Senior Data Engineer I

RELX; Durban; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A global information provider is seeking a Senior Data Engineer in Durban to design and maintain scalable data solutions that drive business insights. The role requires proven data engineering experience, cloud platform expertise, and strong programming skills. You will be responsible for building efficient data pipelines and collaborating across teams. The company promotes a healthy work/life balance with flexible working hours and various wellbeing initiatives.

Benefits

Flexible work hours

Wellbeing initiatives

Study assistance

Sabbaticals

Qualifications

• Proven experience (3+ years) in data engineering, software development, or a related field.
• Hands-on expertise with AWS and Amazon Redshift.
• Proficiency in Python or Java, and SQL/NoSQL databases.
• Strong understanding of data modeling and architecture principles.

Responsibilities

• Design and maintain scalable data pipelines and architectures.
• Lead migration from legacy BI tools to modern platforms.
• Collaborate across teams using Agile, Waterfall, or hybrid methodologies.
• Create and maintain ETL/ELT processes for data integrity.

Skills

Data engineering

Cloud platforms (AWS, Redshift)

Python or Java

SQL/NoSQL databases

Data visualization tools (Tableau, Power BI)

Agile methodologies

DevOps practices

Effective communication

Tools

AWS

Amazon Redshift

Tableau

Salesforce

Job description

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.

About the Job

Senior Data Engineer, where you'll design and maintain scalable data solutions that drive business insights. You'll work with global teams and modern platforms like AWS, Redshift, and Tableau to build efficient data pipelines, support analytics, and lead migrations from legacy systems. This role is ideal for someone who thrives in collaborative environments, enjoys solving complex problems, and values continuous learning.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and architectures using best practices. Develop solutions integrating customer data from business systems, usage analytics, and CRM platforms like Salesforce.
• Lead the migration from legacy BI tools (e.g., SSIS, SSAS) to modern platforms such as Redshift, Tableau, and Databricks.
• Identify and implement automation opportunities to enhance data workflows and efficiency.
• Collaborate across teams using Agile, Waterfall, or hybrid development methodologies.
• Model and transform data from multiple sources into a centralized data warehouse (Redshift).
• Create and maintain ETL/ELT processes to ensure data accuracy and integrity. Partner with analytics and business teams to deliver meaningful data visualizations and reports using tools like Tableau.

Qualifications

• Proven experience (3+ years) in data engineering, software development, or a related field. Hands-on expertise with cloud platforms, especially AWS and Amazon Redshift.
• Proficiency in programming languages such as Python or Java, and working with SQL/NoSQL databases.
• Experience with data visualization tools like Tableau or Power BI.
• Strong understanding of data modeling, architecture, and engineering principles.
• Familiarity with Agile methodologies and DevOps practices.
• Ability to work independently and solve complex technical challenges. Effective communication and collaboration skills, with the ability to engage diverse stakeholders.

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 Pattern

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

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