• Application Deadline: Sat, 27 Dec 2025 00:00:00 GMT
• Position: Senior Data Engineer



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 5 years



• Location Abuja




• Job Field Data, Business Analysis and AI  , ICT / Computer 
  
  

Job Summary

• We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable data infrastructure that supports analytics, reporting, and data-driven decision-making.


• The ideal candidate will play a key role in architecting reliable data pipelines, optimizing data systems, and ensuring high data quality across the organization while collaborating closely with analytics, product, and engineering teams.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines (ETL/ELT)


• Develop and manage data architectures including data lakes, warehouses, and streaming systems


• Ensure data quality, integrity, security, and governance across all data systems


• Optimize data processing performance and reliability for large datasets


• Collaborate with product, analytics, and engineering teams to understand data requirements


• Implement monitoring, alerting, and logging for data pipelines


• Lead code reviews and enforce data engineering best practices


• Mentor junior data engineers and provide technical leadership


• Document data models, pipelines, and system architectures


• Troubleshoot and resolve complex data-related production issues

Required Qualifications & Experience

• Bachelor’s Degree in Computer Science, Engineering, Mathematics, or a related field


• 5+ years of professional experience in data engineering or backend data roles


• Strong proficiency in SQL and data modeling


• Hands-on experience with Python, Java, or Scala for data processing


• Experience building ETL/ELT pipelines using tools such as Airflow, dbt, or similar


• Solid experience with data warehouses (BigQuery, Snowflake, Redshift, PostgreSQL, etc.)


• Experience working with large-scale data systems and distributed processing frameworks (Spark, Flink, etc.)


• Familiarity with cloud platforms (AWS, GCP, or Azure)


• Experience with version control systems (Git)

Preferred / Nice-to-Have Skills:

• Experience with real-time/streaming data (Kafka, Kinesis, Pub/Sub)


• Knowledge of data governance, privacy, and security best practices


• Experience with containerization and orchestration (Docker, Kubernetes)


• Exposure to BI and analytics tools (Looker, Power BI, Tableau, etc.)


• Experience in FinTech, SaaS, or high-volume data environments


• Familiarity with machine learning data pipelines

Soft Skills & Competencies:

• Strong analytical and problem-solving skills


• Excellent communication and stakeholder collaboration abilities


• Ability to work independently and take ownership of data systems


• Leadership mindset with mentoring experience


• High attention to detail and commitment to data reliability and quality.