Data Engineer at Infinion Technologies

Infinion Technologies designs productivity boosting solutions aimed at delivering business value and making infrastructure and applications available to enterprises. We are a technology and business solutions Company established with the objective of providing world class solutions to Enterprise Businesses. We seek to offer individuals and organizations sublime services to improve operational efficiency. As a certified Microsoft Partner, we never lose sight of the role we play in helping businesses automate their processes and solve their problems in the local and international community.

We are recruiting to fill the position below:

Job Title: Data Engineer

Location: Victoria Island, Lagos
Employment Type: Full-time

About the Role

• We are seeking an experienced Data Engineer to join our growing data team.
• The ideal candidate will have strong expertise in building and optimizing data pipelines, managing large-scale data integration, and working with Microsoft’s modern data stack (Microsoft Fabric, Azure Data Factory, Synapse, Power BI, etc.).
• You will play a key role in designing, implementing, and supporting data solutions that power analytics, reporting, and business decision-making.

Key Responsibilities

• Data Pipeline Development:
  • Design, build, and maintain scalable ETL/ELT pipelines for batch and real-time data.
  • Develop parameterized and reusable pipelines using Microsoft Fabric, Azure Data Factory, or Synapse Pipelines.
  • Optimize large-scale data ingestion and transformation processes using Databricks, PySpark, SQL, and Dataflows.
• Data Modeling & Storage:
  • Design and maintain Lakehouse, Data Warehouse, and Delta Lake structures.
  • Build and manage semantic models for reporting with Power BI.
  • Collaborate with analysts and business stakeholders to create efficient data models supporting analytics use cases.
• Governance, Security & Compliance:
  • Ensure proper data governance, lineage, and cataloging using Microsoft Purview.
  • Manage access and security via Microsoft Entra ID (Azure AD), roles, and service principals.
  • Implement best practices for data quality, integrity, and compliance with organizational and industry standards.
• Data Integration & Migration:
  • Work on data migration projects, moving workloads from on-premises to Azure Cloud or Microsoft Fabric.
  • Integrate data from multiple sources (databases, APIs, Event Hubs, third-party systems, etc.).
  • Implement data partitioning, chunking, and metadata-driven approaches for performance optimization.
• Collaboration & Documentation:
  • Work closely with data analysts, BI developers, and business stakeholders to understand requirements and deliver solutions.
  • Document technical designs, processes, and best practices for maintainability.
  • Contribute to knowledge sharing and mentoring within the data team.
• Key Skills & Qualifications
  • Qualification: Bachelor's Degree.
  • Professional Skills:
    • 4+ years of proven experience in a Data Engineering role (or similar).
    • Strong problem-solving skills and ability to optimize data processes.
    • Excellent communication and ability to translate technical solutions into business language.
    • Experience in client-facing or cross-functional roles is an advantage.
    • Relevant Microsoft certifications is a plus
  • Technical Skills:
    • Strong experience with Microsoft Fabric, Azure Data Factory, Synapse Analytics, and Power BI.
    • Knowledge of data modeling (star schema, data vault, dimensional modeling).
    • Familiarity with real-time streaming (Event Hubs, Kafka, Service Bus, or similar).
    • Experience with data governance tools (e.g., Microsoft Purview).
    • Solid understanding of CI/CD pipelines, Git, and DevOps practices.
    • Proficiency in SQL (T-SQL, query optimization, stored procedures).
    • Experience with PySpark, Python, or Databricks-like environments for big data processing.

Salary
N400,000 - N600,000 monthly.

How to Apply
Interested and qualified candidates should send their Applications to: [email protected] using the Job Title as the subject of the mail.

Application Deadline 31st October, 2025.