Data Engineer II

RELX; Cape Town; On-site; ZAR 480 000 - 580 000; Full time

Job summary

A leading global information provider is looking for a Data Engineer to drive the development of data pipelines and support high-quality data delivery. In this early-career role, you will work with technologies like Python and Databricks, collaborating with teams to enhance business outcomes. Ideal candidates should have a problem-solving mindset and good communication skills. Join us for a flexible work environment that promotes innovation and personal development.

Benefits

Medical Aid

Retirement Plan

Flexible working hours

Wellbeing initiatives

Qualifications

• Hands-on experience in a software/data engineering role.
• Proficiency in Python and working knowledge of PySpark or similar frameworks.
• Understanding of data delivery patterns, including REST APIs.

Responsibilities

• Contributing to the development and maintenance of data pipelines using Python.
• Supporting the delivery of enriched datasets via Databricks and APIs.
• Collaborating with cross-functional teams to enhance data quality.

Skills

Python

Data delivery patterns

Problem-solving

Communication skills

Tools

Databricks

PySpark

SQL

Git

Job description

Would you like to ensure the successful delivery of the Data Platform and Software Innovations?

Do you enjoy creating a collaborative and customer-focused working environment?

About Team

LexisNexis Intellectual Property, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

About Role

As a Data Engineer at LexisNexis Intellectual Property (LNIP), you’ll contribute to building and maintaining our next-generation Strategic Data Platform. This platform ingests, enriches, and transforms global patent and IP-related data to power key products like PatentSight+, as well as a growing ecosystem of internal tools and customer-facing solutions.

In this early-career role, you will collaborate with senior engineers and technical leads to design robust data pipelines, apply engineering best practices, and support the delivery of high-quality data through modern platforms such as Databricks, APIs, and event-driven systems. You'll gain practical experience working at scale while contributing to the delivery of data directly to customers and systems across the organisation.

Key Responsibilities

• Contributing to the development and maintenance of data pipelines using Python, PySpark, and Databricks
• Supporting the delivery of enriched datasets to customers via Databricks, RESTful APIs, and event-driven delivery mechanisms (e.g., Kafka or similar)
• Assisting in data ingestion, transformation, and enrichment across the medallion architecture (bronze → silver → gold)
• Collaborating with cross-functional teams, including engineers, data analysts, and product managers
• Participating in code reviews, unit testing, and documentation to ensure high code quality and maintainability
• Troubleshooting and debugging data issues across development and production environments
• Following and contributing to internal best practices around data engineering and software development
• Continuously developing technical skills and understanding of the business domain

Requirements

• Hands-on experience in a software/data engineering role.
• Proficiency in Python and working knowledge of PySpark or similar distributed data frameworks.
• Familiarity with Databricks or a strong interest in learning and working with the platform.
• Understanding of data delivery patterns, including REST APIs and event-driven architectures.
• Experience with SQL and structured data manipulation.
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving mindset and willingness to learn from feedback.
• Good communication skills and ability to work in a team setting.

Nice to Have

• Exposure to cloud platforms like AWS, Azure, or GCP.
• Experience working with large-scale or open datasets.
• Familiarity with medallion architecture or similar data lake patterns.
• Understanding of data quality principles and CI/CD pipelines for data workflows.

Why Join Us?

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

• Medical Aid
• Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
• Modern family benefits, including adoption and surrogacy
• Study Leave

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

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