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Team Lead, Data Engineering
About this role
The role is for a Team Lead in Data Engineering at First Bank in Nigeria. It targets experienced data engineers with leadership experience to guide a team in building enterprise-grade data platforms and pipelines. The job focuses on technical leadership, architecture, data security, governance, and operating resilient data solutions across varied environments. The employer is First Bank, a large Nigerian financial services institution with a broad regional footprint. The advert outlines responsibilities, required experience, and qualifications for leading data engineering initiatives in a regulated banking context.
What you would do
- Direct and mentor a team of data engineers to deliver data platforms and pipelines
- Set engineering standards, best practices, and coding guidelines
- Architect scalable, high-performance data solutions for structured and unstructured data across on-premises, hybrid, and multi-cloud
- Oversee data modelling, data warehousing, and metadata management
- Lead CI/CD, infrastructure-as-code, containerisation, automated testing, and monitoring implementations
- Ensure solutions comply with data privacy, security frameworks, and bank policies
- Drive data lineage, governance, auditing, and data loss prevention strategies
- Collaborate with architects, analytics leaders, stakeholders, and product owners to translate requirements into deliverables
- Manage production support, monitoring, incident response, disaster recovery, and root cause analysis
- Oversee project delivery, resource planning, budgeting, and risk management to meet SLAs and timelines
What they are asking for
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- Master's degree or relevant certifications preferred (e.g., Google Professional Data Engineer, AWS Certified Data Analytics)
- 8+ years in data engineering, data architecture, or software engineering
- At least 2 years in technical or people leadership roles in complex, regulated environments
- Experience designing and deploying large-scale data platforms using modern data stack technologies (Spark, Kafka, Flink, Hadoop, Snowflake, Databricks, Airflow)
- Experience with RDBMS/NoSQL databases and real-time/streaming architectures
- Strong programming skills in Python, Java, or Scala; API design and microservices experience
- Knowledge of CI/CD, DevOps, infrastructure-as-code (Terraform, Ansible), and container orchestration
- Understanding of data security, encryption, access controls, and banking regulatory frameworks
- Track record of innovation and driving operational excellence
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