Data Engineer

The Role

As a Data Engineer at LI, you will play a key role in delivering scalable, high-quality data solutions that support critical business needs.

In this role, you’ll design and build new data services, lead migrations of existing solutions, and ensure the ongoing performance and enhancement of live data platforms. Working in a collaborative, agile environment, you’ll partner with cross-functional teams including Product Owners, Business Analysts, Developers, and Testers to deliver impactful data products.

You’ll work with a modern Azure data stack, including Databricks, Synapse, Data Factory, and Data Lake technologies, using tools like Azure DevOps to support end-to-end development and delivery.

Responsibilities

Your responsibilities will include

• Designing & Implementing Data Storage Solutions on Azure: Select Azure data storage services appropriately and design data storage schemas, ensuring they are optimised for specific use cases.
• Building and Maintaining Data Pipelines for Data Integration and Processing: Build and maintain data pipelines for data movement and process orchestration. Collect data from various sources, transform data into a practical format and load it into appropriate data storage solutions on Azure using tools such as Azure Data Factory and Azure Databricks. Ensure data pipelines are scalable and efficient.
• Ensuring Data Quality & Accuracy Through Testing & Validation: Test and verify data at different phases of the data pipeline, from extraction through to loading.
• Optimising Data Processing Performance Through Tuning & Monitoring: Ensure data processing is efficient and scalable by tuning the data pipeline and monitoring performance; identify and resolve bottlenecks in the data pipeline and optimise data processing algorithms.
• Developing & Maintaining Data Models & Schemas: Develop and maintain data models and schemas optimised for specific use cases. Select the appropriate data modelling techniques and ensure the data schema is scalable and efficient.
• Collaborating With Other Teams to Provide Data for Analytics & Reporting: Work closely with other teams to provide data they need to perform their job functions.
• Ensuring Data Security & Privacy Prerequisites Are Followed: Ensure that data streamed and processed on Azure confirms with applicable data security and privacy requirements such as the General Data Protection Regulation (GDPR).
• Working with Large Datasets & Performing Data Analysis: Work with large datasets of hundreds of millions and billions of rows of data and perform data analysis
• Staying updated on the latest Azure features, updates and best practices to ensure they are adopted effectively as appropriate

You may be required to undertake other duties assigned by your line manager as appropriate