We are seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team. In this role, you will be responsible for building robust data pipelines, managing data ingestion and tokenization, and leveraging cutting-edge AI technologies to drive business solutions. The ideal candidate will bridge the gap between traditional data engineering and advanced generative AI implementation. Key Responsibilities
Design, build, and maintain scalable data pipelines and ingestion processes.
Implement data tokenization strategies to ensure data security and compliance.
Develop and optimize workflows using Apache Airflow.
Integrate LLMs into production environments, including designing and optimizing agentic workflows.
Apply prompt engineering techniques to improve model performance and reliability.
Collaborate with cross-functional teams to deliver high-quality data solutions.
Qualifications
Technical Skills:
Strong expertise in Google Cloud Platform (GCP).
Proficiency in BigQuery and general Data Engineering practices.
Experience with Data Ingestion and Data Tokenization.
Strong programming skills in Python.
Hands-on experience with Apache Airflow.
AI/ML Expertise: Proven experience with LLMs, prompt engineering, agentic workflows, and deploying AI models into production.
Preferred Skills: Experience with Looker is highly preferred but not mandatory
... oportunidad a continuación. We are looking for a Data & AI Engineer for one of our customer who has an expertise in:- Role Overview We are seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team. In this role, you will be responsible for building robust data pipelines, managing data ingestion ...
... alto nivel de interés. We are looking for a Data & AI Engineer for one of our customer who has an expertise in:- Role Overview We are seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team. In this role, you will be responsible for building robust data pipelines, managing data ingestion ...
... cutting-edge AI technologies to drive business solutions. The ideal candidate will bridge the gap between traditional data engineering and advanced generative AI implementation. Key Responsibilities - Design, build, and maintain scalable data pipelines and ingestion processes. - Implement data tokenization strategies to ...
... and maintainable solutions. You will be part of an innovative and multidisciplinary environment, contributing to the development of internal capabilities in data engineering, applied AI, observability, governance, and the operation of advanced data and artificial intelligence platforms. What you'll do - Implement use cases ...
... requirements into practical data structures, metadata models, retrieval-ready content, and maintainable pipelines. - Strong attention to detail and ability to identify data quality issues that could affect AI outputs, source traceability, or regulatory credibility. - Ability to collaborate effectively with AI engineers, product managers, ...
... Data and AI Software Engineer Specialist within our OneMesh Platform team , you'll build the software and application layer that connects people to the power of data and AI across Sanofi. Join Sanofi's Digital Data Team on our journey to become an AI-first organization. We're building the next generation of data and AI platform ...
... nationality, gender, age, sexual orientation, gender identity, religion, or any other personal or social circumstance. Rewrite your future. Join Capgemini Engineering! Apply now at https://jobeax.com/link/vleEthJC4R94Q0p9 About the role Desde Capgemini Engineering buscamos un/a AI Engineer / Data Scientist (Python & React) ...
HP in Spain is seeking a Graduate Data Engineer to help implement best engineering practices and transform data from raw resources into structured, scalable, high‑quality, and compliant data powering HP’s AI‑driven products and solutions. This role targets recent graduates eager to launch a career in data engineering, offering ...
... structured information from unstructured text content. - Data Engineering & Pipeline Management: Build and maintain robust data pipelines that support high-volume data processing, enrichment, and model training utilizing Python, SQL, and cloud services. Analyze, clean, and preprocess large datasets to optimize reusable ML models. ...
... Metadata Management tools including: configuration of data catalogs, business glossaries, data lineage, and ownership and stewardship. - Collaborate closely with Data Engineering, BI, Architecture, and IT teams to integrate data governance into existing technical workflows. - Define and maintain pragmatic and actionable Data ...