Global Data Tech Lead - AI & ML Pipelines

Decskill; Lisboa; On-site; EUR 70,000 - 110,000; Full time

Job summary

Decskill, a growing IT consulting company, seeks a Data Technical Lead to drive data platforms and GenAI initiatives from Lisbon. You will own end-to-end data pipelines, ML workflows, and AI solutions, collaborating with global Agile teams to deliver scalable software.

You will mentor peers, implement best practices, and contribute to architecture decisions while integrating with OpenAI APIs and LangChain technologies. English fluency is essential.

Qualifications

• Bachelor's degree in software/CS/CE or related field.
• Hands-on experience with Python, PySpark, Databricks.
• Strong Azure Data Factory and ML workflow knowledge.
• Experience with ML models and GenAI tooling (OpenAI, LangChain).
• Proficiency in PostgreSQL, SQL and data modeling.
• Experience designing REST APIs and CI/CD practices.

Responsibilities

• Develop, maintain, refactor, and optimize Python and PySpark apps.
• Build data pipelines and ML workflows using Databricks and Azure Data Factory.
• Develop GenAI solutions with OpenAI, LangChain, LangGraph, and RAG.
• Design AI solutions including document indexing and vector DBs.
• Develop and maintain REST APIs and system integrations.
• Deploy apps, pipelines, and ML models across dev/test/prod.
• Perform code reviews, tests, log analysis, and quality improvements.
• Maintain docs, manage technical debt, and governance practices.
• Collaborate with cross-functional, global Agile teams.

Skills

Python

PySpark

Databricks

Azure

OpenAI APIs

LangChain

LangGraph

RAG architectures

PostgreSQL

REST APIs

GitHub

pytest

SonarQube

JIRA

Confluence

English fluency

Education

Bachelor's degree in Software Engineering / CS / CE

Tools

Databricks

Azure Data Factory

PostgreSQL

GitHub

pytest

SonarQube

JIRA

Confluence

LangChain

Job description

Decskill, a growing IT consulting company, seeks a Data Technical Lead to drive data platforms and GenAI initiatives from Lisbon. You will own end-to-end data pipelines, ML workflows, and AI solutions, collaborating with global Agile teams to deliver scalable software.

You will mentor peers, implement best practices, and contribute to architecture decisions while integrating with OpenAI APIs and LangChain technologies. English fluency is essential.