Senior AWS Data Engineer

About the Company

We are a leading global data-driven consulting firm specialising in turning complex business challenges into actionable insights through advanced data engineering, analytics, and intelligent technology solutions. With offices in South Africa, the UK, and Australia, we partner with major clients across industries such as mining, finance, retail, telecommunications, and logistics.

We’re known for applying mathematical and scientific rigour to solve real-world business problems, with a strong focus on pricing strategy, customer segmentation, operational efficiency, forecasting, and capital optimisation. Our project teams work end-to-end—from consolidating and structuring raw data to deploying custom-built tools, AI models, and simulations that support strategic decision-making.

This is an exciting opportunity for data professionals to contribute to meaningful, high-impact projects in a dynamic, collaborative environment, with exposure to cutting-edge technologies and global best practices.

Our core capabilities span the disciplines of Data Science, Data Engineering, and Software Engineering.

Role Overview

You’ll work as part of a collaborative team solving complex problems to deliver real business value across a range of industries, including mining, telecommunications, retail, and financial services. In addition, you’ll contribute to the development of best practices and help drive continuous improvement in data engineering across the organisation.

Core Responsibilities

• Translate business requirements into clear technical specifications, effectively communicating complex concepts to both technical and non-technical stakeholders.
• Design and architect enterprise-scale data engineering solutions that address complex business needs across diverse client environments.
• Develop, optimise, and maintain scalable data pipelines that ingest, cleanse, and transform data from multiple structured and unstructured sources.
• Proactively identify opportunities to improve data quality, pipeline performance, and system reliability, and implement enhancements accordingly.
• Oversee the technical delivery of data engineering projects, managing scope, timelines, risks, and stakeholder engagement.
• Mentor and support junior data engineers, fostering knowledge sharing and contributing to the team’s overall capability development.

Minimum Requirements

• Graduate or Postgraduate degree in Computer Science, Information Technology, Statistics, Engineering or related technical field.
• 8+ years of data engineering experience with extensive SQL and Python experience
• Solid understanding of Apache Spark as a distributed data processing framework
• Experience in data architecture including data warehouse design, data lake implementation and a medallion architecture
• Experience in designing building and optimising data pipelines for large and complex datasets
• CI/CD experience with Azure DevOps or AWS-native CI/CD services such as CodePipeline and CodeBuild.  Git, and infrastructure-as-code tools (Terraform, AWS CloudFormation, or AWS CDK).
• Experience with AWS cloud data platform technologies, including:
  • Amazon Redshift
  • AWS Glue
  • Amazon Athena
  • AWS Step Functions
  • AWS Lambda
  • AWS CloudWatch
  • Amazon EMR
  • AWS Lake Formation
• Experience with the following technologies would be beneficial
  • dbt (data build tool)
  • Snowflake data warehousing
  • Streaming technologies such as Kinesis, Spark streaming or Kafka
• A relevant data engineering certification would be beneficial

Behavioural Competencies

• Problem Solver:
  Identifies challenges and opportunities, applying critical thinking to develop innovative and practical solutions.

• Client-Focused:
  Strives to understand client needs and build strong, collaborative working relationships.

• Proactive:
  Takes initiative, communicates effectively with stakeholders, and follows through to achieve objectives.

• Resilient:
  Remains composed and effective under pressure, ambiguity, or opposition.

• Team-Oriented:
  Thrives in collaborative environments and contributes to an inclusive, team-based culture.

• Quality-Driven:
  Committed to delivering high-quality, reliable solutions with attention to detail.

• Strong Communicator:
  Possesses excellent verbal and written communication skills; able to convey complex technical concepts clearly to both technical and non-technical audiences.

Apply Now

Ready to shape the next generation of virtual gaming platforms and work alongside a team of global tech trailblazers?

Send your CV to charne@skillzpage.com

Use the subject line: "Senior AWS Data Engineer  – Hybrid"

(If you don’t hear from us within two weeks, please consider your application unsuccessful.)