Senior AWS Data Engineer | Analytics Platform Lead (Remote)

dvtcareers

South Africa

On-site

ZAR 900,000 - 1,700,000

Full time

14 days+

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Job summary

DVT is seeking a Senior Data Engineer / Analytics to join our Data and Automation practice on a high-impact client engagement. You will design, build, and operate a modern AWS-first data platform, moving data through S3 into Redshift Serverless, orchestrated by Airflow, modeled with dbt, and scripted in Python, with a path toward Snowflake.

This is a fully remote, client-facing role. You will own pipelines end to end, shape analytics engineering practices, and communicate clearly with

Qualifications

  • 5+ years in data engineering, analytics engineering, or closely related roles.
  • Strong hands-on AWS data platform experience—S3-native data workflows and warehouse delivery.
  • Apache Airflow design, maintenance, and production pipeline troubleshooting.

Responsibilities

  • Design, build, and maintain robust ETL/ELT pipelines across AWS-native data environments.
  • Own Airflow orchestration—scheduling, dependencies, retries, alerting, and operational support.
  • Develop analytics-ready data models in dbt using modular, warehouse-first transformation patterns.
  • Work across S3 and Redshift Serverless for storage and warehousing, with potential Snowflake migration.
  • Write clean Python for pipelines, testing, and automation.
  • Embed data quality, testing, and observability into every pipeline.
  • Engage with client stakeholders, gather requirements, and present solutions.

Skills

Data modelling
Communication
Remote collaboration
Self-directed delivery

Education

Bachelor's degree in CS/IS/Engineering
Matric

Tools

AWS
Airflow
dbt
Python
Redshift
Snowflake

Job description

DVT is seeking a Senior Data Engineer / Analytics to join our Data and Automation practice on a high-impact client engagement. You will design, build, and operate a modern AWS-first data platform, moving data through S3 into Redshift Serverless, orchestrated by Airflow, modeled with dbt, and scripted in Python, with a path toward Snowflake.

This is a fully remote, client-facing role. You will own pipelines end to end, shape analytics engineering practices, and communicate clearly with

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