DAZN - Data Engineer - Python/SQL

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 DAZNs 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 :

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.

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.

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.

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.

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 DAZNs 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.