Data Loss Protection Consultant (Qatar location)

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box is building the industry's most trusted, secure content and AI platform. Our Production Security Tools team is seeking a Security Tooling Engineer II with curiosity and a security mindset to help build and operate infrastructure security across our tooling stack, including monitoring, vulnerability scanning, data loss prevention (DLP), and hardening checks. In this role, you will implement and operate security tooling and controls under the guidance of senior engineers; collaborate with engineering, privacy, legal, and other security teams to reduce data exposure and configuration risk; and help keep Box's infrastructure secure-by-design and secure-by-default while enabling rapid, responsible product development and AI adoption. WHAT Y

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU’LL DO Modernize the profit-and-loss reporting platform that helps finance, management, and investment teams understand firm performance with greater accuracy and speed Design scalable data pipelines and reconciliation workflows that improve the reliability, transparency, and timeliness of critical finance data Build analytical applications and reporting capabilities that turn complex valuation and performance data into clear, actionable insights Develop validation and adjustment tools that strengthen controls, reduce manual effort, and support accurate reporting across business processes Partner with controllers, valuation specialists, and Technology colleagues to translate business needs into robust, maintainable software Own features through design, development, testing, deployment, and ongoing support in a collaborative engineering environment Analyze data flows and calculation logic to anticipate reporting needs, identify gaps, and improve end-to-end process

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. This is a full-time position offered exclusively on a Contract of Employment (Umowa o Pracę) . Please note that this is a hybrid role , requiring employees to work from our Warsaw office (Centrum Koneser) at least 3 days per week . We are not considering fully remote or B2B arrangements for this position. About Open Intelligence : We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of all global media spend flowing through WPP, our platform operates at the core of this massive network—deeply integrated and adopted by the largest supply-side partners in the AdTech industry.Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the population

The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, you will also partner both with business stakeholders and with the Data Infrastructure team. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve Design, implement and scale end-to-end data products that support growing data processing and analytical needs. Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams. Leverage AI to build self-serve tools and accelerate Data/GTM workflows. Establish trust and strong relationships across business and technical teams, ensuring alignment on data strategy and execution. Implement systems that guarantee data quality, governance, and availability. About you 3+ years of hands-on experience in Data Engineering or Software Engineering. Degree in computer science, engineering or equivalent technical field experience. Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow. Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java). Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively. Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders. Demonst

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Data Scientist, Commercial Analytics will leverage advanced analytics, machine learning, experimentation, and predictive modelling to identify growth opportunities, reduce customer churn, optimize territory and account planning, and support strategic decision-making across the commercial organization. This role works with large-scale customer, sales, product usage, and financial datasets to develop scalable analytical solutions that influence key business outcomes. It aligns closely with commercial priorities such as Annual Recurring Revenue (ARR) growth, retention, expansion, customer lifetime value, sales effectiveness, and portfolio optimization. Responsibilities: Develop, deploy, and maintain machine learning models that support Customer churn prediction, Upsell and cross-sell propensity scoring, Whitespace opportunity identification, Customer lifetime value prediction, Renewal risk assessment and Sales forecasting. Apply advanced statistical techniques to identify key drivers of customer behaviour and commercial performance. Design and evaluate experiments to improve acquisition, retention, and expansion outcomes. Build analytical frameworks to improve Sales and Annual Recurring Revenue (ARR), Customer retention, Expansion revenue and Sales productivity. Conduct deep-dive analyses into customer, product, and sales performance. Create segmentation models that support territory design, account pl

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Data Engineering initiative inside box is expanding and this role will help build the data platform engineering features and capabilities of the cloud cost management platform. In this role you will be working alongside our team building data pipelines, support our product and analytics team members, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. WHAT YOU'LL DO Work with a team of high-performing data engineers and analysts to identify business opportunities, design and build scalable data solutions Build and own data pipelines that clean, transform, and aggregate data from disparate sources Create and maintain optimal data pip