Data Engineer, Data Platform

Databricks

P-1577 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. You will work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.  This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * 6+ years experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

WPP

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.   Why we're hiring: The Threat Intelligence Engineer is responsible for engineering, operating, and continuously improving WPP’s cyber threat intelligence platforms, integrations, and enrichment pipelines. This role focuses on how threat intelligence is ingested, processed, correlated, and operationalised at scale across security operations. The position is an engineering-led individual contributor role with no people management responsibilities.   What you'll be doing: * Engineer and maintain threat intelligence platforms and data sources. * Design ingestion pipelines for external, internal, and open-source intelligence feeds. * Maintain centralised repositories for indicators, threat actor artefacts, and metadata. * Integrate threat intelligence into SIEM, SOAR, EDR/XDR, email, identity, and cloud tooling. * Build enrichment pipelines linking incidents to threat actors, campaigns, and TTPs. * Partner with Automation Engineering to ensure intelligence is automation-first. * Provide engineered intelligence support to Incident Response during active incidents. * Enable Detection Engineering and Threat Hunting with structured intelligence outputs. * Support Vulnerability Management with intelligence on actively exploited vulnerabilities. * Build automation hooks between CTI platforms and SOAR workflows. * Enable safe, explainable intelligence use for agentic and automated decision support. * Improve intelligence delivery speed, accuracy, and signal-to-noise ratio. * Define and maintain engineering standards for CTI integrations. * Monitor feed efficacy and deprecate low-value intelligence sources. * Support audits, assurance, and documentation activities related to CTI.   What you'll need: * Experience engineering or operating enterprise threat intelligence platforms. * Hands-on experience integrating CTI with SIEM, SOAR, or EDR/XDR. * Strong capability in APIs, data transformation, enrichment logic, and automation. * Solid understanding of threat intelligence concepts and operationalisation. * Experience with Google Threat Intelligence, Recorded Future, or similar platforms. * Familiarity with MITRE ATT&CK and threat-led detection models. * Experience supporting incident response or detection engineering teams. * Relevant certifications (GCTI, GCIA, GCED, cloud security certifications). * Fluent in written and spoken English.   Who you are: You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.   What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid  We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. PLEASE READ OUR PRIVACY NOTICE (HTTPS://WWW.WPP.COM/EN/CAREERS/WPP-PRIVACY-POLICY-FOR-RECRUITMENT) FOR MORE INFORMATION ON HOW WE PROCESS THE INFORMATION YOU PROVIDE.

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. THE COMMUNITY YOU WILL JOIN The Quality Platform team is at the heart of Airbnb’s mission to deliver a seamless, high-quality experience for millions of hosts and guests. We don’t just find bugs — we build the systems that prevent them. Our team sits at the intersection of Quality Engineering, Infrastructure, and Applied AI. We are evolving how software quality is built by integrating LLMs, intelligent automation, and data-driven systems into the testing lifecycle. You will join a high-impact group of engineers focused on building AI-powered quality systems that scale across one of the world’s most complex codebases. THE DIFFERENCE YOU WILL MAKE As a Software Engineer, you will play a key role in building and evolving AI-native quality workflows across Airbnb. You will design systems that apply AI directly to the testing lifecycle, helping developers and quality engineers build, validate, and ship high-quality software at scale. In this role, you will: * Build AI Agents for the Testing Lifecycle: Design and implement AI agents that support developers and quality engineers across the testing lifecycle — from test case generation and evolution to automation and maintaining test coverage as the codebase changes. * Advance AI-Native Quality: Move beyond traditional automation by building systems that continuously adapt test coverage based on code changes and system behavior. * Improve Developer and QE Productivity: Identify bottlenecks in testing and CI/CD workflows, and solve them through intelligent automation that reduces manual effort and accelerates feedback loops. * Integrate AI into Engineering Workflows: Embed AI capabilities into real development environments, enabling both developers and quality engineers to receive contextual, actionable insights during development and testing. A TYPICAL DAY * Hands-on Development: Build end-to-end systems and tools (TypeScript, Swift, Kotlin, Java, Python) that will power Airbnb’s AI quality platform. This includes services, developer tooling, and UI surfaces that integrate AI into testing frameworks/infrastructure, CI/CD pipelines, and everyday developer workflows. * Applied AI: Develop AI-assisted capabilities such as context-aware agentic E2E validation on pull requests, agentic execution of business-critical flows as quality gates, agentic surface discovery and exploratory testing, and systems for test case generation, and coverage maintenance. * System Design: Participate in the design of scalable AI-driven systems operating within large-scale engineering environments. * Cross-Functional Collaboration: Work closely with Mobile, Infrastructure, Product Engineering, and Quality Engineering teams to integrate AI into real-world development workflows. * Experimentation & Iteration: Explore approaches such as prompt engineering and RAG (Retrieval-Augmented Generation) to improve system effectiveness and adaptability. * Mentorship: Provide technical guidance and help raise the bar for applying AI in engineering systems across the team. YOUR EXPERTISE * Experience: 4+ years of software engineering experience in high-scale environments, ideally building platforms, infra, or developer/quality tooling, with exposure to or strong interest in AI/ML or LLM-based systems. * Quality / DexEx/ Tooling Systems : Experience with testing frameworks, CI/CD pipelines, developer experience tooling, or quality engineering platforms. * Applied AI / LLMs: Hands-on experience building applications using LLMs (prompting, APIs, RAG, evaluation, or similar) is a strong plus. * Fullstack & Platform Engineering: Experience building both client and server-side systems. You can work on modern web/mobile stacks(Swift, Kotlin) and tooling, as well as the supporting backend services (Java, Python). * Systems Thinking: Understanding of distributed systems, CI/CD workflows, and large-scale software architectures. * Problem Solving: Ability to navigate ambiguity and design practical, scalable solutions. * Communication: Strong ability to collaborate across teams and explain complex concepts clearly. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.  We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.