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Senior Data Engineer I

LexisNexis

Durban

On-site

ZAR 1,072,000 - 1,550,000

Full time

3 days ago
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Job summary

A global information services provider seeks a Senior Data Engineer to design and maintain scalable data solutions. The ideal candidate should have over 3 years of experience, particularly with AWS and data visualization tools like Tableau. This role offers flexible working hours and various wellbeing initiatives supporting work/life balance.

Benefits

Flexible working hours
Wellbeing initiatives
Study assistance
Shared parental leave
Sabbaticals

Qualifications

  • 3+ years of experience in data engineering or software development.
  • Hands-on expertise with cloud platforms, especially AWS and Amazon Redshift.
  • Effective communication and collaboration skills.

Responsibilities

  • Design, build, and maintain scalable data pipelines and architectures.
  • Lead the migration from legacy BI to modern platforms.
  • Create and maintain ETL/ELT processes for data accuracy.

Skills

Data engineering
Cloud platforms (AWS, Redshift)
Python or Java programming
SQL/NoSQL databases
Data visualization (Tableau, Power BI)
Data modeling
Agile methodologies
DevOps practices

Tools

Tableau
AWS
Amazon Redshift
Databricks

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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