We're 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. You'll 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 dataImplement efficient ETL, transformation, and integration workflowsDevelop and maintain data lakes / warehouses with a focus on cost-performance balanceGovernance & Optimization
Enforce data quality and validation frameworksOptimize systems for performance, cost, and reliabilityPartner with cybersecurity and compliance for regulatory alignment (e.g., GDPR, DPDP)Collaboration & Mentoring
Translate business needs into data engineering solutionsWork closely with analytics, product, and software teamsMentor engineers; establish engineering best practices and DevOps for data pipelinesWhat Were Looking For
8+ years in Data Engineering with 2+ years in leadershipStrong expertise in PySpark, Spark, Hadoop ecosystemHands-on with Python (preferred), Scala, or JavaDeep experience with AWS / GCP / Azure and native data servicesProven success in building data lakes, warehouses, and real-time pipelinesFamiliar with orchestration tools (Airflow, Prefect, etc.)Strong leadership, stakeholder management, and communication skillsBonus if you have :
Containerization (Docker, Kubernetes)Kafka / event-driven pipelinesAI / ML pipeline integration experienceSQL optimization and RDBMS tuningWhy Apply?
This is your chance to shape the data future of a tech-led, mission-driven organization that's transforming mobility, sustainability, and digital ecosystems. If you're passionate about leading innovation , scaling systems , and mentoring talent , wed love to connect.