Analytics Engineer (Remote)

Description

Job Summary: JAP Group is seeking a Data Analytics Engineer to manage semantic models, create dashboards, and optimize data processes, working remotely. Key Highlights: 1. Integration into a solid group with growth-oriented projects 2. Real opportunity for career progression 3. Professional and personal training and development A century-old reference in the automotive and mobility sector, JAP Group represents 15 automotive brands across more than 60 sales and repair locations under **CARBY**, owns **MATRIZAUTO** (the country’s largest *megastore* for semi-new and used vehicles), and holds the **SIXT** rent-a-car master franchise in Portugal. Nationally, it is also a benchmark in the agricultural and industrial machinery and cargo handling equipment market, 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/industrial machinery markets. In Mozambique, under the Entreposto brand, it is a reference 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 are looking for an exciting professional challenge, this project is for you! **Analytics Engineer (Remote)** =============================== **Responsibilities** --------------------- * Experience in preparing, transforming, and analyzing data from multiple sources (SQL, APIs, cloud) * Data ingestion and transformation using Fabric, SQL, KQL, and Python * Development and management of semantic models in Power BI/Fabric * Creation of dashboards, reports, and performance indicators * Application of best practices for data quality, security, and governance * Development of data pipelines and integration processes * Collaboration with teams and stakeholders to define requirements * Focus on process optimization, reuse, and continuous improvement **Profile** ---------- * Master’s or Bachelor’s degree in Computer Engineering, Information Sciences, or related fields; * +3 years of experience in analytics engineering, BI, and data analysis * Proficiency in Power BI and semantic modeling, including dimensional modeling (star schema, snowflake) * Experience with enterprise-scale models, Direct Lake, and incremental refresh * Strong SQL, KQL, and DAX skills for data analysis * Knowledge of Microsoft Fabric, Data Factory, and Dataflows Gen2 * Experience with or interest in Python/PySpark and real-time data * Familiarity with composite models, AI/ML, and advanced analytics * Knowledge of ETL/ELT, incremental loading, data quality, and error handling * Implementation of KPIs, metrics, and semantic layers * Knowledge of data governance and security (RLS, CLS, DCL, etc.) * Best practices in dashboard visualization and design **We Offer** -------------- * Integration into a solid and reputable group currently implementing multiple growth projects; * Training and opportunities for professional and personal development; * A real opportunity for career progression aligned with performance and demonstrated competencies; * Excellent working conditions and current social benefits offered by the company (Health Insurance and Life Insurance).