Senior Data Engineer | Dayshift | Remote

We are seeking an experienced Senior Data Engineer to design, build, and scale modern cloud-based data platforms that enable trusted analytics, operational reporting, and data driven decision making across the organisation.

Requirements

• 5+ years of experience in Data Engineering, Analytics Engineering, or related data platform roles.
• Experience designing and supporting multi-region and enterprise-scale data platform architectures.
• Strong experience driving performance optimisation and cloud cost efficiency initiatives across large-scale data workloads.
• Strong understanding of platform reliability, operational maturity, resilience, and production support practices.
• Experience implementing advanced governance, security, access control, and data protection models within enterprise data platforms.
• Strong capability in developing architectural standards, engineering documentation, and scalable platform design patterns.
• Strong hands-on expertise with Snowflake in enterprise-scale environments.
• Advanced SQL skills with experience optimising complex analytical queries and data transformations.
• Strong experience building and maintaining modern ELT/ETL pipelines and orchestration workflows.
• Strong understanding of modern data warehousing concepts, dimensional modelling, and scalable data architecture.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Experience with data transformation and orchestration tools such as dbt, Airflow, Fivetran, Matillion, or equivalent platforms.
• Experience integrating structured and semi-structured data sources.
• Strong understanding of data governance, security, and access management principles.
• Proven ability to manage large and complex datasets in production environments.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Excellent communication and stakeholder engagement skills.
• Ability to work effectively in fast-paced, agile, and collaborative environments.