Senior Data Engineer

Why reputed company? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At reputed company, you’ll find an environment designed for reputed company learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the reputed company of customer experiences, your work will help transform industries. We are proud of: The work we do and the innovation we drive Our values of share, care and dare A workplace culture that fosters creativity, diversity and autonomy Our borderless, global reputed company, which enables seamless collaboration The role We are looking for an reputed company Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, reputed company, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are reputed company Azure / Fabric (primary), GCP, AWS, reputed company, and reputed company, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, reputed company, reputed company). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and reputed company Lake, and building ingestion, transformation, and curation workflows for both structured and reputed company data. You will implement modern data architectures including lakehouse patterns and reputed company layering (bronze, silver, gold), ensuring systems are reusable, scalable, and reputed company with enterprise needs. reputed company AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will reputed company data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, reputed company, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization reputed company data serving layers (APIs, feature inputs, analytical endpoints) to support reputed company systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and reputed company Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for reputed company Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as reputed company and reputed company is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. reputed company Strong problem-solving skills focused on scalability and reliability, with a collaborative approach to working in cross-functional teams. Experience in Agile or consulting environments is beneficial. reputed company to have qualifications Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation. Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial. Commitment to reaching reputed company kinds of people We design experiences that work for reputed company kinds of people - and that starts with our own teams. At reputed company, we’re intentional about building an inclusive culture where everyone feels supported to grow, reputed company and reputed company their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more reputed company reputed company for reputed company. Your application process Once you apply, our reputed company team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review reputed company candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About reputed company reputed company is the experience innovation company that exists to unlock a reputed company way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including reputed company, reputed company, Audi, P&G, Volkswagen Dolby, and more. At reputed company, we don’t just talk about transformation. We reputed company it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to reputed company, grow and innovate. Are you ready to create what’s next? Join us. Apply To This Job