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We are seeking talented and passionate Senior Data Engineer to join our Data team. In this pivotal role, you will be instrumental in designing, building, and optimizing the critical data infrastructure that underpins innovative creative intelligence platform. You will tackle complex data challenges, ensuring our systems are robust, scalable, and capable of delivering high-quality data to power our advanced AI models, customer-facing analytics, and internal business intelligence. This is an opportunity to make a significant impact on our product, contribute to a data-driven culture, and help solve fascinating problems at the intersection of data, AI, and marketing technology.
Key Responsibilities:
Architect & Develop Data Pipelines: Design, implement, and maintain sophisticated, end-to-end data pipelines for ingesting, processing, validating, and transforming large-scale, diverse datasets.
Manage Data Orchestration: Implement and manage robust workflow orchestration for complex, multi-step data processes, ensuring reliability and visibility.
Advanced Data Transformation & Modeling: Develop and optimize complex data transformations using advanced SQL and other data manipulation techniques. Contribute to the design and implementation of effective data models for analytical and operational use.
Ensure Data Quality & Platform Reliability: Establish and improve processes for data quality assurance, monitoring, alerting, and performance optimization across the data platform. Proactively identify and resolve data integrity and pipeline issues.
Cross-Functional Collaboration: Partner closely with AI engineers, product managers, developers, customer success and other stakeholders to understand data needs, integrate data solutions, and deliver features that provide exceptional value.
Drive Data Platform Excellence: Contribute to the evolution of our data architecture, champion best practices in data engineering (e.g., DataOps principles), and evaluate emerging technologies to enhance platform capabilities, stability, and cost-effectiveness.
Foster a Culture of Learning & Impact: Actively share knowledge, contribute to team growth, and maintain a strong focus on how data engineering efforts translate into tangible product and business outcomes.

We are seeking a talented Software Engineer to join our core cloud platforms team.
You will join a dynamic team focused on large-scale data extraction and processing under strict SLAs, while developing APIs for seamless integration with Microsoft services, ensuring optimal performance with minimal impact on memory, CPU and network traffic.
Responsibilities:
Drive end-to-end feature development, from initial design through implementation and deployment, ensuring high performance, scalability, and reliability.
Collaborate closely with experienced developers, system architects, and product managers to deliver innovative, high-quality solutions that align with business goals and best architectural practices.

Were hiring a hands-on Senior Data Engineer who wants to build data products that move the needle in the physical world. Your work will help construction professionals make better, data-backed decisions every day.
Responsibilities:
Lead the design and development of scalable data pipelines.
Collaborate with Product, Data Science, and Analytics teams.
Build and optimize workflows using Databricks, Spark, Kafka, and AWS.
Implement real-time and batch processing architectures.
Develop and maintain ingestion pipelines from multiple sources.
Manage deployment and performance of data infrastructure.
Use Terraform to manage infrastructure-as-code.
Prepare data for analytics and product-facing use cases.

We are looking for a strategic and hands-on Automation Engineer for our Quality Engineering Department to lead the development of cutting-edge automation solutions. This role is pivotal- join us in leading the transformation of our automation strategy and redefine how we build, test and deliver secure software at scale.
Key Responsibilities:
Design and implement comprehensive system-level and end-to-end automated test suites that ensure broad and deep coverage across our product ecosystem.
Create automated test frameworks, design and implement test cases, and write code to improve software testability
Develop and execute automated tests across various layers, including API, UI, database, integration, and end-to-end scenarios.
Integrate automated testing into CI/CD pipelines using Azure DevOps, and modern continuous delivery practices.
Work with microservices architectures, cloud environments (primarily Azure), and containerized platforms such as Docker and Kubernetes.
Gain deep knowledge of the platform, its products, components, and cross-product integrations, serving as a quality advocate across the organization.
Drive the adoption and implementation of automation-first and shift-left practices, embedding quality into every stage of the development lifecycle.
Collaborate closely with R&D, DevOps, Project Managers and Product teams to integrate testing into CI/CD pipelines and production environments.