Remote Senior Data Architect – Azure Pipelines & Analytics

MCI; Remote; ZAR 500 000 - 700 000; Full time

Job summary

A growing tech-enabled business services company is seeking a Senior Data Analyst to design scalable data processes within Azure infrastructure. The successful candidate will develop data pipelines, execute SQL queries, and utilize Python for data transformations. This role requires a Bachelor's degree and 5–7 years of experience in data engineering. Join a dynamic team dedicated to innovation and data-driven solutions.

Benefits

Paid Time Off

Incentives & Rewards

Health Benefits

Retirement Savings

Disability Insurance

Paid Training

Career Growth Opportunities

Casual Dress Code

Qualifications

• 5–7 years of hands-on experience in data engineering.
• Proven track record of working with Azure-based data solutions.
• Advanced SQL skills for large-scale data manipulation.
• Proficiency in Python for data transformation and automation.
• Strong knowledge of data modeling, warehousing, ETL processes.

Responsibilities

• Design, build, and manage efficient data pipelines using Azure Synapse and Data Factory.
• Leverage advanced SQL skills to extract and analyze large datasets.
• Develop and automate data transformation processes using Python.
• Create and manage data models and warehouse structures optimized for querying.

Skills

Data Pipeline Development

SQL Query Expertise

Python-based Data Transformation

Data Modeling and Warehouse Management

Performance Optimization

Data Security and Compliance

Team Collaboration

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field

Master’s degree

Tools

Azure Synapse

Data Factory

Power BI

Job description

A growing tech-enabled business services company is seeking a Senior Data Analyst to design scalable data processes within Azure infrastructure. The successful candidate will develop data pipelines, execute SQL queries, and utilize Python for data transformations. This role requires a Bachelor's degree and 5–7 years of experience in data engineering. Join a dynamic team dedicated to innovation and data-driven solutions.