Key Facts

Remote From:

Portugal

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Mentorship
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Team Leadership
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Collaboration
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Communication

Roles & Responsibilities

9+ years of professional experience as a Data Engineer in fast-paced production environments
Azure Databricks mastery with hands-on experience building data solutions
Data modeling expertise in Kimball, Inmon, and Data Vault 2.0 methodologies
ETL/ELT expertise designing processes to transform raw data into golden datasets

Requirements:

Architect and build robust data pipelines using Azure technologies with Databricks at the core
Lead the design of scalable data solutions that transform raw data into analytics-ready datasets
Design end-to-end ETL/ELT workflows and implement data pipelines for multiple business domains
Architect data models using Kimball, Inmon, and Data Vault 2.0 methodologies to ensure scalability and maintainability

Job description

ABOUT THE OPPORTUNITY

Join a dynamic technology consultancy where data engineering excellence drives business transformation. We're seeking an experienced Senior Data Engineer to architect and build robust data pipelines using cutting-edge Azure technologies. This role offers you the chance to lead the design of scalable data solutions that transform raw information into valuable business assets in a fast-paced, collaborative environment.

PROJECT & CONTEXT

You'll work on sophisticated data platforms built on Azure with Databricks at the core. The project involves designing end-to-end data pipelines handling complex ETL and ELT workflows, transforming raw data into analytics-ready datasets. You'll architect solutions using modern data modeling methodologies including Kimball, Inmon, and Data Vault, ensuring scalability and maintainability across multiple business domains.

WHAT WE'RE LOOKING FOR (Required)

9+ years of professional experience as a Data Engineer in fast-paced production environments
Expert-level SQL proficiency with SQL and SQL-like query languages for complex data manipulation
Advanced Python expertise with proven experience organizing Python-based data projects
Azure Databricks mastery (mandatory): Vast hands-on experience building data solutions
Data pipeline development with proven track record building scalable, reliable pipelines
ETL/ELT expertise designing processes to transform raw data into golden datasets
Azure cloud knowledge with strong experience across Microsoft Azure data services
Data modeling expertise in Kimball, Inmon, and Data Vault 2.0 methodologies
Language requirement: Fluent English (mandatory)