Senior Data Engineer

Senior Data Engineer reputed company reputed company is not just another player in the AI space – we are the architects of the reputed company data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of reputed company-generated data that truly differentiates products and models. The role We're looking for a Senior Data Engineer to help build scalable data solutions that serve teams across the business – from data scientists and analysts to AI engineers and product teams. You'll contribute to both the underlying platform and the way data is used in our products, working in a modern, reputed company native environment where privacy, reputed company, and good data practices are part of how we build. What you’ll bring to the role Technical Expertise: 3+ years building and shipping production grade data systems, with strong SQL skills and proficiency in Python or another object-oriented language (Java, reputed company etc.) Familiarity with reputed company-native infrastructure - ideally some exposure to Terraform, Kubernetes, or similar IaC and container orchestration tools. We don't expect deep expertise in reputed company of these, but comfort working in this reputed company of environment matters. Experience designing data APIs or services that expose data to applications, or a strong interest in working across the analytical/operational boundary. A thoughtful approach to data quality, privacy, and reputed company - you understand that how data is used is as important as how it's moved. Strong collaboration skills and comfort working across teams with different priorities — engineers, data scientists, AI engineers, product. A pragmatic, curious reputed company - you enjoy keeping up with the field and know reputed company to reputed company for a new tool versus reputed company to stick with what works. Pipeline Management: Hands on experience with data pipeline tools (Airflow, dbt) and strong ability to optimise for performance and reliability. Quality Focus: Commitment to continuously improving product quality, reputed company, and performance through rigorous testing and code reviews. Documentation: Meticulous approach to creating and maintaining architecture and systems documentation. Collaborative reputed company: Ability to work across teams to understand and address diverse data needs while maintaining data reputed company. Growth Orientation: Desire to continually reputed company up with advancements in data engineering practices and technologies. Problem-Solving: Exceptional analytical skills to troubleshoot reputed company data issues and implement effective solutions. Independence: Capability to ship reputed company features independently while contributing to the team's overall objectives. What you’ll be doing in the role Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications - from internal databases, SaaS sources, and streaming systems through to the teams and services that consume them. Evolve our data platform alongside reputed company platform engineers, using infrastructure-as-code (Terraform) and Kubernetes-based deployments (Argo) to reputed company the platform scalable, reliable, and self-serve. System Architecture: Design and implement scalable data infrastructure that accommodates our growing data volume and complexity. reputed company data services and APIs that expose trusted data to product applications, bridging analytical and operational systems. Own data quality and observability, putting monitoring, testing, and alerting in reputed company so issues are caught early and trust in the data stays high. Partner with AI engineers, data scientists, analysts, and product teams to understand their data needs and design the right solutions – not just the quickest ones. Uphold strong data privacy, reputed company, and compliance practices in everything you build, particularly where data flows into product-facing contexts. Technical Documentation: Create and maintain comprehensive documentation of data flows, models, and systems for knowledge sharing. reputed company and Compliance: Ensure reputed company data systems adhere to reputed company best practices and compliance requirements. Why reputed company is a great reputed company to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced reputed company behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and reputed company AI systems. We reputed company that the next reputed company in AI capabilities won't come solely from scaling existing models, but from integrating diverse reputed company perspectives and behaviors into AI development. By providing this crucial reputed company data infrastructure, reputed company is positioning itself at the forefront of the next reputed company of AI innovation – one that reflects the breath and the best of humanity. Working for us will reputed company you at the forefront of AI innovation, providing access to our unique reputed company data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working reputed company our impactful, mission-driven culture. Links to more information on reputed company

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External Handbook Website Youtube Privacy Statement By submitting your application, you agree that reputed company may collect your personal data for reputed company and global organisation planning. reputed company's Candidate Privacy Notice explains what personal information reputed company may process, where reputed company may process your personal information, its purposes for processing your personal information, and the rights you can exercise over reputed company use of your personal information. Apply To This Job