We are seeking a dynamic and analytical Lead Data Engineering to drive data strategic initiatives from foundation across the organization. This role demands a seasoned leader with deep technical expertise and proven experience in transforming the data landscape for the organization and managing high-performing teams. The ideal candidate will work closely with senior strategy and digital teams to drive data-backed decision-making, operational efficiency, and innovation.
DESCRIPTION
Lead and manage a cross-functional team of data engineers, BI developers, and analysts, fostering technical excellence and collaboration.
Architect, implement, and maintain scalable data platforms using AWS, Azure, Fabric, and Databricks.
Build relational data models and semantic layers to support AI/ML applications and self-serve analytics.
Design and develop data warehouses, data marts, and dimensional models using Star/Snowflake schemas.
Drive continuous improvements in data architecture, modelling, and performance optimization.
Establish and enforce data governance practices including documentation, data lineage, quality checks, metadata management, and access controls.
Collaborate with stakeholders to translate business needs into high-quality data solutions and actionable insights.
Oversee the development of dashboards and reports using Tableau and Power BI, ensuring multi-level data security and governance.
Lead automation and AI use cases (e.g., chatbots, AI agents, predictive models) to reduce operational effort and cost.
Present insights and strategic recommendations to executive leadership including CEO, Chairman, and Directors.




Conduct end-user training and promote data literacy across the organization.
QUALIFICATIONS, EXPERIENCE, & SKILLS
Required Experience & Skills:
6+ years of hands-on experience in Data Analytics, Engineering, and BI.
Proven leadership in managing data teams and delivering enterprise-scale solutions.
Expertise in AWS, Azure, SQL Server, Oracle-ODI, PL/SQL, Python, and PySpark.
Strong proficiency in Tableau, Power BI, Glue, Alteryx, and Business Objects.
Deep understanding of data modeling, warehousing, and performance optimization.
Strong communication, stakeholder engagement, and project management skills.
Experience in documentation, milestone tracking, and delivering high-impact solutions.
Demonstrated success in AI use cases for operational efficiency and forecasting.
Preferred Qualifications:
Bachelor's or master's degree in Computer Science, Data Engineering, or related field.
Certifications in AWS or Azure; Tableau or Power BI certifications are a plus.
Experience in FMCG/Food manufacturing industries.
CORE COMPETENCIES
Behavioural:
Leadership and team management
Stakeholder engagement
Strategic thinking and decision-making
Effective communication and presentation
Project management and milestone tracking
Collaboration and cross-functional coordination
Training and data literacy promotion
Technical:
Expertise in AWS, Azure, SQL Server, Oracle, PL/SQL, Python, PySpark
Proficiency in Tableau, Power BI, Glue, Alteryx, Business Objects
Data modelling, warehousing, and performance optimization
AI/ML applications and automation use cases
Data governance and metadata management
Documentation and data lineage tracking
Security and access control implementation

📌 Data Engineering Lead (Italia)
🏢 Americana Foods
📍 Italia