Role Description We're hiring a Senior to Staff-level Data Engineer to build and evolve the data layer that powers our grid analytics products. This is a hands-on data engineering role. You'll design pipelines, write transformations, and ship data that downstream consumers — data scientists, product engineers, and analysts — depend on daily. - Design, build, and maintain scalable data pipelines that transform and serve data for analytics and platform features - Ensure data quality, reliability, and observability across the pipelines and models you own - Collaborate with Data Science, Product Management, Software Engineering and Design to understand domain requirements and translate them into robust data structures and systems - Establish data engineering standards — modelling conventions, testing practices, documentation, and observability - Identify and address data technical debt, particularly where poor abstraction is creating complexity downstream - Mentor other engineers on data modelling, pipeline design, and transformation architecture Qualifications - 5+ years of data engineering experience with demonstrated impact at Senior or Staff level - Strong experience building and maintaining production data pipelines at scale - Hands-on experience designing layered transformation architectures (staging, intermediate, mart patterns) in production - Deep knowledge of modern data stack technologies (orchestration, transformation, storage, and streaming) and the Data Engineering lifecycle - Solid data modelling fundamentals — dimensional modelling (Kimball), relational theory, and a clear sense of when to apply different techniques - Experience with dbt or similar transformation frameworks - Solid software engineering fundamentals: version control, testing, code review, CI/CD - Fluency with AI-assisted development tools and workflows - Experience working closely with downstream consumers and designing data that serves their needs - A track record of bringing structure and clarity to complex or messy data landscapes Requirements - Experience in energy, utilities, or grid technology - Experience building data products with defined consumers, SLAs, and quality contracts - Time-series data or operational analytics experience - Background in data mesh principles or domain-oriented data architecture - Experience with distributed systems or stream processing - Experience with modern data orchestration tools (Airflow, Dagster, Prefect) - Cloud data infrastructure depth (AWS, GCP, or Azure) Benefits - Competitive salary and equity package - Remote-first, with head office in Sydney - A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter

Title: Data Engineer Location: Manila Philippines Employment Type Full time Department Finance & Executive Compensation ₱3M – ₱360M Job Description: CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies. We're on a mission to make businesses more human, and humans more impactful. We operate by our values - be intentional, pursue excellence every day, embrace the journey together, and be a good human - every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It's been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500 for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles. We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together! Data Engineer We're on a mission to shake up the status quo, and we're seeking passionate, innovative minds to join our journey. As a Data Engineer in CreatorIQ's GTM Ops organization, you'll play a pivotal role in building the data foundation that drives our business forward. Working closely alongside our Rev Ops analysts and data engineers, you'll help build, maintain, and scale the Snowflake environment and data infrastructure that our analytics and business operations teams depend on every day. From engineering reliable data pipelines to contributing to the architecture of our data warehouse and datamarts, your work will directly shape how we leverage data across the organization. Collaborating with analysts, BI developers, and business stakeholders, you'll turn raw data from our customer journey into democratized insight that accelerates decision-making. Immerse yourself in our performance-driven, fun, and highly motivated culture where we celebrate wins, learn from every challenge, and push each other to new heights. In this role, you'll get to: - Build and maintain our Snowflake environment - support the setup, configuration, performance tuning, and day-to-day administration of our cloud data platform alongside our team of data engineers - Architect scalable data solutions - contribute to the design and development of our data warehouse and datamarts, translating business requirements into reliable, well-structured data models - Engineer data pipelines that power decisions - develop and maintain ETL/ELT workflows that ingest, transform, and deliver high-quality data to analytics and business operations teams - Collaborate across the data ecosystem - partner with data analysts and business stakeholders to understand data needs and deliver solutions in support of reporting, analysis, and AI agents. - Elevate our data foundation - contribute to documentation, data governance, and best practices that improve the reliability, scalability, and accessibility of our data assets Who you are and what you'll need for this position: - 3-5 years of data engineering experience - you have a proven track record working in a data engineering or related role in a production environment - Proficient in SQL and Python - you write complex queries using window functions, CTEs, and optimization techniques, and you use Python to automate data workflows, API ingestion, and transformations - Hands-on with Snowflake - you support the management of Snowflake objects, virtual warehouses, roles, and cost monitoring, and you're comfortable contributing to environment health in a production setting - Experienced building and maintaining data pipelines - you build and maintain ETL/ELT pipelines using tools such as dbt or Fivetran, orchestrate jobs with Airflow or similar, and apply data testing and monitoring practices (e.g., dbt tests) to ensure reliability - Familiar with dimensional modeling - you understand star/snowflake schemas and can apply core data warehousing concepts to support datamart development in collaboration with data engineers on our team - Collaborative - You're equally comfortable whiteboarding pipeline logic with engineers and translating data concepts into plain language for non-technical audiences Preferred - Experience integrating B2B SaaS business systems into a centralized data platform - Experience with tools (e.g. Lucidchart) for documenting data models and architecture - Comfortable using AI coding assistants (e.g., GitHub Copilot, Cursor) to accelerate development and documentation Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. Have 50% of the criteria? Excited about this opportunity? Passionate about what we do at CreatorIQ? Please apply! CreatorIQ is a place where everyone can grow. What you will get from us: - People: work with talented, collaborative, and friendly people who love what they do. - Guidance: utilize our learning platform to fully get the training and tools you'll need to become successful here from your first day with us. - Surprise meal stipends: work from home can't stop the enjoyment of someone else making a meal for you! - Work/life harmony: 20 days vacation, floating and set holidays, wellness allowance, and paid parental leave. - Whole Health Package: medical, dental, vision, life, disability insurance, and more. - Work from home stipend: to assist you in setting up a home office that works for you (or buy a new dog leash - your choice!). Who we are: CreatorIQ is the operating system for creator-led growth. Trusted by more than 1,300 global brands and agencies-including Burson, Delta Air Lines, Google, LVMH, Nestlé, and Sephora-CreatorIQ unifies creator marketing across paid, owned, earned, commerce, and community into one seamless, enterprise-grade ecosystem. With industry-leading intelligence infrastructure, rigorous compliance and security standards, and integrations with Meta, Snapchat, TikTok, YouTube, and more, CreatorIQ empowers brands and agencies to harness the creator economy as a strategic growth engine. CreatorIQ is a global company headquartered in Los Angeles with offices in Austin, New York, San Francisco, London, Manila, and Warsaw. Learn more at www.creatoriq.com and follow us on LinkedIn and Instagram. At CreatorIQ, we believe that diversity is the key to unlocking our full potential. We are committed to fostering an inclusive, equitable, and empowering work environment where everyone can thrive, regardless of race, ethnicity, gender, sexual orientation, age, religion, disability, or any other characteristic that makes us unique. By embracing our core values of being intentional, pursuing excellence every day, embracing the journey together, being a good human, and staying focused on what's important, we create an atmosphere that promotes collaboration and growth. Join us to celebrate differences, innovate together, and be a part of a business that is disrupting the marketing industry. Compensation, benefits, and beyond: We understand that a comprehensive benefits package plays a significant role in your overall compensation. To gain more insight into the various components of our total compensation, we invite you to review our benefits and perks.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: CrowdStrike is establishing a FinOps practice to drive sustainable cost management across our fourteen product groups and eleven platform groups. The FinOps Engineer III will serve as a leader of this practice, establishing vision and strategy, while ensuring cost efficiency continues beyond our FY27 Cost Reduction Program. This is a hybrid role based out of our office in New York City, NY, CrowdStrike is establishing a FinOps practice to drive sustainable cost management across our fourteen product groups and eleven platform groups. The FinOps Engineer III will serve as a key technical contributor in this practice, implementing cost optimization solutions and building the technical foundation for our cost management capabilities. PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations. What You'll Do: Technical Implementation - Design and implement automated cost monitoring, alerting, and optimization solutions across cloud platforms - Develop and maintain cost allocation algorithms and tagging strategies for accurate cost attribution - Build integrations between cloud billing APIs and internal cost management systems - Create technical documentation and best practices for cost-efficient infrastructure patterns - Collaborate with platform teams to implement cost optimization recommendations Engineering Excellence - Develop tooling and automation to support FinOps processes across fourteen product groups and eleven platform groups - Build dashboards and reporting mechanisms for real-time cost visibility - Implement cost guardrails and automated policies to prevent cost overruns - Design scalable solutions for cost data collection, processing, and analysis - Contribute to the TechOps Analytics Data Solution FinOps requirements Cross-functional Collaboration - Partner with product engineering teams to identify and implement cost optimization opportunities - Work closely with Infrastructure Foundations Program to align technical solutions with FY27 Cost Reduction Program - Support FinOps Working Group with technical expertise and implementation guidance - Collaborate with Data Analytics Team on cost data pipeline development - Provide technical input for FinOps capability development roadmap Continuous Improvement - Research and evaluate new cost optimization tools and techniques - Contribute to FinOps governance structures and technical standards - Mentor junior engineers on cost-conscious engineering practices - Stay current with cloud platform pricing changes and optimization opportunities What You'll Need: Required Qualifications - Bachelor's degree in Computer Science, Engineering, or related technical field - 5+ years of software engineering experience with focus on cloud infrastructure - Strong programming skills in Python, Go, or similar languages - Deep hands-on experience with cloud platforms (AWS, Azure, GCP) and their cost management tools - Experience with infrastructure as code (Terraform, CloudFormation, etc.) - Proficiency with monitoring and observability tools (Prometheus, Grafana, DataDog, etc.) - Understanding of containerization and orchestration technologies (Docker, Kubernetes) - Experience with CI/CD pipelines and DevOps practices Preferred Qualifications: - FinOps Certified Practitioner certification (or commitment to obtain within 6 months) - Experience in cybersecurity or SaaS industry - Background with commitment-based discount programs (Reserved Instances, Savings Plans, CUDs) - Experience with data pipeline development and ETL processes - Familiarity with cost optimization tools (CloudHealth, Cloudability, etc.) - Knowledge of database optimization and performance tuning Key Competencies: - Strong analytical and problem-solving skills with attention to detail - Ability to translate business requirements into technical solutions - Excellent communication skills for collaborating with both technical and non-technical stakeholders - Self-motivated with ability to work independently in an emerging practice area - Passion for building efficient, scalable systems #LI-LY1 #HTF Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.For detailed information about the U.S. benefits package, please click here.

Role Description The Lead Data Engineer helps architect and lead the development of enterprise-scale data platforms and advanced analytics solutions across multiple business units and subject areas. In addition, they assist the project delivery team with scoping and planning integration projects and contribute to the design, implementation, and support of the data artifacts in the data lakehouse and databases. This role combines deep technical expertise with leadership and mentoring responsibilities, driving innovation and best practices across the data engineering function. - Support the Solution and Data Architect(s) to help lead the design, development, and optimization of scalable data platforms and analytics solutions that support global data strategy. - Architect and implement robust, scalable, metadata-driven pipelines in Databricks using Delta Lake, Unity Catalog, and declarative workflows. - Oversee the development and maintenance of Azure SQL database objects using advanced T-SQL for data quality and insight generation. - Drive performance, reliability and observability of real-time data processing using Spark Structured Streaming and Change Data Feed strategies. - Own CI/CD processes and infrastructure automation using Databricks Asset Bundles, Azure DevOps, and Infrastructure as Code. - Define and enforce standards for reusable, metadata-driven integration patterns, including Unity Catalog governance, Declarative Pipeline design, and data quality across the engineering team. - Manage and mentor a small team of data engineers, providing technical leadership, pair programming support, conducting design/code reviews, guiding technical decisions and aligning data engineering efforts with strategic goals. - Collaborate with cross-functional stakeholders to translate business and technical requirements into scalable data solutions, assisting the project delivery team to scope, plan and deliver new and enhanced data integrations. - Champion innovation, best practices, and continuous improvement in data engineering, while mentoring team members and fostering technical growth. - Evaluate and introduce emerging technologies to enhance platform capabilities. Qualifications - Extensive hands-on experience (6+ years) in cloud-native data engineering, including 3+ years with Databricks and Delta Lake in Azure, combined with good (2+ years) in a technical leadership or architecture role. - Deep practical experience of the Databricks ecosystem including Delta Lake, Unity Catalog, Declarative Pipelines, Spark Structured Streaming, Change Data Feed, Serverless SQL, and Cluster management & optimization. - Expert-level SQL skills, with a track record of designing performant queries, optimizing data models, and driving insight generation from large datasets. - Proficiency in multiple programming languages used in data engineering and analytics (e.g., PySpark, Scala, R, Python), with experience mentoring others in their use. - Deep understanding of cloud-native data architecture, including Lakehouse design principles, data integration patterns, and automation strategies. - Proven ability to design and deliver scalable, production-grade data pipelines, with a focus on reliability, maintainability, and performance. - Strong experience with CI/CD, version control (Git), ideally including Databricks Asset Bundles, and Infrastructure as Code, leading DevOps practices in data engineering teams. - Skilled in requirements gathering and solution design, translating business needs into technical specifications and guiding teams through delivery. - Demonstrated leadership in troubleshooting and resolving complex data and code issues, driving root cause analysis and long-term fixes. - Excellent communication and stakeholder engagement skills, with experience presenting architectural decisions, documenting processes, and influencing cross-functional teams. - Commitment to continuous improvement, staying current with emerging technologies and fostering a culture of learning and innovation within the team. Requirements - Hands-on experience with machine learning pipelines or integrating data engineering with advanced analytics and AI workflows. - Experience designing and implementing data mesh or domain-oriented data architectures in large-scale environments. - Test-driven development using common testing frameworks (e.g. pytest, nUnit, tSQLt, nBI, etc.). - Exposure to real-time integrations or IoT solutions e.g. Event Hubs, Service Bus, IoT and Event Grid in Azure; IoT Core, PubSub in Google Cloud; etc. - Familiarity with data governance frameworks, including data lineage, cataloging, and compliance (e.g., GDPR, HIPAA). - Background in delivering data-driven solutions for commercial real estate applications. - Degree in IT, Engineering, computer sciences, business IT degree or in any quantitative discipline. Skills & Personal Qualities - Strong communicator in English, both verbal and written, with the ability to engage effectively across global teams and all levels of the organisation. - Analytical and curious mindset, driven to solve complex problems and understand intricate technical systems and architectures. - Organised and detail-oriented, with a diligent, quality-focused approach and a strong sense of ownership. - Collaborative and proactive, able to build relationships, resolve conflicts, and contribute meaningfully within cross-functional teams. - Adaptable and dependable, capable of managing multiple priorities, meeting deadlines, and working independently or as part of a team. - Continuous learner, demonstrating initiative in technical self-improvement and staying current with evolving tools and practices. Company Description INCO: “Cushman & Wakefield”