Data Engineering Lead
Pubblicato il 09-08-2026 - Nessun nome in Italia
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