Remote Senior Data Engineer – Cloud Pipelines & Analytics

Digital Outsource Services; Cape Town; Remote; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Fully remote work arrangement

Health, dental, and vision insurance

Retirement contributions

Job summary

Digital Outsource Services seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines and infrastructure for advanced analytics. You will leverage cloud platforms (AWS/Azure/GCP) and modern data warehousing concepts, working with SQL and Python/Scala to enable data-driven decision making.

The role requires 8+ years in data engineering, strong collaboration with data scientists and stakeholders, and a commitment to data governance and security in a fully remote setting.

Qualifications

• 8+ years of experience in data engineering, focusing on large-scale data pipelines.
• Strong knowledge of data modeling, warehousing concepts, and cloud data services.
• Excellent problem-solving and communication skills, with ability to work remotely.

Responsibilities

• Design, build, and maintain scalable data pipelines for large-scale processing.
• Develop and optimize data models and data warehouses for performance.
• Collaborate with data scientists, analysts, and stakeholders to gather data requirements.
• Implement data governance, quality checks, and security measures.
• Lead design discussions and mentor junior data engineers.

Skills

SQL

Python

Scala

ETL/ELT

Data warehousing

Big data

Education

Bachelor's degree in Computer Science/Engineering

Master's degree in a related field

Tools

AWS

Azure

GCP

Redshift

BigQuery

Snowflake

Job description

Digital Outsource Services seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines and infrastructure for advanced analytics. You will leverage cloud platforms (AWS/Azure/GCP) and modern data warehousing concepts, working with SQL and Python/Scala to enable data-driven decision making.

The role requires 8+ years in data engineering, strong collaboration with data scientists and stakeholders, and a commitment to data governance and security in a fully remote setting.