Data Engineer – Analytics & Data Infrastructure

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