
High-Performance Data Solutions Specialist
19 hours ago
About the Role
We are seeking a talented Data Engineer to support data delivery and infrastructure across our organisation.
Key Responsibilities:
- Designing and maintaining robust data ingestion pipelines
- Managing secure and efficient data transfers into our systems
- Ensuring timely and accurate delivery of data to support core business functions
- Providing ongoing support for data infrastructure, including cloud platforms, data lakes, data marts, and dashboards
- Monitoring data platform performance and recommending infrastructure enhancements to maintain optimal benchmarks
- Designing and implementing ETL pipelines using CI/CD methodologies
- Contributing to the development and deployment of solution designs and big data platform strategies across all environments
- Communicating technical updates and project priorities to leadership
- Investigating and resolving data-related incidents promptly
About You
The ideal candidate for this role is a motivated and technically capable Data Engineer who is eager to grow and contribute to our evolving data landscape. You'll bring hands-on experience with data pipelines, cloud platforms and ETL processes, along with a solid understanding of data infrastructure and performance monitoring.
Requirements:
- Tertiary qualifications in a quantitative discipline such as Statistics, Mathematics, Information Technology, Mechatronic or a related field
- Significant experience in data management across cloud platforms, data lakes, warehousing, analytics, and business intelligence
- Proficient with BI and analytics tools such as Databricks, SQL Server, Power BI, R, and Python
- Solid understanding of data warehousing, big data architecture, data streaming, and virtualisation
- Hands-on experience with cloud platforms like AWS, Azure, or GCP
- Strong development skills in Python and SQL
- Experience working within Agile delivery environments
- Strong analytical and problem-solving skills, with the ability to resolve complex stakeholder queries
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