Senior Business Intelligence Engineer

Fox; India; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Fox is seeking a Senior Business Intelligence Engineer to bridge scalable data architecture, analytics, and BI. You will democratize data across FOX, working across the full analytics lifecycle—from data pipelines to self-service data apps on Databricks and Snowflake.

You will collaborate with engineering and business stakeholders, build governance frameworks, and ensure data quality, semantic consistency, and trusted insights through modern analytics tools.

Qualifications

• Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a relevant field.
• 4+ years of hands-on experience spanning data engineering, BI, or analytics engineering.
• Proven experience building advanced reports, data applications, or interactive notebooks in Databricks, Snowflake, etc.
• Version control with GitHub or similar workflows for code reviews and collaboration.
• Data warehouse modeling and SQL tuning in cloud environments like Snowflake or Databricks.

Responsibilities

• End-to-End Analytics & Application Delivery: design, develop, and maintain high-impact data analytics solutions and data applications bridging SQL/Python with AI apps.
• Pipeline Literacy & Data Modeling: understand batch/streaming pipelines and design dimensional models suitable for reporting.
• Governance & Version Control: implement code management, CI/CD, and governance with GitHub across environments.
• Data Quality & Semantic Consistency: establish audit controls for metric consistency and data accuracy.
• Cross-Functional Collaboration: partner with leaders, analysts, and engineers to define metrics and semantic layers.
• Technical Documentation & Enablement: maintain data flow diagrams and design specs to enable self-service analytics.

Skills

Business acumen

Communication

Problem solving

Curiosity about business

Mentoring

Education

Bachelor's degree in CS/Data Analytics/IS

Tools

Databricks

Snowflake

GitHub

dbt

Airflow

PySpark

Job description

OVERVIEW OF THE COMPANY

Fox Corporation Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise, and strategic thinking.

JOB DESCRIPTION

Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise, and strategic thinking.

JOB DESCRIPTION

The FOX Data Platform Team is looking for a Senior Business Intelligence Engineer who bridges the gap between scalable data architecture, advanced analytics, and actionable business intelligence. In this role, you will play a pivotal part in democratizing data across FOX. You will work across the full analytics lifecycle - from understanding data pipelines and modeling data in the warehouse, to building self-service data applications and governance frameworks in modern platforms like Databricks AI/BI, Tableau Cloud etc. If you excel at turning complex data into trusted business insights, leveraging modern platforms (Databricks, Snowflake etc), and collaborating closely with both engineering and business stakeholders, this role is for you.

ABOUT YOU

• Strong curiosity about our business: You ask the right questions, dig into the nuances of business metrics, and build a deep understanding of the FOX media landscape.
• Bridge builder & translator: You can speak fluent "business" and fluent "code," seamlessly translating complex business questions into robust technical models and intuitive data apps.
• Data advocate: You care deeply about data quality, governance, and user adoption, ensuring non-technical stakeholders trust and easily navigate the data platform.
• Perseverance & problem-solving: You tackle ambiguity head-on, whether troubleshooting a data anomaly, refining a semantic layer, or setting up gated compliance reviews.
• Growth mindset & self-starter: You stay on top of modern analytics tech trends (like agentic AI, modern notebook environments, and self-serve analytics tools) and enjoy mentoring others.

A SNAPSHOT OF YOUR RESPONSIBILITIES

• End-to-End Analytics & Application Delivery: Design, develop, and maintain high-impact data analytics solutions and data applications by bridging SQL/Python logic with stakeholder-facing AI applications.
• Pipeline Literacy & Data Modeling: Understand underlying batch/streaming data pipelines to effectively debug data flows, partner with upstream data engineers, and design dimensional data models (e.g., in Snowflake/Databricks) optimized for downstream reporting.
• Governance & Version Control: Implement best practices for code management, CI/CD, and review workflows using GitHub. Manage workspace governance-including project permissioning, environment segregation (dev/UAT/prod), and audit controls for compliance.
• Data Quality & Semantic Consistency: Establish audit and monitoring controls to ensure metric consistency, data accuracy, and high performance across all BI and analytics assets.
• Cross-Functional Collaboration: Partner directly with business leaders, analysts, and engineering teams to define core metrics, build context/semantic layers, and foster a data-driven culture.
• Technical Documentation & Enablement: Maintain clear documentation (Data Flow Diagrams, Technical Design Specs, Metric Definitions) and empower business teams to leverage self-service analytics safely.

WHAT YOU WILL NEED

• Education: Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a relevant field.
• Work Experience: 4+ years of hands-on experience spanning data engineering, business intelligence, or analytics engineering.
• Modern Analytics Tools: Proven experience building advanced reports, data applications, or interactive notebooks in platforms like Databricks, Snowflake,
• Version Control & CI/CD: Strong proficiency with GitHub or Git-based workflows for code reviews, version history, and collaborative development.
• Data Warehouse & Modeling Skills: Expertise in Advanced SQL , query tuning, and dimensional modeling within cloud environments like Snowflake or Databricks . Experience in cloud infrastructure and integration services (AWS S3, Lambda, API integrations).
• Pipeline Understanding: Deep understanding of how data ingestion and ETL/ELT pipelines function (e.g., Airflow, dbt, Fivetran), with the ability to trace data lineage from source to visualization.
• Python Skills: Intermediate to advanced proficiency in Python (Pandas, PySpark, or similar) for data manipulation,