Senior Data Engineer

Firsttech; Johannesburg; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A technology solutions provider in Johannesburg is seeking a Senior Data Engineer to design and maintain data pipelines and architectures. The ideal candidate will have proficiency in Data Engineering, Data Analytics, and ETL processes, along with a Bachelor's degree in a related field. Strong attention to detail and problem-solving skills are essential. This is a full-time on-site role.

Qualifications

• Proficiency in Data Engineering and Data Modeling.
• Experience with Extract Transform Load (ETL) and Data Warehousing.
• Strong skills in Data Analytics.
• Excellent problem-solving abilities and attention to detail.

Responsibilities

• Design, develop, and maintain data pipelines and architectures.
• Data modeling and implementing ETL processes.
• Support data warehousing solutions.
• Perform data analytics to support business decisions.

Skills

Data Engineering

ETL

Data Warehousing

Data Analytics

Problem-solving

Attention to detail

Education

Bachelor's degree in Computer Science, Information Technology, or a related field

Job description

First Technology Digital is a future enablement partner specializing in product and software development, digital transformation consulting, and the design, development, and deployment of enterprise solutions to international clients.

As a subsidiary of First Technology Group, and a Microsoft Gold partner, First Technology Digital proudly roots its operations in South Africa.

Our services include Automation & Integration, Innovation & IoT, Digital Workplace, Data & Analytics, and Cloud & Migration.

Role Description

This is a full‑time on‑site role for a Senior Data Engineer located in the Johannesburg or Cape Town.

The Senior Data Engineer will be responsible for designing, developing, and maintaining data pipelines and architectures.

Day‑to‑day tasks will include data modeling, implementing ETL processes, supporting data warehousing solutions, and performing data analytics to support business decisions.

Qualifications

Proficiency in Data Engineering and Data ModelingExperience with Extract Transform Load (ETL) and Data WarehousingStrong skills in Data AnalyticsExcellent problem‑solving abilities and attention to detailBachelor's degree in Computer Science, Information Technology, or a related fieldExperience in enterprise‑level data management solutionsStrong verbal and written communication skills

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job Function

Information Technology IT Services and IT Consulting