Data Engineer

We are currently seeking an experienced Senior Data Engineer to join a large-scale, data-driven environment and lead the design and implementation of robust data engineering and integration solutions.

The role focuses on building and scaling enterprise-grade data platforms, leading data integration initiatives, and ensuring high standards of data quality, governance, and performance across complex and diverse data sources.

• Lead the design and execution of scalable data engineering and integration architectures aligned with business objectives
• Develop and maintain advanced data engineering frameworks capable of handling large-scale and complex data workflows
• Integrate multiple data sources while ensuring data quality, consistency, and accessibility
• Apply best practices in data modeling, transformation, and storage
• Collaborate with cross-functional stakeholders to understand data needs and translate them into technical solutions
• Establish and enforce data engineering standards, best practices, and governance frameworks
• Evaluate and recommend emerging data technologies to enhance data platforms and capabilities
• Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or a related field
• 8+ years of experience in Data Engineering or related roles
• Strong expertise in data architecture, ETL/ELT, data warehousing, and real-time data processing
• Hands‑on experience with tools and technologies such as Spark, Kafka, Hadoop, SQL/No
  
  SQL databases
• Experience with cloud data platforms (e.g., AWS, Google Cloud, Alibaba Cloud, or similar)
• Solid understanding of data governance, data quality, and data security (knowledge of PDPL / GDPR is a plus)
• Strong problem‑solving skills and ability to work in complex, fast‑paced environments

📌
Experience Level: Senior (8+ years)

Mid‑Senior level

Full‑time

Information Technology

IT Services and IT Consulting