Data Engineering Team Lead at Tiko

The Job

• The Data Engineering Team Lead role encompasses leading the data team and utilizing software tools to transform and analyze data, as well as interpreting historical data. A significant aspect of the role is developing and maintaining features in our data warehouse and other platforms to ensure data availability throughout the organization.

Responsibilities:

• Lead the design, delivery, and evolution of the data platform, pipelines, and models
• Ensure high data quality, reliability, performance, and scalability
• Plan and prioritise work to deliver data initiatives aligned with business and product goals
• In collaboration with the data architect, provide technical leadership, architectural guidance, and code/design reviews
• Coach and support data engineers, fostering strong ownership and engineering standards
• Collaborate closely with analytics, product, and engineering stakeholders
• Balance new development, platform improvements, and technical debt
• Take ownership of delivery outcomes, risks, and continuous improvement

About you

• Data comes naturally to you, and you understand its significance and the optimal ways to leverage it. You have a keen eye for detail and the skills to design and develop tools that enhance data utilization. Your people management skills are outstanding, and you enjoy leading a team while collaborating with cross-functional teams.

Requirements:

• 8+ years of experience working with complex data sets and expertise in data and tools.
• At least 3 year of experience in leading a data engineering team is required.
• Extensive software development experience, including expertise in programming languages such as Python, Java, or Scala.
• Demonstrated proficiency in handling large volumes of data efficiently.
• Familiarity with data modeling, ETL (Extract, Transform, Load) processes, and data warehousing concepts.
• Advanced working knowledge of SQL and experience with relational databases. 
• Strong understanding of data quality, governance, and best practices.
• Proven experience making technical decisions
• Machine learning knowledge or experience would be a bonus.
• Strong communication skills, with the ability to document and explain technical concepts clearly.
• Currently based in South Africa or Portugal.