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2 weeks ago
We are seeking a skilled Data Engineering leader to drive the delivery of our cloud-based data platforms and analytics services.
About The RoleAs a key member of our high-performing data and analytics team, you will be responsible for designing, developing, and testing ETL/ELT pipelines using Azure Data Factory, Databricks, and related tools.
Main Responsibilities:- Design, develop, and test ETL/ELT pipelines using Azure Data Factory, Databricks, and related tools.
- Build and optimize data storage solutions (e.g. Azure SQL, Data Lake, Delta/Parquet).
- Enable advanced analytics use cases across large and complex datasets.
- Support operational decision-making through reliable, high-quality data pipelines.
- Lead and mentor other engineers, including code reviews and feedback on best practices.
- Collaborate with analysts, architects, and SMEs to align delivery to business needs.
- Contribute to data governance uplift and capability maturity across the section.
- A minimum of 5 years of experience in data engineering, ideally with leadership or mentoring exposure.
- Strong experience designing and building ETL/ELT solutions in cloud environments (Azure preferred).
- Experience with distributed computing engines (e.g. Spark, Databricks) and data modeling for performance.
- Hands-on experience across tools such as Azure Data Factory, SQL Server, Data Lake Storage, Visual Studio, and DevOps.
- Deep understanding of cloud-based data services, including ingestion, transformation, storage, and analytics.
- Excellent communication and stakeholder engagement skills.
- Must hold (or be eligible to obtain) Baseline security clearance.
Please note that we offer excellent opportunities for growth and development in this role.
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