Data Engineer (Remote)

Description

Job Summary: The JAP Group is seeking a Data Engineer with experience in data platforms to develop architectures, manage data, and support analytics and AI in the Microsoft Fabric environment. Key Highlights: 1. Commitment to market evolution and diversity 2. Training and opportunities for professional and personal development 3. Real opportunity for career progression A century-old reference in the automotive and mobility sector, the JAP Group represents 15 automotive brands across more than 60 sales and repair locations. It owns **CARBY**, **MATRIZAUTO** (the country’s largest *megastore* for semi-new and used vehicles), and the **SIXT** rent-a-car master franchise in Portugal. Nationally, it is also a benchmark in the agricultural and industrial machinery and material handling markets, operating through Entreposto Máquinas—the official representative of over 10 brands in this sector. In Africa, the Group operates in Angola, Kenya, Uganda, and Tanzania, where it is a growing force in the heavy vehicle (MAN) and agricultural and industrial machinery markets. In Mozambique, under the Entreposto brand, it is a leading provider of mobility solutions—including light and heavy vehicles, agricultural and industrial machinery, and related services. Joining the JAP universe means committing to evolution and diversity across markets, customers, geographies, people, and teams. If you’re looking for an engaging professional challenge, this project is for you! **Data Engineer (Remote)** ========================== **Responsibilities** --------------------- * Design and implementation of data architectures in Microsoft Fabric, with focus on lakehouse and layered organization. * Data management in OneLake, optimizing performance, cost, and governance. * Development of ingestion and orchestration pipelines to integrate data from multiple sources (batch and streaming). * Large-scale data processing and transformation, ensuring quality, consistency, and readiness for analytical consumption. * Support for real-time analytics and integration of operational data. * Preparation of data for artificial intelligence and machine learning solutions. * Implementation of DevOps practices, CI/CD, and environment management. * Continuous monitoring, issue resolution, and performance optimization across the entire data platform. **Profile** ---------- * Master’s or Bachelor’s degree in Computer Engineering, Information Sciences, or related fields; * +3 years of experience in data engineering, ETL, and data platforms; * Strong proficiency in Python (PySpark is a plus) and solid knowledge of Spark and distributed computing; * Experience with cloud platforms: Microsoft Fabric, Azure Data Lake Gen2, Databricks, Synapse, the Microsoft Fabric ecosystem, and Azure services (ADLS, Event Hubs, Key Vault); * High proficiency in T\-SQL and KQL, including query optimization; * Knowledge of Microsoft Fabric services: Data Lakehouse, Data Warehouse, and Real\-Time Intelligence; * Understanding of ETL/ELT, data modeling, and lakehouse architectures (Medallion). **We Offer** -------------- * Integration into a solid and reputable Group currently implementing multiple growth initiatives; * Training and opportunities for professional and personal development; * Real opportunity for career progression, aligned with performance and demonstrated competencies; * Favorable working conditions and social benefits in effect at the company (Health Insurance and Life Insurance).