TIKO - Data Engineering Team Lead

Tiko is currently hiring a Data Engineering Team Lead to join their amazing team

About the company: Tiko inspires futures where girls and young women take charge of their sexual and reproductive choices, with the freedom to shape their lives. Founded in 2014, Tiko is an African nonprofit organisation that enhances the potential and fosters the resilience of adolescent girls and young women (AGYW) in Sub-Saharan Africa by addressing the critical “Triple Threat”: early pregnancy, HIV, and sexual and gender-based violence (SGBV). Tiko has developed its own unique girl‑centric technology platform to unite an ecosystem of existing, established partners, providing an environment that enables girls to choose when, where, and how they meet their health and wellbeing needs. Leveraging this technology‑enabled, community‑driven approach, Tiko collaborates with local and national health systems to drive sustainable, transformative change. Tiko operates in seven countries, including Kenya, Ethiopia, Uganda, Burkina Faso, South Africa, Zambia and Nigeria.

About the role:

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 their 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.

Requirements:

- 8+ years of experience working with complex data sets and expertise in data and tools.

- At least 3 years 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.

Recruitment process:

Introductory call with recruiter | First Interview with Tech Team | Technical Challenge | Final interview with the Tech Team

Benefits and Allowances:

In addition to your monthly salary, they offer you:

- Benefits and allowances tailored to your location.

- Flexible work arrangements, including remote or hybrid options where applicable.

- A personal development budget of €500 per year to invest in your professional growth - whether through training, certifications, or career advancement opportunities.

- Comprehensive time‑off package, including 5 days of wellness leave, all regional public holidays, maternity and parental leave according to local regulations, and unlimited holidays subject to team coordination.

- The opportunity to shape a growing, impactful product and leave your mark on how we work.

- A culture built on trust - we believe you’ll do your best without the need for unnecessary rules or micromanagement.

Want to know more? Get in touch with us 👇

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