Data Engineering Lead

Old Mutual Limited

Data Engineering Lead designing, building, and maintaining scalable data platforms at Old Mutual. Collaborates across teams to enhance data architecture and ensure data quality in cloud-based environments.

Posted 6/19/2026full-timeJohannesburg • 🇿🇦 South AfricaSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudMS SQL ServerPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Design and implement cloud‑based data architecture components that align with enterprise architecture guidelines and business requirements
Contribute to the evolution of data architecture by improving existing patterns, pipelines, and platform components
Support “as‑is” and “to‑be” architecture documentation for data platforms and integrations
Design, build, and maintain robust data pipelines in cloud data platforms such as Snowflake or Databricks
Develop and optimize SQL‑based data transformations to deliver curated, analytics‑ready datasets
Ensure data pipelines are reliable, performant, and maintainable through effective error handling, monitoring, and logging
Build and maintain data solutions on the cloud, preferably AWS
Provision and manage data infrastructure using Infrastructure as Code tools such as CloudFormation or Terraform
Design and support business‑critical storage and compute environments following industry best practices
Manage complex technical issues related to data platforms and pipelines
Develop and enhance data applications and services by analyzing requirements and implementing effective solutions
Build and maintain APIs using Python to support data access, ingestion, and integration with other systems
Contribute to continuous improvement of data software through refactoring and performance optimization
Work hands‑on with relational databases , including PostgreSQL and Microsoft SQL Server
Design and maintain logical and physical data models that support analytics, reporting, and operational workloads
Install, configure, and test complex database environments to ensure they meet functional and performance requirements
Manage key components of the data management system, including data quality, consistency, and integrity
Apply organizational data standards, governance practices, and compliance requirements in day‑to‑day development
Elicit and analyze complex business and technical requirements through workshops, document analysis, and stakeholder discussions
Translate business needs into practical, scalable data engineering solutions
Collaborate closely with analysts, data scientists, and software engineers to deliver end‑to‑end data solutions
Support information security practices by identifying and helping remediate vulnerabilities and data‑related risks
Ensure delivered solutions comply with organizational policies, procedures, and relevant regulatory requirements
Create and maintain high‑quality technical documentation for data pipelines, platforms, and integrations
Share knowledge and best practices within the team through documentation and peer collaboration

Requirements

What you’ll need

Degree in Computer Science, Information Technology, or a related field
7+ years of experience in data engineering with a focus on complex data solutions
Proven experience building and supporting cloud‑based data architecture , preferably on AWS
Hands‑on experience with Infrastructure as Code tools such as CloudFormation or Terraform
Strong experience developing data pipelines in Snowflake, Databricks , or similar cloud data platforms
Strong SQL skills for data transformation, optimization, and analysis
Experience developing APIs using Python.
Solid hands‑on experience with PostgreSQL and Microsoft SQL Server
Strong understanding of data modelling principles and practical application
Experience working with large, complex datasets in production environments
Ability to clearly communicate technical concepts and collaborate across teams

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

cloud-based data architecturedata pipelinesSQLdata transformationsAPIsdata modelingdata qualitydata governancedata integrationdata applications

Soft Skills

communicationcollaborationproblem-solvingstakeholder analysisdocumentationcontinuous improvementorganizational skillstechnical analysisvulnerability remediationteam knowledge sharing

Certifications

degree in Computer Sciencedegree in Information Technology