Senior Data Engineer, JD (Real Estate Fintech) at ACE Recruiters Limited

ACE Recruiters Limited (RC: 1397156) commenced operations March 2017. We are a People and Business Management Consulting firm passionate about adding value. We offer services in the areas of Strategic Human Resource Consulting and we have the capacity to ensure returns on investment in the following areas: Outsourcing – Personnel, Sales & Business Process,  Human Resources Consulting, Training and Development, Sales Support – Market Intelligence, Promotion & Activation.

With a strong drive to be one of the best in our areas of core competences, we pride ourselves as specialists in our chosen field of endeavour. We are driven by a sense of mutually beneficial relationships with our clients, striving to create high performance teams, and deliver agile operations that responds and drives the ever changing ways of doing business/working.

We are recruiting to fill the position below:

Job Title: Senior Data Engineer, JD (Real Estate Fintech)

Location: Lagos Island, Lagos
Employment Type: Contract
Department: Data & Technology
Reports To: CTO / Head of Data

Role Overview

• We are seeking a seasoned Data Engineerto build and manage scalable data infrastructure that powers ourreal estate financing, property transactions, and investment platforms.
• The ideal candidate will play a critical role in designing data systems that supportproperty analytics, mortgage/loan processing, customer insights, and financial reporting, enabling smarter investment decisions and operational efficiency.

Key Responsibilities
Data Engineering & Architecture:

• Design and maintain scalabledata pipelines (ETL/ELT)for real estate and financial data.
• Build and optimizedata warehouses and data lakesfor property, customer, and transaction data.
• Develop robust data models to supportproperty valuation, loan underwriting, and investment analytics.

Real Estate & Financial Data Integration:

• Integrate data fromproperty listings platforms, CRM systems, payment gateways, and financial systems.
• Manage data related tomortgages, rent payments, property sales, and investor portfolios.
• Ensure seamless data flow betweenproperty management systems and fintech platforms.

Data Pipeline & Processing:
Develop batch and real-time pipelines for:

• Property listing updates
• Transaction tracking
• Payment processing
• Investor reporting
• Ensure data accuracy, consistency, and timeliness across all systems.

Analytics & Business Intelligence Enablement:

• Structure datasets forreal-time dashboards and reporting(sales, property performance, revenue).
• Supportdata scientists and analystswith clean, reliable datasets.

Enable advanced analytics such as:

• Property price trends
• Customer segmentation
• Investment ROI analysis

Cloud & Big Data Technologies:

• Build and manage cloud-based data infrastructure (AWS, Azure, or GCP).
• Utilize tools such asAirflow, Spark, Kafka, dbt, Snowflake, or BigQuery.
• Optimize storage and compute costs for large datasets.

Data Governance, Compliance & Security:

• Ensure compliance withfinancial regulations and data protection laws(e.g., NDPR, GDPR where applicable).
• Implementdata validation, access control, and audit mechanisms.
• Maintain data integrity for financial reporting and audits.

Collaboration & Stakeholder Engagement:

• Work closely withProduct, Finance, Risk, and Operations teams.
• Translate business needs intoscalable data solutions.
• Provide insights into improvingcustomer acquisition, loan performance, and asset utilization.

Key Performance Indicators (KPIs)

• Data pipeline uptime (≥99%)
• Accuracy of financial and property datasets
• Reduction in data inconsistencies and errors
• Speed of data availability for reporting
• Efficiency of data processing and cost optimization
• Delivery timelines for data-driven features

Qualifications & Experience

• Bachelor’s degree in Computer Science, Data Engineering, Finance, or a related field
• 5–8+ yearsof experience in data engineering, preferably in fintech, proptech, or financial services
• Strong experience withfinancial data systems, transactions, or lending platforms
• Proven ability to handlelarge-scale structured and unstructured datasets

Technical Skills:

• Advanced SQL and database design
• Python (or Scala/Java) for data processing
• ETL/ELT tools (Airflow, dbt, Talend, etc.)
• Data warehousing (Snowflake, Redshift, BigQuery)
• Cloud platforms (AWS, Azure, or GCP)
• API integration and data ingestion pipelines
• Experience withpayment systems or financial transaction data

Preferred Experience (Added Advantage):

• Experience inreal estate platforms, property marketplaces, or mortgage systems
• Knowledge ofloan underwriting, credit scoring, or risk modeling
• Familiarity withGIS/location-based datafor property analytics
• Exposure toinvestment platforms or crowdfunding systems

Soft Skills:

• Strong analytical thinking and problem-solving ability
• Ability to translate complex data into business insights
• Excellent communication and stakeholder engagement
• High attention to detail and data accuracy
• Ability to thrive in a fast-paced fintech environment

What We Offer:

• Competitive salary and performance-based incentives
• Opportunity to work at the intersection ofreal estate and financial technology
• Exposure to high-impact data-driven projects
• Collaborative, innovative, and growth-oriented work environment

Application Closing Date
9th April, 2026.

How to Apply
Interested and qualified candidates should:
Click here to apply online