Data Engineer at Oando Plc

Job Title: Data Engineer

Location: Lagos
Job Type: Full-time

Overall, Purpose of Job

• The Data Engineer will be responsible for designing, building, and optimizing data infrastructure, enabling seamless access to high-quality data across the organization.
• This role supports advanced data-driven initiatives across all subsidiaries including upstream, trading, and clean energy arms by ensuring reliable and secure data pipelines.
• You will collaborate with data scientists, analysts, and business stakeholders to enable insights and business intelligence.

Key Responsibilities

Data Infrastructure & Pipeline Development:

• Design, build, and maintain efficient and scalable data pipelines.
• Automate data ingestion processes from multiple sources, ensuring timely delivery.
• Collaborate with data scientists and analysts to ensure data pipelines are robust and support their needs for modeling and analysis.
• Continuously optimize existing data pipelines to improve performance, scalability, and reliability.
• Ensure smooth operation of ETL processes and resolve any data-related issues promptly.

Data Storage and Architecture:

• Implement best practices for data storage using modern data warehouse solutions (e.g. Snowflakes, Redshift, BigQuery)
• Design and manage both SQL and NoSQL databases for different business applications.
• Maintain and evolve data architecture to support business expansion needs.

Data Management and Governance:

• Ensure data integrity, accuracy, and security through rigorous data management practices.
• Implement data governance frameworks, ensuring compliance with internal policies and external regulations.
• Establish data monitoring and auditing procedures to track data usage and identify potential risks or inconsistencies.
• Ensure data privacy and security protocols are maintained, adhering to NDPA and other relevant data protection regulations.

Collaboration:

• Work closely with Data Scientists, Analysts, Business Information Coordinators, and stakeholders to gather requirements and implement effective data solutions
• Collaborate with IT and business units to align data strategies with organizational goals.
• Collaborate with solution architects to optimize the cloud data infrastructure.

Relationships

Reports To:

• Assistant Manager, Solution Architect

Responsible For:

• Building, maintaining, and optimizing scalable data pipelines.
• Ensuring data accuracy and availability across systems.
• Implementing data governance and security best practices.
• Supporting data-driven decision making across the business.

Key Performance Indicators (KPIs):

• Data Pipeline Uptime: Ensure 99.5% uptime for critical data pipelines.
• Data Governance Compliance: Achieve 100% compliance with governance and security policies, including audit trails, access controls, and regulatory adherence.
• Data Processing Efficiency: Improve pipeline processing speed by an additional 20% through continuous optimization, automation, and system upgrades.
• Data Storage Optimization: Reduce storage costs by 15% through effective data management.
• Data Quality Metrics: Achieve 95% data accuracy across all systems.

Person Specification

• Bachelor’s Degree in Computer Science, Information Systems, or a related field.
• 3-5 years of experience as a Data Engineer or in a similar role.
• Proficiency in SQL, Python, and cloud data platforms (AWS, Azure and Google Cloud).
• Strong understanding of relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Familiarity with data modeling, data warehousing, and Big Data processing (e.g., Hadoop, Spark).
• Knowledge of containerization (e.g., Docker, Kubernetes) is a plus.
• Proficient in Microsoft Office Suite, (including Word and Excel.)
• Professional qualifications such as ITIL (Information Technology Infrastructure Library).

Required Competencies:

• Problem-solving and Critical Thinking: Ability to analyze data, identify trends, and recommend actionable solutions
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
• Experience in the energy sector, drone datasets or working with IoT dataset is a plus.
• Familiarity with distributed systems and cloud-based data platforms.
• Strong collaboration and team-building skills to work cross-functionally.
• Experience working in Agile or DevOps environments