Data Engineer – Genai

About DAZN DAZN is redefining how the world consumes sports — delivering low-latency streaming, immersive fan experiences, and intelligent, data-driven personalization to millions of subscribers globally. Our Hyderabad Tech Hub is a fast-scaling engineering center that builds the data, AI, and platform capabilities powering DAZN’s global sports ecosystem. As DAZN expands its GenAI and autonomous systems footprint, we are building foundational capabilities around LLM-driven workflows, graph-based intelligence, and multi-agent orchestration. We are seeking Data Engineers who are passionate about integrating next-generation AI into enterprise-grade data systems. Data Engineer – GenAI & Intelligent Agents Location: Hyderabad, India Department: Data & AI Platform Experience: ~4 years total IT experience, including ~1 year hands-on with GenAI Agentic systems Role Overview This role focuses on designing, building, and optimizing GenAI-enabled data pipelines , working with LLMs, LangChain/LangGraph , and developing autonomous/human-in-the-loop agentic workflows . You will collaborate closely with data scientists, ML engineers, and platform teams to operationalize AI-driven reasoning, contextual knowledge retrieval, and graph-based inference within DAZN’s global data platform. This is an opportunity to work at the intersection of data engineering + AI agents + knowledge graphs , solving problems that directly impact streaming quality, content intelligence, discovery, and fan engagement. Key Responsibilities 1. GenAI & Agentic Workflow Engineering Build and maintain pipelines that integrate LLMs , LangChain , LangGraph , and other orchestration frameworks. Develop autonomous and human-in-the-loop agent workflows for data retrieval, transformation, validation, and enrichment. Implement graph-based reasoning pipelines to support complex querying, relationship mapping, and semantic search. 2. Data Pipeline & Infrastructure Development Design, optimize, and scale data ingestion and transformation pipelines using Python, SQL, and cloud-native technologies. Work with streaming and structured/unstructured datasets that feed analytics, personalization services, and operational dashboards. Automate workflows, build reusable components, and enhance data observability, lineage, and quality frameworks. 3. LLM Integration & Productionization Integrate LLMs (OpenAI, AWS Bedrock, Gemini, etc.) into DAZN data systems via retrieval-augmented generation (RAG), prompt engineering, and agent-based reasoning. Build evaluation, monitoring, and guardrail mechanisms for safe and reliable GenAI execution. Collaborate with platform engineering to deploy models and services in scalable, production-grade architectures. 4. Data Quality, Governance & Optimization Implement proactive data validation, anomaly detection, and quality monitoring using agent-based or rule-based systems. Ensure consistency, accuracy, and reliability of data assets consumed across DAZN product and analytics teams. Maintain strong documentation and configuration management for all pipeline components. 5. Cross-functional Collaboration Work closely with data scientists, ML engineers, backend teams, and analytics stakeholders to translate requirements into robust data solutions. Participate in architectural discussions and contribute to the evolution of DAZN’s AI-data ecosystem. Advocate for best practices in GenAI engineering, agent systems, and data platform modernization. Required Skills & Experience Core Technical Skills ~4 years of total IT experience, with ~1 year of hands-on experience building GenAI/Agentic systems . Strong programming skills in Python with experience in: LangChain / LangGraph Prompt engineering & LLM tool calling Graph-based reasoning or vector-search tools Solid SQL expertise for building and optimizing transformations. Experience building and deploying scalable data pipelines using cloud services (AWS preferred). GenAI & Agents Experience Practical experience building: Multi-agent workflows Autonomous agents Retrieval-augmented pipelines Human-in-the-loop systems Familiarity with vector databases, embeddings, and semantic retrieval. Understanding of agent routing, memory, and tool orchestration patterns. Additional Preferred Skills Experience with any of the following is a plus: Snowflake, dbt, Airflow AWS Bedrock, Sagemaker, OpenSearch Neo4j, Neptune, or other graph DBs Knowledge graphs or ontology design Experience supporting data science or ML-driven products. Soft Skills Strong communication and documentation skills. Ability to work in a fast-paced, global, collaborative environment. Ownership mindset with focus on impact, speed, and quality. Why Join DAZN Hyderabad? Work on cutting-edge GenAI + data platform initiatives at massive global scale. Solve real-world challenges across content intelligence, personalization, discovery, and streaming analytics. Collaborate with high-performing teams across London, Japan, Italy, Poland, and the US. Opportunity to grow into specialized AI engineering leadership roles as DAZN scales its Data & AI org.