
Deeply understand the architecture of Data Group, driving the development of advanced analyses and data models, while collaborating with cross-functional teams to design and implement enrichment logic within our data ecosystem.
Develop tools, build dashboards, and establish methodologies to analyze user behavior and enhance the data experience for users.
Leverage Data Lake to its fullest potential, utilizing cutting-edge data exploration and visualization tools to extract insights and drive data-driven decision-making.

We are looking for a Senior Data Scientist (Applied AI).
As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutionsquickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.
Day to Day:
Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.

we are seeking a strategic and data-driven Business Data Analyst to join our team!
In this role, you will play a key part in analyzing business performance, customer acquisition, and go-to-market strategies.
You will explore various data sources, develop key performance metrics, and identify opportunities to optimize our market penetration and customer engagement initiatives. Your insights will support strategic decision-making and help drive growth across marketing functions.
You will leverage your analytical expertise to deliver actionable insights that influence our business strategies and performance.
Responsibilities:
Develop a deep understanding of data models related to customer acquisition, marketing funnel, new products launches, revenue, and overall business performance.
Design and implement new data models, KPIs, and predictive analytics to support go-to-market and strategic initiatives.
Build, maintain, and monitor reports, dashboards, and metrics to track business health and growth targets.
Analyze data to identify trends, opportunities, and risks across customer segments and market channels.
Communicate insights and strategic recommendations to executive leadership and cross-functional teams.
Collaborate with stakeholders to align data initiatives with business objectives and become a trusted analytics partner.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.