Junior Data Engineer

Strategic Legal Practices; Milnerton; On-site; ZAR 1 243 000 - 1 777 000; Full time

Job summary

A high-impact litigation firm is seeking a motivated Junior Data Engineer to contribute to building scalable data pipelines and analytics solutions. This role offers hands-on experience with modern data tools and mentorship from experienced engineers. Ideal for recent graduates or those graduating in Fall 2025, the position emphasizes problem-solving skills and a proactive mindset, with a competitive salary range of $70,000 – $100,000 annually.

Benefits

401(k) with Employer Match

Health, Dental, and Vision Insurance

Generous Paid Time Off

Employee Assistance Program (EAP)

Qualifications

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

Responsibilities

• Design, build, and maintain data pipelines and analytics solutions.
• Gather requirements and translate them into data models.
• Monitor and improve data quality and availability.

Skills

SQL

Python

Problem-solving

Collaboration

Education

Graduated or graduating in Fall 2025

Tools

dbt

Redshift

Looker

Tableau

Palantir Foundry

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 2025

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 with 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: $70,000 – $100,000 annually (depending on experience)
• 401(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.