Data Engineering Lead

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