Description
**Description:**
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We are looking to hire a **Data Ops Engineer \- AI Enablement** to join a professional environment focused on advanced data usage, analytics, and Generative Artificial Intelligence.
The role combines approximately 60% Data / Analytics Engineering and 40% AI Enablement / GenAI, involving data preparation and transformation, as well as development of LLM-based solutions.
**Responsibilities**
* Develop and maintain ETL/ELT processes using Python and SQL.
* Integrate, transform, and validate data from diverse sources, ensuring data quality and traceability.
* Design and maintain relational data models and analytical datasets.
* Build data pipelines and structures for analytical solutions, automations, and GenAI use cases.
* Integrate Large Language Model (LLM) APIs into technical and business solutions.
* Participate in solutions based on prompting, RAG, embeddings, and semantic search.
* Use Generative AI tools to accelerate development, testing, documentation, and analysis tasks.
* Document processes, data models, business rules, and GenAI solutions.
* Collaborate with technical, analytical, and business teams.
**Requirements**
* 1\-4 years of experience in Data Engineering, Data Ops, Analytics Engineering, automation, GenAI, or similar roles.
* Strong Python skills applied to data processing and automation.
* Advanced SQL: joins, CTEs, window functions, aggregations, and basic optimization.
* Experience with production-grade ETL/ELT processes.
* Knowledge of relational data modeling and analytical dataset construction.
* Experience working with medium-to-large data volumes.
* Proficiency with Git.
* Experience integrating LLM APIs and participating in Generative AI projects.
* Familiarity with prompting techniques and basic evaluation of generative outputs.
**What We Offer?**
* Permanent contract with Infortec Consultores
* 100% remote work
* 23 vacation days
* Office hours
* Flexible compensation (meal vouchers, private health insurance, etc.)
* Membership in the CLUB IBENEFITS (discounts across various brands...)
If you have hands-on data experience and have already participated in GenAI projects, we want to meet you.