Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions.
Job Summary
We are seeking a highly qualified professional to join our team as a Senior AI Data Engineer. As an essential part of our team, you will be responsible for designing, building, and optimizing scalable data solutions that support analytics, reporting, and business decision-making. We are looking for a professional with strong expertise in data engineering, cloud platforms, ETL/ELT development, and data governance.
Qualifications
5+ years in Data Engineering or related roles, including 1+ year as a technical lead, team lead, or solution architect
Proven track record delivering end-to-end data projects, from requirements to production
Deep knowledge of GCP or AWS, including cloud data warehouses such as BigQuery or Redshift
Working knowledge of Generative AI concepts (must have), such as embeddings, RAG, prompt engineering, and tool calling, and how to apply them to business problems
Strong Python and SQL skills, with a solid grasp of data modeling, ETL/ELT, and modern data architectures
Solid understanding of data quality, governance, and security principles
Client-facing experience, with the ability to explain technical concepts to non-technical stakeholders
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field
Fluent in English (C1 or above)
Responsibilities
Define and own data architectures that are scalable, secure, and cost-efficient
Lead the design and delivery of data platforms, pipelines, and models supporting analytics and AI use cases
Build data foundations for AI solutions, such as RAG pipelines and embedding stores, and identify where AI tools can improve workflows and outcomes
Lead and mentor the team, setting technical priorities, standards, and best practices
Ensure production reliability, performance, and data quality
Act as the main technical point of contact for clients, translating needs into solution designs
Shape the technical roadmap, including tool selection and effort estimation
Nice to Have
GCP or AWS certifications (e.g., Professional Data Engineer, Solutions Architect)
Experience with Databricks, Airflow, Spark, or similar tools
Experience with agentic AI or LLM application development
Pre-sales or consulting experience
French or other additional languages
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
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Summary
Designs, builds, and optimizes scalable data solutions and architectures supporting analytics and AI. Requires 5+ years in data engineering, GCP or AWS with BigQuery or Redshift, Generative AI knowledge, Python and SQL, data governance, client-facing communication, and a bachelor's degree; fluent English C1.
Responsibilities
Define scalable, secure, cost-efficient data architectures; lead data platforms, pipelines, and models for analytics and AI; build AI data foundations such as RAG and embeddings; lead and mentor the team; ensure reliability, performance, and data quality; act as technical client contact; shape roadmap, tool selection, and estimation
Qualifications
5+ years in Data Engineering or related roles, including 1+ year as technical lead, team lead, or solution architect; proven track record delivering end-to-end data projects; deep knowledge of GCP or AWS including BigQuery or Redshift; working knowledge of Generative AI; strong Python and SQL; data quality, governance, and security; client-facing experience; bachelor's degree; fluent English C1
Education requirements
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field
Experience requirements
5+ years in Data Engineering or related roles, including 1+ year as a technical lead, team lead, or solution architect