Data Engineer developing a modern data platform for LUZA Group. Acting as a bridge between technical and functional areas, collaborating closely with IT teams and stakeholders.
Responsibilities
Actively participate in defining, designing, and implementing a modern data platform, including data ingestion, processing, storage, modeling, and analytical consumption.
Promote a data-driven culture across the organization, ensuring compliance with established data management and governance processes.
Develop and maintain data pipelines (ETL/ELT), ensuring reliable integration of data from core systems and satellite applications.
Model data in data warehouses, data lakes, and analytical layers, ensuring quality, consistency, and performance.
Ensure data quality, integrity, and traceability by identifying anomalies and proposing structural improvements.
Translate business needs into data models, metrics, and actionable analyses.
Create exploratory analyses, reports, and dashboards to support activity monitoring and decision-making.
Collaborate closely with IT teams, business stakeholders, and external partners, serving as a bridge between technical and functional areas.
Document data models, data flows, and associated business rules to promote clarity and reusability.
Requirements
Degree in Computer Engineering, Information Systems, Data Science, Statistics, Mathematics, or a related field.
Experience in data engineering and data analysis, with hands-on technical experience.
Strong knowledge of relational databases, SQL Server, and data modeling.
Experience with ETL/ELT processes and data integration.
Experience with Business Intelligence tools, preferably Power BI (data modeling, DAX, and reporting best practices).
Ability to understand business processes and translate business questions into analyses and metrics.
Strong communication skills with both technical and non-technical stakeholders.
Critical thinking, autonomy, and a strong sense of responsibility.
Experience with cloud-based data projects (e.g., Azure or AWS).
Experience in financial or regulated environments.
Knowledge of programming languages used for analytics (e.g., Python).
Benefits
Our company does not sponsor work visas or work permits.
All applicants must have the legal right to work in the country where the position is based.
Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.
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