Senior Data Engineer / Analytics Engineer (AWS) - Remote

Overview

DVT is one of the top software development companies on the continent. Our engineers consult on cutting-edge platforms at leading companies across South Africa and globally. You'll work alongside some of the most established practitioners in the country, on the latest technologies in the modern data stack.

We are proud of our culture of continuous learning, internal knowledge sharing, and sponsored technical events across the AWS and data ecosystem.

We are looking for a Senior Data Engineer / Analytics Engineer to join our Data and Automation practice on a high-impact client engagement. You will help design, build, and operate a modern AWS-first data platform — moving data through S3 into Redshift Serverless, orchestrated by Airflow, modelled with dbt, and scripted in Python, with a likely evolution towards Snowflake.

This is a client-facing role in a fully remote environment. You will own pipelines end to end, shape analytics engineering practices, and communicate clearly with distributed stakeholders. This is not a generic backend engineering role. Strong software engineers are only relevant where they bring credible, hands-on experience in a modern cloud data platform.

In Short

• 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 confidently across S3 and Redshift Serverless for storage and warehousing.
• Contribute to the roadmap and potential migration toward Snowflake as a future warehouse.
• Write clean, maintainable Python for pipeline logic, scripting, and lightweight engineering tasks.
• Engage directly with client stakeholders: gather requirements, present solutions, and advise on trade-offs.
• Partner with analysts, product teams, and other engineers in a distributed, remote-first setup.
• Contribute to architectural reviews, retrospectives, and continuous improvement of platform practices.
• Self-directed delivery in a fully remote, client-facing environment.

Requirements

• 5+ years in data engineering, analytics engineering, or closely related roles.
• Strong hands-on AWS data platform experience.
• Apache Airflow experience in designing, maintaining, and troubleshooting production pipelines.
• Solid analytics engineering patterns using dbt.
• Redshift experience preferred; Snowflake highly desirable.
• Confident scripting in Python for pipelines and transformations.
• Strong understanding of data modelling.
• Excellent written and verbal communication skills.
• Reliable home-office setup for remote work.

Benefits

• Continuous learning and internal knowledge sharing.
• Sponsorship for technical events.
• Work with leading companies and established practitioners.
• Engagement in high-impact client projects.
• Fully remote working environment.