Data Engineer – Analytics & Data Infrastructure

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}; Homepage Software & Data IT & Telecoms Rest of Nigeria Full Time Data Engineer – Analytics & Data Infrastructure Data Engineer – Analytics & Data Infrastructure The Khana Group Software & Data 1 month ago Easy apply Rest of Nigeria (Nationwide) Full Time IT & Telecoms NGN
600,000 - 900,000 Share link Share on WhatsApp Share on LinkedIn Share on Facebook Share on Twitter Share via SMS Job summary We are building and strengthening our core engineering team and seeking a Data Engineer to design and manage the backbone of our data systems. As we scale, we must strengthen our data infrastructure to support automation, multi-country datasets, and enterprise-grade analytics. Min Qualification: Degree Experience Level: Mid level Experience Length: 4 years Job descriptions & requirements Responsibilities: Data Pipeline Development: Design, build, and maintain scalable ETL and ELT pipelines. Automate ingestion of data from survey platforms, APIs, field tools, and internal systems. Ensure reliable batch and near real-time data processing. Implement monitoring and alert systems for pipeline health. Data Cleaning & Structuring: Develop automated scripts for cleaning, validation, and transformation of datasets. Standardise data schemas across projects and countries. Ensure data consistency and integrity across all platform layers. Reduce manual data preparation and cleaning efforts. Data Architecture & Optimisation: Design data storage solutions optimised for analytics and large datasets. Implement indexing, partitioning, and query optimisation strategies. Improve data retrieval speed and reduce compute costs. Ensure scalable architecture that supports future product expansion. Automation & Performance: Build repeatable workflows for recurring reporting and dashboard products. Reduce turnaround time between data collection and analytics delivery. Collaborate with product and engineering teams to align data structures with platform needs. Data Governance & Security: Support secure handling of sensitive data in compliance with data protection standards. Implement structured access controls and audit tracking where required. Maintain documentation of data architecture and workflows. Requirements: 4+ years of experience in data engineering or data architecture roles. Strong proficiency in SQL. Experience with Python or similar data processing languages. Experience designing and maintaining ETL pipelines. Familiarity with cloud data platforms such as BigQuery, Redshift, Snowflake, or similar. Experience handling survey, research, or multi-country datasets is preferred. Strong understanding of data modelling and schema design. KPIs (First 12 Months): Complete data infrastructure audit within first 60 days. Automated ingestion pipelines operational within the first 90 days. Reduce manual data cleaning processes by at least 60%. Improve data processing speed by at least 40% from baseline. Scalable data architecture supporting multi-country datasets without performance degradation. Zero major data integrity failures in production systems. Documented and standardised data schemas implemented across projects. What We Offer : Competitive salary and performance incentives Equity or profit-sharing opportunities Global exposure and high-impact work across Africa A collaborative and ambitious work culture rooted in Community, Tribe, Innovation, and Excellence Why Join FieldWorkz? Be part of a mission-driven team revolutionising real-time data collection and research. Shape the future of a platform that empowers businesses, NGOs, and governments with high-quality insights. Work in a dynamic, innovative environment with opportunities for professional growth. Competitive salary, flexible work options, and a chance to make a real impact. Remuneration: NGN 800,000 - 1.2 Million Net Work Mode: Hybrid Ready to help shape the future of mobile research? Apply now and join the FieldWorkz team Log In and Apply Important safety tips Do not make any payment without confirming with the Jobberman Customer Support Team. If you think this advert is not genuine, please report it via the Report Job link below. Report Job Log in to apply now Continue with Google google-icon Continue with Linkedin Or continue with function updateStatus() {
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