Reads like a Data Engineer role: pipelines and data infrastructure.
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Build, test and deploy data pipelines, transformations and dashboards on Google Cloud
Build and migrate data to BigQuery using Dataflow, Datastream and Cloud Composer
Train, deploy and monitor models using Vertex AI Pipelines and BigQuery ML
Write clean, tested, documented code and take part in peer reviews
Participate in client discussions and clarify requirements
Build, test, and deploy data pipelines, transformations, dashboards, and ML/GenAI components on Google Cloud
Build and migrate data to BigQuery using Dataflow, Datastream, and Cloud Composer.
Train, deploy, and monitor models using Vertex AI Pipelines and BigQuery ML.
Write clean, tested, documented code; participate in peer reviews
Participate in client discussions, clarify requirements
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At Accenture, jobs usually come down by about day 1.
From 11,504 similar postings that came down, and 2,619 of Accenture’s. Coming down is not always a hire.
493 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Job Title - AGBG Google Data & AI Engineer – Senior Analyst Management Level: 10-Senior Analyst Location: All over India Must have skills Hands-on experience building data or ML solutions on Google Cloud (GCP) that run in production. Solid programming skills in Python and SQL; exposure to Java/Scala or Apache Beam is an advantage. Working knowledge of core GCP data services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer/Dataform. Exposure to ML and Generative AI on GCP: Vertex AI (training, pipelines, endpoints), BigQuery ML, Gemini models, and basic RAG patterns. Engineering basics: Git, CI/CD, Terraform fundamentals, automated testing, and secure access (IAM, secrets). Familiarity with one or more domains: Data Platform Modernization, Analytics & BI (Looker), Generative AI, or Customer 360. Strong problem-solving, communication, and ability to work in an Agile team. Good to have Google Cloud Associate Cloud Engineer or Professional Data Engineer certification (or in progress). Exposure to Looker (LookML), Dataplex, or Vertex AI Agent Builder. Experience working with on-shore/off-shore teams. Job Summary As a Google Data & AI Engineer (Senior Analyst), you will build and operate data pipelines, analytics, and ML/GenAI components on Google Cloud as a core member of a delivery team. You will work from defined designs and guidance from leads, own well-scoped features end to end, and ensure quality across data accuracy, security, performance, and cost, while growing your expertise in Google's Data & AI portfolio. Roles & Responsibilities Hands-On Data & AI Development: Build, test, and deploy data pipelines, transformations, dashboards, and ML/GenAI components on Google Cloud, from requirements through production support. Client & Team Collaboration: Participate in client discussions, clarify requirements, and communicate progress and risks clearly to leads and stakeholders. Quality & Peer Reviews: Write clean, tested, documented code; participate in peer reviews; and monitor pipelines and models to resolve data quality and performance issues. Modern Engineering & Agile Delivery: Apply DataOps/MLOps practices, CI/CD, and Infrastructure as Code (Terraform) within an Agile framework, and estimate your own tasks. Learning & Contribution: Contribute to reusable assets and accelerators, support junior team members, and keep building Google Cloud skills and certifications. Contribute to delivery in one or more of the following Google Cloud Data & AI areas: – Data Platform & Modernization: Build and migrate data to BigQuery using Dataflow, Datastream, and Cloud Composer. – Analytics & Business Intelligence: Develop dashboards and semantic models using Looker and BigQuery. – Generative AI: Contribute to solutions using Vertex AI, Gemini models, and Retrieval-Augmented Generation (RAG). – Applied ML & MLOps: Train, deploy, and monitor models using Vertex AI Pipelines and BigQuery ML. – Customer 360 & Marketing Intelligence: Prepare and unify customer data in BigQuery to support segmentation and personalization. – Real-Time & Streaming Analytics: Build and support streaming pipelines with Pub/Sub, Dataflow, and BigQuery. About Our Company | Accenture About Accenture
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Yes. We’ve followed 4 other AGBG Google Data & AI Engineer - Senior Analyst jobs there since November 2026. All 4 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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