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Senior Data Engineer AWS & GenAI Data Engineer

Indeed

Company

Job typeFull-time
Workplace typeHybrid
Experience levelMore than 10 years
Education levelBachelor's Degree

Description

Accenture, recognized as a Great Place To Work®, is a global leader in professional services that helps leading enterprises, public administrations, and other organizations worldwide develop their digital core, optimize operations, accelerate revenue growth, and improve citizen services—creating tangible value at speed and scale. This position is based in Madrid under a hybrid work model, where you will work some days from home and others in the office, enabling you to build meaningful synergies with your team. It is mandatory to reside in Spain and hold a valid Spanish work permit. **Responsibilities and Duties:** ================================== **1\. Data Programming and Processing** Python and PySpark (minimum 2 years): Advanced proficiency for developing, maintaining, and optimizing ETL pipelines, as well as evolving the core engine and its associated library. Databases and Advanced SQL: Strong expertise in writing complex queries for data auditing and quality control (cross-table joins, primary key validation, duplicate detection, and identification of discrepancies between source and processed data). **2\. AWS Ecosystem** Core data and compute services: Hands-on experience working with S3 (storage), Athena (data querying and debugging), and SageMaker (process deployment/review). Serverless and Container Architectures: Knowledge of developing and deploying solutions on AWS Lambda and AWS Fargate. Monitoring: Ability to monitor infrastructure using CloudWatch and manage streams/metrics and traces with Kinesis. **3\. GenAI and API Development** LLM Ecosystem: Practical experience developing and maintaining agents based on large language models (using OpenAI and LangGraph). Prompt Engineering: Skill in designing, optimizing, and fine-tuning complex prompts—particularly those focused on web search integrations and agent development. Backend Development: Solid knowledge of API development using FastAPI. Observability: Experience implementing tracing and application monitoring using OpenTelemetry. **4\. DevOps and Version Control** Git and GitHub: Fluent usage for version control, branch management, and code reviews. CI/CD (Jenkins): Ability to interpret pipelines, execute builds, and diagnose potential deployment failures. **5\. Business Knowledge and Management** Functional Domain Expertise: Familiarity with financial and core business concepts to correctly interpret data characteristics and apply sound judgment during validations. Methodologies and Tools: Regular use of Jira for task tracking and incident management; advanced Excel skills for ad-hoc analysis or information cross-referencing. **Mandatory Requirements:** * Minimum 2 years of experience using Python and PySpark for ETL process development. * Experience with relational databases and developing complex SQL queries for data validation and control. * Experience working with AWS S3 and Athena in data environments. * Experience developing APIs using FastAPI. * Experience with version control using Git and GitHub. * Use of CI/CD tools such as Jenkins for pipeline execution. * Experience with task management tools such as Jira. * Degree in Computer Science, Telecommunications, or Engineering. **Desirable Requirements:** * Experience with AWS Lambda and AWS Fargate in serverless architectures. * Experience with CloudWatch monitoring and Kinesis stream management. * Experience developing solutions using large language models (OpenAI, LangGraph). * Experience designing advanced prompts for agents and web search systems. * Experience implementing observability using OpenTelemetry. * Business financial knowledge applied to data analysis. * Advanced Excel skills for ad-hoc analysis. Proficiency and hands-on experience with generative AI and AI tools applied to this role are required, aligned with Accenture’s commitment to responsible and effective AI adoption. At Accenture—a company recognized as a Great Place To Work®—we champion a hybrid work model that, empowered by technology and our facilities, enables us to sustain the essential human connection needed to collaborate effectively with our teams and clients. This connection allows us to maintain our inclusive and diverse culture—and, according to Refinitiv, makes Accenture the most diverse company in the world. Additionally, we offer other benefits such as: * Health, life, and accident insurance * Medical services and wellness programs * Flexible compensation program and stock purchase plan * Flexibility programs (flexible hours, personal days off, vacation time, etc.) * Personalized learning and development path * Sustainability initiatives and Accenture Foundation programs * Employee networks supporting diversity * Other benefits: Bankinter office with special conditions and profit-sharing

Source: indeed
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David Muñoz

Indeed · HR

Location

David Muñoz

Indeed · HR

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