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Analytics Engineer (Remote)

Indeed
Full-time
Onsite
No experience limit
No degree limit
R. de Rodrigues Sampaio 145, 4000-114 Porto, Portugal
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Description

Job Summary: We are seeking an Analytics Engineer to prepare, transform, and analyze data, while developing and managing semantic models in Power BI/Fabric and optimizing processes. Key Highlights: 1. Integration into a solid and credible Group with growth-oriented projects 2. Opportunity for professional development and career progression 3. Favorable working conditions and social benefits A centenary 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 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 an expanding force in the heavy vehicle (MAN) and agricultural/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—as well as related services. Joining the JAP universe means committing to evolution and diversity across markets, customers, geographies, people, and teams. If you seek an engaging 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 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 credible Group actively implementing multiple growth projects; * Training and opportunities for professional and personal development; * Real opportunity for career progression aligned with performance and demonstrated competencies; * Favorable working conditions and current company social benefits (Health Insurance and Life Insurance).

Source:  indeed View original post
João Santos
Indeed · HR

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