Data Migration Engineer ( Xpedeon to SAP)

Hr90 Degrees Consulting Services FZ LLC; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading data solutions company is seeking a Senior Data Engineer to design and maintain data pipelines using Azure Databricks, Python, and SQL. The successful candidate will have 3-8 years of experience and be proficient in optimizing ETL workflows, collaborating with teams for analytics solutions, and guiding junior engineers. Strong analytical and communication skills are essential. This role is based in Dubai, United Arab Emirates, in a fast-paced, collaborative environment.

Qualifications

• 3 - 8 years of data engineering experience.
• Proficiency with Azure, Databricks, Python, and SQL.
• Experience with cloud data platforms, data models, and data governance.
• Strong analytical, communication, and problem-solving skills.
• Ability to work in a fast-paced, collaborative environment.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks, Python, and SQL.
• Optimize ETL/ELT workflows, improving performance and ensuring data quality and governance.
• Collaborate with cross-functional teams to integrate data into analytics and AI solutions.
• Lead technical design, build data solutions, and enforce coding standards, security, and compliance.
• Guide junior engineers, driving data engineering best practices and knowledge sharing.

Skills

Azure

Databricks

Python

SQL

Data governance

Analytical skills

Communication

Problem-solving

Job description

Senior Data Engineer - Pyspark

Valuelabs

• 3 - 8 Years
• Dubai - United Arab Emirates

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks, Python, and SQL.
• Optimize ETL/ELT workflows, improving performance and ensuring data quality and governance.
• Collaborate with cross‑functional teams to integrate data into analytics and AI solutions.
• Lead technical design, build data solutions, and enforce coding standards, security, and compliance.
• Guide junior engineers, driving data engineering best practices and knowledge sharing.

Qualifications

• 3 - 8 Years of data engineering experience.
• Proficiency with Azure, Databricks, Python, and SQL.
• Experience with cloud data platforms, data models, and data governance.
• Strong analytical, communication, and problem‑solving skills.
• Ability to work in a fast‑paced, collaborative environment.