Senior Data Engineer

Direct message the job poster from Aitek Group

The purpose of this position is to provide end-to-end technical expertise in designing, building, and maintaining data pipelines, models, and integration frameworks that support analytics, reporting, and AI-driven solutions across the organization. The role is responsible for ensuring data accuracy, consistency, and availability across multiple platforms, including dashboards, customer-facing applications, and backend systems. It encompasses active involvement in data architecture planning, API-based integration, and performance optimization to enable seamless data flow and actionable insights. The Data Engineer will also collaborate closely with cross-functional teams—including application developers, integration engineers, and business analysts—to ensure that data solutions are aligned with project objectives and core business systems, while supporting timely resolution of Incident Requests (IR) and Service Requests (SR) in accordance with service level expectations.

Main Duties & Responsibilities

• Design, develop, and maintain scalable data pipelines and integration workflows to support analytics, reporting, and operational systems
• Ensure data quality, consistency, and reliability across multiple platforms by implementing robust validation, cleansing, and transformation processes
• Collaborate with application developers, business analysts, and system owners to define data requirements and deliver solutions aligned with business objectives
• Optimize data storage and retrieval performance across databases, data lakes, and cloud platforms to support real-time and batch processing needs
• Support the deployment and enhancement of data models, APIs, and ETL / ELT frameworks, ensuring alignment with architectural standards and governance policies
• Monitor and resolve data-related Incident Requests (IRs) and Service Requests (SRs) in accordance with service level agreements and operational expectations
• Participate in planning and execution of data-centric IT projects and initiatives, including resource coordination, risk mitigation, and stakeholder engagement
• Maintain comprehensive documentation of data flows, schemas, and integration logic to support audit, compliance, and knowledge sharing
• Collaborate with cross-functional teams to ensure seamless integration of data solutions with core business systems and external platforms
• Stay abreast of emerging data technologies, tools, and best practices to continuously improve engineering efficiency and solution effectiveness

Education / Work Experience

OR

Skills

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting

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