Distributed Cloud | AI Data Engineer

Devoteam
Portugal
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Mentoring","Communication","Problem-solving","Collaboration","Technical leadership"]

Design and maintain scalable data solutions that power AI applications and advanced analytics. Build semantic data models and trusted metric definitions, and integrate data platforms, semantic layers, and AI solutions. Partner with engineering, analytics, product, and AI teams to translate business needs into reliable data products, improve data quality and governance, and apply causal inference and modern causal ML techniques. Support AI initiatives through LLM integration, prompt engineering, and RAG, while providing technical leadership through reviews and mentoring.

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Devoteam
Devoteam
2 months ago

Distributed Cloud | AI Data Engineer

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Last checked: 18 hours agoStatus: Live

Job Summary

Design and maintain scalable data solutions that power AI applications and advanced analytics. Build semantic data models and trusted metric definitions, and integrate data platforms, semantic layers, and AI solutions. Partner with engineering, analytics, product, and AI teams to translate business needs into reliable data products, improve data quality and governance, and apply causal inference and modern causal ML techniques. Support AI initiatives through LLM integration, prompt engineering, and RAG, while providing technical leadership through reviews and mentoring.
Location: Portugal
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and maintain scalable data solutions supporting AI applications and advanced analytics.
  • •Build and optimize semantic data models to ensure high-quality, trusted metrics for business and AI consumption.
  • •Develop integrations between data platforms, semantic layers, and AI-powered solutions.
  • •Collaborate with cross-functional teams to translate business needs into reliable data products.
  • •Provide technical leadership through mentoring, code reviews, architectural guidance, and engineering best practices.

Key Requirements

  • •Bachelor's or Master's degree in Computer Science, Software Engineering, Industrial Engineering, Mathematics, or a related technical field.
  • •5+ years of experience in senior Data Engineering, AI Engineering, Analytics Engineering, or related data-focused roles.
  • •Hands-on experience with modern data platforms, including Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Apps) and Google Cloud services such as BigQuery, Cloud Run, Pub/Sub, and Vertex AI.
  • •Strong expertise in Python for data engineering and API development (FastAPI), including integration with LLM frameworks such as LangChain or Anthropic.
  • •Experience with semantic layers/metric definitions, SQL workloads, and causal inference techniques (e.g., DiD, RDD, IV) plus modern causal ML frameworks.
Experience:5+ yearsData engineeringAI engineeringAnalytics engineeringGenerative AI
Education:Bachelor's in Computer Science, Software Engineering, Industrial Engineering, Mathematics, or a related technical field
Skills:MentoringCommunicationProblem-solvingCollaborationTechnical leadership
Languages:English
Tech Stack:DatabricksDelta LakeUnity CatalogMLflowDatabricks AppsGoogle Cloud PlatformBigQueryCloud RunPub/SubVertex AIPythonFastAPISQLLangChainAnthropicLLM integrationRetrieval-Augmented Generation (RAG)Difference-in-Differences (DiD)Regression Discontinuity Design (RDD)Instrumental Variables (IV)

Company Brief

Devoteam
Devoteam is an IT consulting firm specializing in digital transformation, cloud, cybersecurity, and data solutions for enterprise clients across Europe and the Middle East, combining technology partnerships with management consulting services.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 1995
WebsiteLinkedIn