Data Engineer – GenAI & Intelligent Agents

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:

Department:

Experience:

Role Overview

GenAI-enabled data pipelines

data engineering + AI agents + knowledge graphs

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.