Job Description

Job Title:

Mid to Senior Data Engineer (Data Vault Certified)

Location:

Remote (Must be available during Australian business hours)

Employment Type:

Full-time / Contract

About the Role:

We are looking for a highly skilled

Mid to Senior Data Engineer

with expertise in

Data Vault modeling

to join our team. The ideal candidate will be responsible for designing, developing, and optimizing data pipelines while ensuring the integrity and scalability of our data architecture. You will work closely with data analysts, data scientists, and business stakeholders to support data-driven decision-making.

Key Responsibilities:

Design, implement, and maintain scalable

data pipelines and ETL processes

. Develop and optimize

Data Vault 2.0 models

to support enterprise data warehousing. Ensure data integrity, quality, and consistency across multiple data sources. Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. Implement best practices for data governance, security, and compliance. Troubleshoot and optimize database performance, ensuring efficient data processing. Work in an

Agile

environment and contribute to continuous improvement initiatives. Document technical designs, workflows, and data architecture standards.

Required Skills & Qualifications:

5+ years

of experience as a

Data Engineer

or related role.

Data Vault 2.0 certification

is required. Strong expertise in

SQL

,

ETL/ELT pipelines

, and

data modeling

. Experience with

cloud-based data platforms

such as

Azure, AWS, or GCP

. Proficiency in

big data technologies

(e.g., Snowflake, Databricks, Redshift, BigQuery). Hands-on experience with

Python, Scala, or Java

for data processing. Strong knowledge of

data governance and security best practices

. Experience working in an

Agile/Scrum

environment. Excellent problem-solving skills and ability to work independently. Strong communication skills to collaborate with stakeholders and team members.

Preferred Qualifications:

Experience with

DataOps and CI/CD

for data engineering workflows. Familiarity with

real-time data processing

(Kafka, Spark Streaming, etc.). Previous experience working in

financial services, healthcare, or retail sectors

.

Work Hours & Benefits:

Must be available during

Australian business hours (AEDT/AEST)

. Flexible remote work arrangements. Competitive salary/package based on experience. Opportunity to work on cutting-edge data projects with a dynamic team. Professional development and certification reimbursement options.
If you are a

Data Vault expert

looking for an exciting opportunity to work in a fast-paced environment, please send you cv to info@aicaconsultancy.co.za or gtakudzwa@gmail.com

Job Type: Part-time

Pay: R400,00 - R750,00 per hour

Expected hours: 1 per week

Work Location: In person

Application Deadline: 2025/02/28