View Jobs at Oando |
Full Time |
Lagos |
Posted 3 weeks ago |
JOB TITLE: Data Engineer
JOB LOCATION: Lagos
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JOB DETAILS:
- 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
HOW TO APPLY
To apply for the ongoing Oando job opening, visit the job APPLICATION PORTAL to submit your application!
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Job Features
Job Category | Oil and Gas / Marine |
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