Lead Data Engineer managing data architectures and pipelines for LUZA Group. Oversee end-to-end project delivery while promoting best engineering practices.
Responsibilities
Design and implement scalable, secure, and resilient data architectures (on-prem, cloud, or hybrid)
Manage the full lifecycle of data projects, from requirements gathering to delivery and maintenance
Develop and optimize ETL processes for handling large volumes of structured and unstructured data
Maintain data pipelines and oversee ingestion processes across multiple platforms
Promote best practices in data engineering, including version control, automated testing, CI/CD, and monitoring
Collaborate with Data Governance, Analytics, and AI teams to ensure data consistency and usability
Provide hands-on expertise in ETL development, pipeline maintenance, and data ingestion using Azure Data Lake and Databricks
Promote agile and DevOps practices within the team
Requirements
Minimum of 10 years' experience in Data Engineering
Experience leading multidisciplinary teams
Experience in end-to-end project delivery, from requirements gathering to deployment
Strong communication skills
Familiarity with emerging Big Data technologies
Experience in designing data architectures
Ability to promote agile and DevOps practices
Benefits
Important: 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. #VisionaryFuture - Build the future, join our living ecosystem!
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