JOB DETAILS

Junior Data Engineer

CompanyEntain
LocationHyderabad
Work ModeOn Site
PostedJuly 7, 2026
About The Company
There’s nothing like a career at Entain. We’re a leading, global sports betting and gaming company, delivering the most entertaining experiences, powered by technology, with market-leading player protection built in. In this environment, with our game-plan, and your energy and impact, you’ll perform at the height of your potential. We’re a FTSE company with 28,000 passionate people across five continents, known for iconic brands including Ladbrokes, Coral, BetMGM, Eurobet and bwin. Every day we give millions of players unmatched experiences. Whether you’re an engineer, marketer or retail specialist, a career here is a complete game changer.
About the Role

Company Description

Entain India is the engineering and delivery powerhouse for Entain, one of the world's leading global sports and gaming groups. Established in Hyderabad in 2001, we've grown from a small tech hub into a dynamic force, delivering the latest software solutions and support services that power billions of transactions for millions of users worldwide.

Scale drives us to create technology that supports Entain's mission to lead the change in global sports and gaming sector. At Entain India, we make the impossible possible, together.

This means that not only do you get to work for a dynamic organization delivering pioneering technology, gaming and business solutions, you can also have an exciting and entertaining career. At Entain India, Bright Minds Shine Brighter.

Job Description

Data intelligence and AI play a transformational role in how we create value today and how we shape our future. We have a bold ambition to be a world-class data and AI-driven business for our customers across all our regions and departments.

You will work within our ASE Data & AI function. You will support teams by building and maintaining data infrastructure that enables efficient analysis generation and generative AI and ML applications.

You will maintain data pipelines and systems that serve our diverse data consumers across the business spanning our brands in the Americas and Southern Europe. By applying your data engineering skills, you'll ensure data-driven decision-making throughout the organization, supporting business growth.

What you will do

  • Help maintain data pipelines and Extract Transform and Load processes to support reporting, analytics, engineering and AI use cases.
  • Work with internal and external data sources to ingest, process, and store datasets using existing connectors and APIs.
  • Support the team in managing data within cloud DWH platforms such as Snowflake (or equivalent).
  • Help develop data transformation workflows using DBT or similar tools.
  • Help deploy data pipeline artifacts to production environments and support the team in managing releases.
  • Help maintain CI/CD pipelines for data workflows, ensuring reliable and automated deployments.
  • Write automated unit tests and data quality tests to support reliable deployments and ensure the correctness of data pipelines and transformations.
  • Perform data validation checks and basic monitoring to help maintain data quality and reliability.
  • Collaborate with senior data engineers and analysts to troubleshoot data pipeline issues and resolve data inconsistencies.

Qualifications

Essential:

  • Bachelor's degree in computer science, Software Engineering, Data Science, or a related field, or equivalent practical experience.
  • Working knowledge of SQL for querying and transforming data
  • Basic to intermediate experience with Python for data processing and scripting
  • Familiarity with cloud data warehouse platforms such as Snowflake, Big Query, or similar
  • Experience with data pipeline concepts
  • Familiarity with Git or other version control systems
  • Work in a collaborative team environment
  • Basic familiarity with data visualization tools such as Power BI or Tableau
  • Awareness of data quality validation or monitoring tools
  • Experience with data governance and data management principles
  • Exposure to event-driven or streaming data systems (Kafka, Kinesis)
  • Familiarity with containerization tools such as Docker
  • Exposure to CI/CD workflows (GitHub Actions, GitLab CI, Jenkins)
  • Interest in modern data engineering practices and AI/ML data workflows
  • Understanding of MLOps concepts, including how data pipelines support machine learning model training, versioning, and deployment workflows
  • Familiarity with AI/LLM-based systems, such as RAG, embeddings, or vector databases

Additional Information

At Entain India, we know that signing top players requires a great starting package, and plenty of support to inspire your best. Join us, and a great compensation package is just the beginning. Working for us you can expect to receive great benefits like:

  • Safe home pickup and home drop (Hyderabad Office Only)
  • Group Mediclaim policy
  • Group Critical Illness policy
  • Communication & Relocation allowance
  • Annual Health check

And outside of this, you'll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of experienced people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.

  • Advertising Department: Data & Analytics
  • Key Skills
    SqlPythonSnowflakeDbtCi/CdGitData PipelinesEtlPower BiTableauDockerKafkaKinesisMlopsRAGVector Databases
    Categories
    Data & AnalyticsTechnologySoftwareEngineering
    Benefits
    Safe Home Pickup And Home DropGroup Mediclaim PolicyGroup Critical Illness PolicyCommunication AllowanceRelocation AllowanceAnnual Health Check
    Job Information
    📋Core Responsibilities
    Maintain data pipelines and ETL processes to support reporting, analytics, and AI use cases. Collaborate with senior engineers to manage cloud data warehouses and ensure data quality through automated testing.
    📋Job Type
    full time
    📊Experience Level
    0-2
    💼Company Size
    18897
    📊Visa Sponsorship
    No
    💼Language
    English
    🏢Working Hours
    40 hours
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