D&T Lead - Data Engineer

Purpose of the Job

The Lead Data Engineer is a senior individual contributor role within the Data & Analytics organization. This position does not carry people management or direct reporting responsibilities but plays a critical hands-on role in delivering high-quality, reliable, and scalable data solutions.

The role requires strong technical depth, quick problem-solving ability, and ownership of data engineering tasks and initiatives. The Lead Data Engineer is expected to work independently, collaborate closely with cross-functional teams, and drive data issues and projects to closure with speed and accuracy.

Job Description

Data Engineering & Delivery

• Design, develop, and maintain robust data pipelines for ingesting, transforming, and delivering structured and semi-structured data.
• Build and optimize SQL-based data models to support BI, reporting, and analytical use cases.
• Write efficient, scalable, and well-tested SQL and Python code.
• Ensure data accuracy, completeness, and consistency through validation and quality checks.

Troubleshooting & Support

• Quickly analyze data issues, identify root causes, and implement effective fixes.
• Support production data pipelines and analytical datasets to ensure stability and reliability.
• Proactively monitor data processes and address performance or quality concerns.

Collaboration & Ownership

• Work closely with BI analysts, data scientists, product teams, and business stakeholders to understand requirements and deliver solutions.
• Take end-to-end ownership of assigned tasks, enhancements, and data issues until closure.
• Participate in design discussions and provide practical, solution-oriented recommendations.

Continuous Improvement

• Contribute to improving data engineering standards, best practices, and documentation.
• Support knowledge sharing and technical discussions within the data team.
• Stay current with modern data engineering tools, frameworks, and techniques

Job Requirements - Experience and Education

• Bachelor’s degree in computer science, Engineering, or a related field.
• Typically, 5-8 years of hands-on experience in data engineering, BI engineering, or a similar data-focused role.

Technical Requirements

• Very strong proficiency in SQL, including complex queries, performance tuning, and data modelling.
• Strong hands-on experience with Python for data processing, automation, and problem-solving.
• Solid understanding of ETL / ELT concepts and data pipeline design.
• Experience working with relational databases and modern data platforms (cloud data warehouses, data lakes, or similar).
• Exposure to at least one cloud platform such as Azure, AWS, or GCP, including working with cloud-based data storage, compute, or analytics services.
• Familiarity with batch data processing and basic streaming concepts.
• Experience using version control and collaboration tools (e.g., Git, JIRA, Confluence).
• Prior experience in a data or technology support role (production support, BI support, data ops, etc.) is a plus, with the ability to troubleshoot and resolve issues under time pressure.

Leadership Behaviors

Building Outstanding Teams

Setting a clear direction

Simplification

Collaborate & break silos

Execution & Accountability

Growth mindset

Innovation

Inclusion

External focus

Skills

Analytical Skills

Communication Skills

Cross-Functional Collaboration

Leadership Skills

Problem Solving And Critical Thinking

Results Driven

Software Troubleshooting

Disciplined Agile Delivery

Problem Diagnosis and Resolution

Solution Delivery

Proactive Maintenance

Product Ownership