Data Engineer

We have a fantastic opportunity for a Data Engineer to join Royal London’s Analytics Engineering Team within our Group Data & AI Office function. As a Data Engineer you will define, manage, and deliver the data, tools and other technical assets to enable analytics, data science, and machine learning projects. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation.

Requirements

• Source and prepare data for use in Business Intelligence (BI), Analytics and Data Science projects and initiatives.
• Source, evaluate, interpret, and manage multiple disparate data sources.
• Design and develop data pipelines, from both the on-premises and cloud platforms.
• Maintain knowledge of data engineering and machine learning engineering practices including keeping abreast of new developments and changes in the field.
• Maintain knowledge of data related technologies and practices.
• Help to ensure that robust software engineering practices are adhered to by the team.
• Experience in data engineering and application of data management design patterns, such as data lakes and data warehouses.
• Experience of programming languages: SQL, Python & pySpark etc. or equivalents.
• Experience of development practices: the use of versioning tools such as GitHub, work tracking tools such as Azure DevOps, or equivalents.
• Experience of cloud-based Data and Analytics technologies, including a minimum of one of: Databricks, Snowflake, Azure Data Factory / Fabric.
• A proven track record in working in cross-functional projects to a successful conclusion.
• Experience of managing stakeholders.
• A broad understanding of BI and analytics tools, such as PowerBI, Tableau & R.
• Good understanding of Microsoft SQL Server technologies, such as T-SQL and SSIS.
• Knowledge of the technology side of Analytics and Data Science, including principles of software engineering.

Benefits

• 28 days annual leave in addition to bank holidays
• up to 14% employer matching pension scheme
• private medical insurance