Technical Lead (Lisbon-Hybrid)

Claranet limited; Lisboa; Presencial; EUR 40 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Integration into a dynamic team

Additional training

Professional development

Competitive salary package

Resumo da oferta

Claranet limited is seeking a skilled professional in Lisbon to develop and optimize data solutions utilizing Python, PySpark, and Databricks. The role involves building Machine Learning pipelines in Microsoft Azure and implementing AI solutions.

The ideal candidate will have experience with REST APIs, data governance, and CI/CD practices, joining a dynamic team with opportunities for professional growth.

Additional training and a competitive salary package are offered.

Qualificações

• Strong experience with Python.
• Experience with PySpark and Databricks.
• Solid knowledge of Microsoft Azure.
• Experience developing data and ML pipelines.
• Hands-on experience with GenAI solutions.

Responsabilidades

• Develop, maintain, and optimize solutions using Python, PySpark, and Databricks.
• Build and maintain data and Machine Learning pipelines in Microsoft Azure.
• Implement, monitor, and evolve Machine Learning models in production.

Conhecimentos

Python

PySpark

Databricks

Microsoft Azure

Azure Data Factory

Machine Learning

REST APIs

PostgreSQL

GitHub

pytest

SonarQube

GenAI

LangChain

LangGraph

vector databases

observability tools

Descrição da oferta de emprego

We'refast learners, hard workers, natural collaborators... and we MakeModern Happen! Ourambition is to unlock the potential of our digital world so that organisationseverywhere can innovate and thrive securely. We aim to achieve this goal by bringing together the world’s most talented people and the most powerful technologies, combining them to address our customers' challenges and to build something stronger together. Ifyou share our vision, join us!

Your responsibilities include:

• Develop, maintain, and optimize solutions using Python, PySpark, and Databricks
• Refactor and improve existing code, including legacy systems
• Build and maintain data and MachineLearning pipelines in Microsoft Azure
• Work with Azure Data Factory and related cloud services
• Implement, monitor, and evolve Machine Learning models in production
• Evaluate performance metrics and ensure model quality
• Develop solutions based on GenAI and Large Language Models (LLMs)
• Implement single-agent and multi-agent architectures
• Develop and maintain RAG (Retrieval-Augmented Generation) solutions
• Work with LangChain, LangGraph, and observability tools such as Langfuse
• Manage document indexing and vector databases
• Develop and maintain REST APIs
• Participate in deployment processes, CI/CD, and environment management
• Ensure development best practices, automated testing, and code quality
• Produce technical documentation and support troubleshooting and log analysis
• Collaborate in permission management, access control, and data governance.

You must have:

• Strong experience with Python
• Experience with PySpark and Databricks
• Solid knowledge of Microsoft Azure
• Experience with Azure Data Factory
• Experience developing data and ML pipelines
• Knowledge of Machine Learning concepts (regression, classification, and metrics)
• Experience with REST APIs and service integrations
• Knowledge of PostgreSQL / SQL
• Experience with GitHub and version control workflows
• Knowledge of pytest and SonarQube
• Familiarity with DevOps and CI/CD practices
• Hands‑on experience with GenAI solutions
• Experience using OpenAI models and APIs
• Knowledge of LangChain and LangGraph
• Experience implementing RAG solutions
• Knowledge of vector databases and document indexing
• Experience with observability and monitoring tools (e.g., Langfuse)

We offer:

• Integration into a dynamic and motivated team for the performance of the role.
• Additional training.
• Salary package according to the role performed.
• Professional development.

Workplace: Hybrid - Lisbon Claranet, Make modern happen!