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9 215 postes de

Quality à Afrique du Sud

Intermediate Data Engineer

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Cape Town
Sur place
ZAR 200 000 - 300 000
Il y a 16 jours
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Intermediate Data Engineer
LexisNexis
Cape Town
Sur place
ZAR 200 000 - 300 000
Plein temps
Il y a 16 jours

Résumé du poste

A leading legal analytics provider in Cape Town is seeking a Data Engineer to contribute to their Strategic Data Platform. In this early-career role, you will develop and maintain robust data pipelines using Python and Databricks, collaborating with senior engineers and cross-functional teams. The ideal candidate should have experience in software engineering, strong problem-solving skills, and a keen interest in data delivery patterns. The role promises professional growth in a supportive work environment.

Prestations

Medical Aid
Retirement Plan with Risk Benefits
Study Leave
Flexible Working Hours

Qualifications

  • Hands-on experience in a software/data engineering role.
  • Proficient in Python and working knowledge of PySpark or similar.
  • Experience with SQL and structured data manipulation.

Responsabilités

  • Develop and maintain data pipelines using Python and PySpark.
  • Support delivery of datasets via Databricks and RESTful APIs.
  • Collaborate with cross-functional teams including analysts and product managers.

Connaissances

Python
PySpark
SQL
REST APIs
Git
Problem-solving mindset
Communication skills

Outils

Databricks
Description du poste

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 Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

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:
  • Have hands‑on experience in a software/data engineering role.

  • Be proficient in Python and working knowledge of PySpark or similar distributed data frameworks.

  • Be familiar with Databricks or a strong interest in learning and working with the platform.

  • Have an understanding of data delivery patterns, including REST APIs and event-driven architectures.

  • Have experience with SQL and structured data manipulation.

  • Be familiar with version control systems (e.g., Git).

  • Have a solid problem‑solving mindset and willingness to learn from feedback.

  • Have good communication skills and an ability to work in a team setting.

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.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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