Senior AI Data Engineer

Reposted 2 Days Ago
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Lisbon, PRT
In-Office
Senior level
Information Technology
The Role
Designs and leads scalable, secure data architectures, platforms, pipelines, and models supporting analytics and AI applications. Builds RAG pipelines and embedding stores, ensures data quality and production reliability, mentors technical teams, shapes roadmaps, and serves as the primary technical contact for clients. Translates business requirements into cloud-based data solutions using Python, SQL, ETL/ELT, and GCP or AWS technologies.
Summary Generated by Built In

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 

Declaração de Igualdade de Oportunidades de Emprego

Acreditamos que ninguém deve ser discriminado por suas diferenças. Todas as decisões de contratação devem ser tomadas sem distinção de idade, raça, credo, cor, religião, sexo, nacionalidade, ascendência, deficiência, condição de veterano militar, orientação sexual, identidade ou expressão de gênero, informação genética, estado civil, cidadania ou qualquer outra condição protegida pela legislação aplicável. Nossa rica diversidade nos torna mais inovadores, competitivos e criativos, o que nos ajuda a atender melhor nossos clientes e nossas comunidades.

Skills Required

  • 5+ years of experience in data engineering or related roles
  • At least 1 year as a technical lead, team lead, or solution architect
  • Experience delivering end-to-end data projects from requirements through production
  • Deep knowledge of GCP or AWS
  • Experience with cloud data warehouses such as BigQuery or Redshift
  • Working knowledge of Generative AI concepts, including embeddings, RAG, prompt engineering, and tool calling
  • Strong Python and SQL skills
  • Understanding of data modeling, ETL/ELT, and modern data architectures
  • Understanding of data quality, governance, and security principles
  • Client-facing experience and ability to explain technical concepts to non-technical stakeholders
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
  • Fluent English proficiency at C1 level or above
  • GCP or AWS certifications
  • Experience with Databricks, Airflow, Spark, or similar tools
  • Experience with agentic AI or LLM application development
  • Pre-sales or consulting experience
  • French or another additional language

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

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The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

What We Do

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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