Cloud Data Engineer (Azure) – Hybrid Porto, PT

WIRE IT; Porto; Híbrido; EUR 42 000 - 66 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance

22 days of paid vacation

4 extra days annually (Carnival, Xmas,

Meal Allowance on card (Coverflex)

Referral Bonus

Special discounts and flex options

Training annual budget

A great team-oriented culture

Chance to become part of a dynamically

Challenging projects giving the unique

Resumo da oferta

Wire IT in Porto, Portugal, is seeking a Data Engineer (Cloud Solutions) to join a senior, agile team in a hybrid role. The position focuses on cloud data architectures, data modelling, and BI delivery across ERP-enabled processes.

The ideal candidate brings deep experience with Python, PySpark, SQL, and Azure, and can design scalable data lakes, warehouses, and visualization workflows that support decision making.

Qualificações

• 5+ years of experience as a Data Engineer in cloud solutions.
• Strong understanding of ERP Processes (Logistics / SCM).
• Good understanding of data modelling concepts, preferably based on the Data Lake / Cloud Data Warehouse environment handling large datasets.
• Good programming skills in Python, PySpark, Java, SQL, or similar languages.
• Familiarity with cloud platforms (MS Azure).
• Proficiency in data modelling, workflows, and data visualization.
• Knowledge in MS Power BI and other BI technologies.
• Nice-to-have:Experience with full-stack development.
• Nice-to-have:Knowledge of machine learning and AI technologies.
• Nice-to-have:Knowledge on SAP Business Warehouse, SAP Analytics Cloud, SAP Datasphere.

Conhecimentos

Python

PySpark

SQL

Java

Azure

Data modelling

Data visualization

Power BI

ERP processes

Full-stack development

Machine learning / AI

SAP BW / SAC / Datasphere

Descrição da oferta de emprego

Wire IT in Porto, Portugal, is seeking a Data Engineer (Cloud Solutions) to join a senior, agile team in a hybrid role. The position focuses on cloud data architectures, data modelling, and BI delivery across ERP-enabled processes.

The ideal candidate brings deep experience with Python, PySpark, SQL, and Azure, and can design scalable data lakes, warehouses, and visualization workflows that support decision making.