Junior Data Engineer

Strategic Legal Practices; Gauteng; On-site; ZAR 1 196 000 - 1 368 000; Full time

Job summary

A leading legal firm in Gauteng is seeking a motivated Junior Data Engineer. You will design and build data pipelines, learn to prepare data for analysis, and gain exposure to modern tools like dbt and Redshift. This role offers mentorship and opportunities for growth in a collaborative environment.

Benefits

Health, Dental, and Vision Insurance

Short-Term, Long-Term Disability & Life Insurance

Generous Paid Time Off

Employee Referral & Discount Programs

Employee Assistance Program (EAP)

Qualifications

• 1–2 years of experience in an analytics-focused role or strong academic/projects background.
• Familiarity with SQL and basic programming skills.
• Excited to learn modern data tools with guidance.

Responsibilities

• Work with senior engineers to design and maintain data pipelines.
• Learn to gather requirements and create trusted data models.
• Support self-service analytics by preparing clean data.

Skills

SQL

Python

Problem-solving

Curiosity

Collaborative mindset

Education

Degree in Data Engineering, Computer Science, or related fields

Tools

dbt

Redshift

Looker

Tableau

Job description

About the Role

Strategic Legal Practices

is looking for a motivated

Junior Data Engineer

who is eager to learn, grow, and be mentored by experienced engineers.

In this role, you'll contribute to building scalable data pipelines and analytics solutions that power decision-making across a high-impact litigation firm.

This is an excellent opportunity for someone early in their career who wants hands‑on experience, exposure to modern data tools, and guidance from senior team members.

You'll be supported with training, mentorship, and opportunities to take on progressively more responsibility as your skills grow.

If you're passionate about solving problems with data, curious about new technologies, and excited to make a meaningful business impact while learning from experienced mentors, we'd love to hear from you.

YOU MUST HAVE ALREADY GRADUATE OR WILL BE GRADUATING IN THE FALL OF

What You'll Do

Work closely with senior data engineers to design, build, and maintain data pipelines and analytic solutions.

Learn to gather requirements and translate them into trusted, extensible data models.

Partner with cross‑functional teams to understand how data can drive impact across the organization.

Support self‑service analytics by preparing clean, well‑modeled data for analysts and business users.

Monitor and improve data quality and availability under the guidance of senior team members.

Assist with diagnosing and resolving issues in development, staging, and production environments.

Contribute to existing codebases (e.g., Python, SQL) and learn best practices for scalable, maintainable engineering.

What We’re Looking For

1–2 years of experience

in an analytics‑focused role (or strong academic / projects background in data engineering, computer science, or related fields).

Familiarity SQL and basic programming (Python or similar).

Excited to learn modern data tools (dbt, Redshift, Looker / Tableau, etc.) with guidance.

Strong problem‑solving skills, curiosity, and eagerness to grow in a collaborative environment.

A proactive mindset : you’re willing to try, learn, and iterate—even if things aren’t perfect at first.

Bonus

Exposure to Palantir Foundry or interest in learning it.

Experience with academic or project work involving AI, data modeling, or analytics pipelines.

Understanding of (or curiosity about) generative AI, vector databases, or automation opportunities using data.

Salary and Benefits

Salary : $70, – $, annually (depending on experience)

(k) with Employer Match – Plan for your future with confidence and company support.

Health, Dental, and Vision Insurance – Comprehensive coverage to keep you and your family healthy.

Short‑Term, Long‑Term Disability & Life Insurance – Financial protection for life’s unexpected events.

Paid Parking – Convenient and covered.

Generous Paid Time Off – Time to rest and recharge.

Employee Referral & Discount Programs – Rewards and savings.

Employee Assistance Program (EAP) – Confidential resources for personal and professional support.

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