Deloitte
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Bengaluru · On-site · 2-5 Yrs · 5 days ago
Business consulting · 10000+ Employees · New York, US
Deloitte provides industry-leading audit and assurance, tax and legal, consulting, financial advisory, and risk advisory services to nearly 90% of the Fortune Global 500® and thousands of private companies. Our more than 412,000+ professionals deliver measurable and lasting results that help reinforce public trust in capital markets, enable clients to transform and thrive, and lead the way toward a stronger economy, a more equitable society and a sustainable world. Building on its 178-plus year history, Deloitte spans more than 150 countries and territories. Deloitte US-India Offices is part of region within the Deloitte US organization, with offices across seven cities in India — Hyderabad, Mumbai, Delhi-NCR, Bengaluru, Kolkata, Pune and Chennai.
Hiring: Engineering
What employees say
+ Very good hike and bonus. Flexible with respect to timings.
− Extended work hours is the only con.
More reviews on the company profile.
Interview experience · Technology Manager
The interview process typically includes a telephonic screening, two technical rounds, a managerial round, a CA round, and an HR discussion. The process is well-structured and evaluates technical knowledge, problem-solvi
Difficult difficulty · Bengaluru · 8,233 reports
More interview insightsJob description
Overview
ConvergeSports Data Engineer
Responsibilities
- ConvergeSPORTS is a product-driven business combining Deloitte's sports industry experience with proprietary data, AI-native decision intelligence, and reusable Converge capabilities. We help sports organizations grow revenue, deepen fan engagement, optimize partnerships, and improve commercial performance while operating with the focus of a product company.
- Build and maintain batch data pipelines using SQL, Python, and PySpark to ingest, transform, and serve fan, sponsorship, ticketing, CRM, and commercial datasets
- Develop components of reusable ETL/ELT frameworks under the guidance of senior engineers, following established design patterns and coding standards
- Write, test, and tune SQL and Python code for correctness and performance, with unit tests and clear documentation
- Implement data quality checks, validation routines, and lineage documentation that make data assets trustworthy for product use
- Contribute to data models and schemas that support analytics, machine learning, and agentic product features
- Partner with product managers and data scientists to translate defined requirements into production-ready data assets and feature pipelines
- Support deployment, monitoring, and troubleshooting of pipelines in production, working with application engineering and DevOps teams on CI/CD and observability
- Participate in Agile ceremonies and code reviews, and keep work items, estimates, and status current for USI and US stakeholders
- Help standardize data adapters and schemas across the ConvergeSPORTS product portfolio by documenting and reusing existing patterns
Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, Mathematics, Statistics, or a related field, or equivalent experience
- 2-4 years of hands-on experience building and supporting data pipelines in product, platform, or data-intensive delivery environments
- Proficiency in SQL and Python, including writing, testing, and tuning data transformation code
- Experience with at least one cloud data platform such as Snowflake, Databricks, BigQuery, or PostgreSQL
- Experience with Spark/PySpark or comparable distributed data processing frameworks, and with workflow orchestration
- Experience with Git/GitHub, branching, code review, and Agile product development
- Based in India, able to work virtually with US stakeholders
- Experience with sports, media, entertainment, sponsorship, ticketing, CRM, loyalty, or fan engagement data
- Experience with Delta Lake or lakehouse patterns, Airflow, Databricks Workflows, or dbt
- Experience with Docker, CI/CD, and cloud deployment on AWS, Azure, or GCP
- Experience preparing data for AI, recommendation, scoring, or segmentation use cases
- Curious and quick to learn, acts on feedback from senior engineers
- Detail-oriented, treats data accuracy, testing, and documentation as part of the work
- Clear communicator who raises blockers early across USI and US teams
- Collaborative with product, data science, and engineering
- Owns assigned work from start to finish, with growing independence
Benefits
- Recruiting tips
- From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
- Requisition code: 370356
Verify Software Engineer for this role
Free PRACTICE for Software Engineer adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Software Engineer free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 23 October 2026
- How do I apply for Data Engineer - AI and Data Science Engineer II at Deloitte?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Deloitte may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer - AI and Data Science Engineer II role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer - AI and Data Science Engineer II remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - AI and Data Science Engineer II role at Deloitte?
- This is a mid-level Data Engineer - AI and Data Science Engineer II role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.