Lead, Data Engineer (Full-Time)

Location: Accra

Company Profile

Ecobank Transnational Incorporated (ETI) is the parent company of the Ecobank Group, a leading pan-African banking institution operating across multiple African countries. We leverage innovation, technology, and data-driven insights to deliver world-class financial solutions. We are seeking an experienced and visionary Lead, Data Engineer to drive the evolution of our enterprise data platforms and support the Group’s digital transformation agenda.

Job Summary

The Lead, Data Engineer will provide strategic and technical leadership in designing, developing, and managing enterprise-scale data platforms that support analytics, artificial intelligence, machine learning, regulatory reporting, and business decision-making. The successful candidate will lead high-performing engineering teams, establish best practices, and deliver scalable, secure, and resilient data solutions across the Group.

Key Responsibilities

Strategic Responsibilities

• Define and execute the enterprise data engineering and platform roadmap in alignment with the Group’s data strategy and business priorities.
• Design and oversee modern data architectures, including Lakehouse and data warehouse solutions.
• Lead the development of scalable enterprise data products and reusable data assets.
• Establish data engineering standards, governance frameworks, and best practices for data ingestion, modelling, processing, and delivery.
• Drive the adoption of advanced analytics, AI/ML capabilities, and real-time data solutions.
• Partner with business leaders, affiliates, and technology teams to deliver scalable data solutions that create business value.
• Strengthen data governance, privacy, security, and regulatory compliance across enterprise platforms.
• Build, mentor, and develop a high-performing data engineering team while promoting continuous learning and innovation.
• Evaluate emerging technologies and continuously enhance the Group’s data architecture and platform capabilities.

Operational Responsibilities

• Lead the design, development, and deployment of scalable batch and real-time data pipelines supporting business intelligence, analytics, and machine learning.
• Develop and optimize ETL/ELT solutions using Databricks, Apache Spark, SQL, Python, and Microsoft Azure data services.
• Create and maintain high-quality data models, semantic layers, and business-ready datasets.
• Translate business requirements into practical, scalable technical solutions using agile delivery methodologies.
• Manage the daily performance, availability, and reliability of enterprise data platforms.
• Monitor, troubleshoot, and optimize data pipelines to ensure operational efficiency and service reliability.
• Implement data quality controls, validation processes, metadata management, and integrity checks across enterprise data assets.
• Develop CI/CD pipelines, version control practices, and release management processes for data engineering solutions.
• Collaborate with Data Science teams to support model development, deployment, and production environments.
• Oversee backup, disaster recovery, and business continuity processes for critical data platforms.
• Coordinate engineering activities across distributed teams and affiliate environments while ensuring service level agreement (SLA) compliance.

Qualification Required & Experience

• Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline.
• Minimum of seven (7) years’ progressive experience in data engineering, data platform development, or a related field, including at least three (3) years in a leadership role.
• Proven experience designing, implementing, and managing enterprise-scale data platforms, preferably within financial services or other highly regulated industries.
• Strong hands-on expertise in Databricks, Apache Spark, SQL, Python, Azure Data Factory, Azure Synapse Analytics, and Data Lake architectures.
• Deep understanding of ETL/ELT processes, streaming architectures, API integrations, data modelling, relational databases, and NoSQL technologies.
• Experience working with big data platforms and distributed data processing environments.
• Strong knowledge of data governance, metadata management, data lineage, data security, and regulatory compliance.
• Excellent communication, stakeholder management, presentation, and leadership skills.
• Strong analytical, problem-solving, organizational, and project management capabilities.
• Ability to manage multiple priorities while delivering high-quality solutions within agreed timelines.

Additional Advantage

• Master’s degree in Analytics, Business Administration, or a related discipline.
• Professional certifications in Microsoft Azure, Data Engineering, Cloud Architecture, or related technologies.
• Experience working in pan-African or multi-country environments.
• Ability to communicate in English and French or another African language.

Employment Type

Full-Time

Application Deadline

10 July 2026

How to Apply

Apply online by clicking on the Application button.