Data Engineer

The Data engineer role will have a specific focus on data and integration, ensuring that they drive a single version of the truth by developing and maintaining reliable solutions to store and manage key data. The role will source, model, and provide data in a form which is ready for report/dashboard building. They support the data team and participate in the design, development, and maintenance activities for LCCCs databases and data warehouse, as well as ensure following the defined data systems standards that conform to the data architecture. They will also build and maintain key data governance and management artefacts., * Participate in designing, developing and maintaining activities for LCCC DataWarehouse ensuring reliable data across the organisation

• Source, model and provide reliable data in a form that is ready for report/dashboard building
• Follow the data governance standards
• Build and maintain key data governance and management artefacts e.g., Flow Diagram, Data Dictionary.
• Identify patterns, anomalies, and structure of data in preparation for Extract Load and Transformation.
• Perform data validation, quality checks, and reconciliation across source and target systems.
• Define the low-level design of a data warehouse to ensure robustness e.g., restorability, traceability, ease to support, etc.
• Help design and maintain the modern DataWarehouse architecture, implementation, administration, and support

• Considerable experience in developing data structures using highly scalable database systems
• Experience developing, maintaining, and supporting data pipelines and data engineering solutions using Python (preferably PySpark) and SQL.
• Experience optimising SQL queries, Python code, and data processing workloads to improve performance, scalability, and reliability.
• Experience with Azure and/or AWS and/or GCP
• Able to work with large datasets and extrapolate conclusions
• Strong analytical and critical thinking abilities
• Experience working with stakeholders to gather business requirements and translate them into effective data engineering solutions.

Highly desirable:

• Experience building and maintaining reliable, scalable ETL/ELT solutions on big data platforms and working with a variety of data infrastructure technologies.
• Data Engineering experience within the Microsoft technology stack (e.g. Azure Data Factory, Synapse, Databricks, ADLS)

WFH policy: Employees are required to attend the office 2 days/week Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight. Reports to: Data Engineering Manager Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications.