Data Engineer
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Job Description
Data Engineer responsible for building and optimizing data pipelines at LUZA Group. Join a dynamic team focused on reliable data solutions in a remote environment.
Responsibilities:
- Design, implement, and maintain scalable data pipelines, ETL/ELT processes, and integrations across multiple systems
- Develop, optimize, and maintain database structures, ensuring high data quality, performance, and availability
- Work with business stakeholders and analysts to understand data needs and translate them into technical solutions
- Support and evolve our data warehouse and reporting environments, particularly in Snowflake and Qlik
- Ensure data consistency, accuracy, and integrity across systems and projects
- Contribute to improving existing data flows, storage strategies, and analytical frameworks
- Collaborate closely with data analysts, software developers, and other IT professionals in an agile environment
Requirements:
- Strong experience with relational databases, particularly PostgreSQL (advanced SQL, performance tuning, schema design)
- Solid experience with Snowflake (data modelling, ELT patterns, performance optimization)
- Experience with Qlik (Qlik Sense or QlikView) for data modelling, dashboards, and reporting
- Familiarity with data engineering concepts such as ETL/ELT pipelines, data lakes, and data warehouses
- Experience working with scripting or general-purpose languages (e.g., Python or Java is a plus)
- Comfortable working in Linux-based environments
- Understanding of data governance, data quality, and metadata management
- Strong data analysis skills and the ability to translate data into actionable insights
- Excellent debugging, troubleshooting, and optimization techniques.
Benefits:
- Important : Our company does not sponsor work visas or work permits.
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