Data Engineering Lead
4 weeks ago
We're seeking a highly skilled Principal Data Engineer to lead our Core Engineering team in building out the Enterprise Data Platform (EDP). The EDP is a modern Data Lakehouse implementation on Azure Databricks, central to our data strategy and consisting of a core structured data warehouse area plus an attached data science/ML platform.
- Design and implement efficient ETL processes across the Data Lakehouse, ensuring seamless data movement with appropriate transformations. Define and publish data engineering and ETL standards for the data platform.
- Analyse and communicate complex data engineering problems to senior audiences. Work with both structured and unstructured data to support downstream business outcomes. Oversee data movement across platforms, including designing controls and technical checks for monitoring data pipelines.
- Collaborate with Databricks, Lakehouse, ETL, and data pipelines to drive innovation and efficiency.
- Experience with Azure Databricks, Azure Data Factory, and proficiency in SQL, Python, and PySpark.
- Knowledge of Azure data lake, ADLS Gen 2 storage, and Azure services.
- Extensive experience with Data Warehousing, ETL concepts, and data structure designs, including data pipelines and data marts (Inmon & Kimball approaches).
- A broad understanding of BI and analytics tools, such as PowerBI, and optimizing consumption against engineered data layers.
- Broad knowledge within wider and adjacent data domains, for example, ML/AI, Master Data Management (MDM), data analysis, and data modeling.
We're the UK's largest mutual life, pensions, and investment company, offering protection, long-term savings, and asset management products and services. We're proud to reward employees with great workplace benefits, including 28 days annual leave, an up to 14% employer matching pension scheme, and private medical insurance.
Inclusion, diversity, and belongingWe're committed to creating an inclusive and diverse work environment where everyone feels valued and respected. We believe that a diverse workforce is essential to driving innovation and success.
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Data Engineering Lead
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Data Engineering Lead
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Data Engineering Lead
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