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DATA ENGINEERING LEAD
Job Location:
Monthly Salary:
Experience Required:
Posted:
17 October 2026 (2 days ago)
Posted:
Application Deadline:
14 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Summary
The Data Engineering Lead serves as a pivotal figure within the IT Services sector responsible for architecting and overseeing the creation of robust large-scale data pipelines. This role demands a strategic vision to drive data architecture and engineering initiatives while ensuring seamless data integration and optimization. The position is critical for enabling data-driven decision-making across the organization requiring a professional who can balance technical depth with the ability to manage complex stakeholder relationships and mentor a high-performing team.
Responsibilities
- Design and implement comprehensive data architecture strategies to support enterprise-wide analytics and operational needs.
- Develop and maintain efficient ETL/ELT processes to facilitate smooth data integration across diverse systems.
- Construct and refine data models to ensure high performance scalability and reliability of data assets.
- Establish rigorous monitoring protocols for data pipelines proactively identifying and resolving troubleshooting issues to minimize downtime.
- Lead team members through mentorship conduct thorough code reviews and foster a culture of technical excellence.
- Manage stakeholder expectations and collaborate with cross-functional teams to align data solutions with business objectives.
- Oversee the deployment and optimization of large-scale data pipelines to handle increasing data volumes effectively.
Requirements
Requirements:
- A minimum of 8 to 12 years of professional experience in data engineering or related technical fields.
- Proven expertise in SQL and Python for data manipulation scripting and application development.
- Deep understanding of data modeling techniques and strategies for data optimization.
- Strong background in building deploying and managing ETL/ELT workflows and data integration solutions.
- Demonstrated ability to monitor complex data pipelines and execute effective troubleshooting procedures.
- Exceptional stakeholder management skills with a track record of successful cross-departmental collaboration.
- Experience in leading teams providing technical guidance and conducting peer code reviews.
- Familiarity with the design and implementation of large-scale data infrastructure.
Required Skills:
PRIMARY SKILLS Data Architecture & Engineering Large-Scale Data Pipelines SQL & Python Cloud Data Engineering Technical Leadership SECONDARY SKILLS ETL/ELT & Data Integration Data Modelling & Optimization Pipeline Monitoring & Troubleshooting Team Mentoring & Code Reviews Stakeholder Management
Required Education:
Bachelors degree in computer science Engineering or related field
