Head of Data Engineering
Head of Data Engineering
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Were partnering with a fast-scaling innovation-led company at the forefront of EV manufacturing IoT telematics financial systems and geospatial platforms to hire a Head of Data Engineering. This is a leadership role that combines strategy architecture and team building driving enterprise-wide data transformation.
Location: Kenya
Reporting To: Chief Technology Officer (CTO)
Industry: Electric Vehicles Big Data AI/ML Digital Platforms
Role Overview
As Head of Data Engineering you will own the vision design and development of next-gen data platforms. Youll lead a talented team across geographies to build scalable reliable data pipelines that power analytics AI models and business intelligence all while embedding best-in-class engineering practices and data governance.
Key Responsibilities
Strategic Leadership
- Define and drive the data engineering roadmap in alignment with digital strategy
- Build and scale a high-performing team in India and other hubs
- Foster a data-driven quality-first engineering culture
Architecture & Delivery
- Design and build robust high-throughput data pipelines (PySpark Spark Hadoop)
- Architect scalable platforms for structured and unstructured data
- Implement efficient ETL transformation and integration workflows
- Develop and maintain data lakes/warehouses with a focus on cost-performance balance
Governance & Optimization
- Enforce data quality and validation frameworks
- Optimize systems for performance cost and reliability
- Partner with cybersecurity and compliance for regulatory alignment (e.g. GDPR DPDP)
Collaboration & Mentoring
- Translate business needs into data engineering solutions
- Work closely with analytics product and software teams
- Mentor engineers; establish engineering best practices and DevOps for data pipelines
What Were Looking For
- 8 years in Data Engineering with 2 years in leadership
- Strong expertise in PySpark Spark Hadoop ecosystem
- Hands-on with Python (preferred) Scala or Java
- Deep experience with AWS/GCP/Azure and native data services
- Proven success in building data lakes warehouses and real-time pipelines
- Familiar with orchestration tools (Airflow Prefect etc.)
- Strong leadership stakeholder management and communication skills
Bonus if you have:
- Containerization (Docker Kubernetes)
- Kafka/event-driven pipelines
- AI/ML pipeline integration experience
- SQL optimization and RDBMS tuning
Why Apply
This is your chance to shape the data future of a tech-led mission-driven organization thats transforming mobility sustainability and digital ecosystems. If youre passionate about leading innovation scaling systems and mentoring talent wed love to connect.
Employment Type
Full Time
