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An established industry player is looking for a Lead Software Engineer specializing in Azure Data to join their innovative team. This role is pivotal in designing and maintaining efficient ETL/ELT data pipelines, utilizing Azure Data Factory and Databricks to enhance data processing workflows. You will collaborate closely with data architects and business stakeholders to implement robust data lake and warehouse solutions, ensuring data quality and governance. If you are passionate about leveraging technology to drive business success and enjoy working in a supportive and inclusive environment, this opportunity is perfect for you.
Job Title: Lead Software Engineer (Azure Data)
Contract Type: Permanent
Working style: Hybrid 50% home/office based
We are seeking a highly skilled and experienced Lead Software Engineer (Azure Data) to join our dynamic team at Royal London. In this role, you will play a crucial role in providing deep technical expertise to help our teams design, develop, test, implement and support efficient solutions that meet business and customer requirements.
The successful candidate will have a real impact on how Royal London develops and supports our applications and will provide a blend of both solid leadership experience and technical expertise.
This role is focused within the Engagement Services platform with a focus on Azure Data and contributes to our purpose of strengthening the mutual choice for our customers, by providing the best technology solutions to our customers.
About the role
Design, develop, and maintain ETL/ELT data pipelines using Azure Data Factory (ADF) for automating data ingestion, transformation, and orchestration from diverse data sources.
Build scalable data integration processes to bring in data from on-premises, cloud, and external APIs into Azure Data Lake Storage (ADLS).
Utilize Azure Data Factory/ Databricks (PySpark/Scala) to build scalable data processing and transformation workflows for both batch and streaming data.
Develop data models and implement data partitioning, indexing, and schema optimization to improve query performance in Azure Synapse Analytics.
Collaborate with data architects and business stakeholders to design and implement data lake and data warehouse architectures on Azure.
Create and optimize data models (star and snowflake schemas) for business intelligence (BI) and analytics workloads, ensuring high performance and scalability.
Implement data governance practices to ensure data accuracy, completeness, and integrity across the Azure environment.
Develop and enforce data quality checks and validation rules to maintain high levels of data consistency using Azure Data Factory and Databricks.
About you
About Royal London
We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services.
Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.
We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance.
Inclusion, diversity and belonging
We’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.