Head of Data Engineering

1 week ago

Nairobi, Kenya Peergrowth Consultancy Co. Full time

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: KenyaReporting 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 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 that's transforming mobility, sustainability, and digital ecosystems. If you're passionate about leading innovation, scaling systems, and mentoring talent, wed love to connect.

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