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Cloud Data Solutions Specialist
3 weeks ago
We are seeking an experienced Data Engineer to join our team in designing, implementing, and managing secure and scalable data solutions.
Job Description:The successful candidate will be responsible for architecting, developing, and maintaining robust data pipelines and ETL/ELT processes for our new cloud data platform. This involves collecting, processing, and storing data from multiple sources while ensuring data quality, reliability, and performance.
Key responsibilities include:
- Design & Build: Architect, develop, and maintain scalable and robust data pipelines and ETL/ELT processes for our new cloud data platform.
- Drive the Migration: Play a key role in the strategic planning and hands-on execution of migrating data from on-premises sources (SQL Server and a number of source systems) to the cloud Snowflake with a Fabric front end.
- Optimise Performance: Monitor, troubleshoot, and optimise data pipelines to ensure data quality, reliability, and performance.
- Collaborate & Innovate: Work closely with technology and business stakeholders to understand their needs and deliver high-quality data solutions.
- Ensure Best Practices: Implement and advocate for data engineering best practices in data modelling, data governance, and security.
- Document & Report: Create and maintain comprehensive documentation for data pipelines, system architecture, and processes. Generate reports on data quality, pipeline performance, and migration status to ensure transparency and support project governance.
To be considered for this role, you must have:
- Bachelor's degree in computer science, Data Engineering, Information Technology, or related field (or equivalent experience).
- Proven experience as a Data Engineer with a strong focus on cloud data solutions.
- Hands-on experience with Snowflake or Microsoft Fabric is essential.
- Demonstrated success in migrating data from on-premises databases to a cloud data warehouse.
- Proficiency in Power BI, SQL and a scripting language like Python.
- Solid understanding of ETL/ELT principles and experience with data integration tools.
- Familiarity with major cloud platforms such as Azure, AWS, or GCP.
- Knowledge of data governance, data security, and compliance best practices.
- Strong understanding of cloud cost management (FinOps) to ensure that our data solutions remain both scalable and cost-efficient.
We offer a flexible work environment, a diverse workplace with a passion for encouraging and supporting inclusiveness, wellbeing programs, continuous learning and professional development, and an easy-to-use Staff Recognition Program.
