8 of 8 Permanent ETL Jobs in Avon

Oversee logical and physical data modelling for Finance and Enterprise data products, working closely with architecture where required. Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake). Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform ...

and optimisation At least one data engineering programming language (e.g., Python) Data modelling (dimensional, star schema, analytics-optimised models) Building and maintaining production-grade ETL/ELT pipelines Orchestration and scheduling tools Version control (e.g., Git) CI/CD principles for data workloads Environment separation (Dev/Test/Prod ...

governance disciplines (data quality, metadata management, lineage, cataloguing). Strong expertise in data modelling (conceptual, logical, physical) and data architecture design, data integration approaches (ETL/ELT pipelines, APIs, streaming, event-driven architectures), and database technologies (relational, NoSQL, cloud-native data platforms) and data storage architectures. Standards & Frameworks: Strong understanding ...

contracts for data arriving from the landing zone into the Bronze layer, working in partnership with the Development and Application Management team.Design and optimise ETL/ELT pipeline frameworks using Databricks, Delta Lake and Azure Data Factory. * Ensure Silver and Gold layer data products are fit for purpose for analytics … ensuring compliance with industry standards. Deep expertise in data modelling - conceptual, logical and physical. Data warehousing and data lake architecture for high-performance analytics. ETL/ELT pipeline development and optimisation to support large-scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and ...

standards, mentoring developers and ensuring that data solutions are scalable, reliable and aligned with enterprise data governance practices. Responsibilities Design, build and maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments Develop and optimise data ingestion/transformation workflows Develop Python and PySpark processes for data transformation … Hands-on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines Experience developing Python or PySpark solutions for large-scale data processing Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture Experience developing Power BI datasets, semantic models and reports What's on Offer Salary ...

and growing data and AI services. Responsibilities include but not limited to: The set up of data platforms, including data warehouses, lakehouses, databases and ETL tools. Extract, transform & load data from a variety of databases and systems Combine, cleanse and run ‘health checks' on the data Transfer and store data … prepared to complete a SC process Data Engineering experience Significant experience working with large datasets and multiple data feeds Confident in data ELT/ETL, data cleansing, modelling and data visualisation Experienced working with Azure and the Microsoft stack Confident developer of Python and SQL solutions Significant experience with data ...

Responsibilities: Take ownership of the SQL Server estate across a complex operational environment. Lead SQL upgrades, standardisation, and estate simplification . Build and maintain ETL pipelines and improve how data is collected, transformed, and made usable. Support database migration, integration, and data modelling work across legacy and modern systems. Improve … Experience in a Database Engineer, SQL Engineer, or Data Engineer role. Strong SQL Server skills covering administration, optimisation, and performance tuning. Solid experience with ETL, data pipelines, integration, and large datasets . Good understanding of database migration, data warehousing, and data modelling . Exposure to Azure or modern data platforms ...

ensuring performance, reliability, and security. Drive the modernisation of data processes, storage, and reporting capabilities. Streamline data collection, transformation, and governance. Build and maintain ETL pipelines to support analytics and reporting. Work with ops, commercial, and engineering teams to understand data needs and opportunities. Support future data projects including stock … system consolidation and improved analytics. Technical strengths ideally include: Strong SQL Server expertise (administration, performance, optimisation). ETL pipeline development and data modelling experience. Understanding of database migration and integration. Familiarity with cloud concepts (Azure, Fabric, Snowflake etc.) - nice to have, but not essential . Experience improving environments that ...