10 of 10 Permanent ETL Jobs in Lancashire

in the business Programming experience in Python Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytics tools Skills and experience we’d love you to have... But if not? We’ll help you get there More ❯

Spoke architecture patterns. Experience and detailed understanding of AWS and/or Azure data provision through a loosely coupled cloud stack including Data Integration (ETL/ELT) eg Spark and/or Informatica, Data Quality, Data Catalogue, data storage to provide multi-cloud analytical and insight data for our critical More ❯

Spoke architecture patterns. Experience and detailed understanding of AWS and/or Azure data provision through a loosely coupled cloud stack including Data Integration (ETL/ELT) eg Spark and/or Informatica, Data Quality, Data Catalogue, data storage to provide multi-cloud analytical and insight data for our critical More ❯

Design: Architect and implement robust designs, ensuring optimal performance, scalability, and security Translate high-level solution designs into detailed technical specifications, including data models, ETL processes, and database schemas Establish and enforce data modelling best practices, promoting data integrity and consistency across all platforms ETL Development & Optimization: Develop and optimize … complex ETL pipelines for diverse data sources (on-premise and cloud-based), utilizing best practices for data extraction, transformation, and loading Implement data quality checks and validation processes within ETL pipelines, ensuring data accuracy and reliability Optimize ETL performance for speed and efficiency, addressing bottlenecks and improving data processing times … information to non-technical stakeholders, and ensuring alignment with business objectives The Person Essential: Minimum 5+ years of experience in designing and implementing data ETL processes and design Expert-level proficiency in T-SQL, SSIS, and the Microsoft data stack (SQL Server, Azure SQL Database) Proven proficiency in Azure Data More ❯

Design: Architect and implement robust designs, ensuring optimal performance, scalability, and security Translate high-level solution designs into detailed technical specifications, including data models, ETL processes, and database schemas Establish and enforce data modelling best practices, promoting data integrity and consistency across all platforms ETL Development & Optimization: Develop and optimize … complex ETL pipelines for diverse data sources (on-premise and cloud-based), utilizing best practices for data extraction, transformation, and loading Implement data quality checks and validation processes within ETL pipelines, ensuring data accuracy and reliability Optimize ETL performance for speed and efficiency, addressing bottlenecks and improving data processing times … information to non-technical stakeholders, and ensuring alignment with business objectives The Person Essential: Minimum 5+ years of experience in designing and implementing data ETL processes and design Expert-level proficiency in T-SQL, SSIS, and the Microsoft data stack (SQL Server, Azure SQL Database) Proven proficiency in Azure Data More ❯

Solid understanding of data modelling principles for analytics - including partitioning, denormalisation, and file formats (e.g., Parquet, ORC). Experience building and maintaining production-grade ETL pipelines with an emphasis on performance, quality, and maintainability. AWS certification desirable - Data Engineer or similar. More ❯

Solid understanding of data modelling principles for analytics - including partitioning, denormalisation, and file formats (e.g., Parquet, ORC). Experience building and maintaining production-grade ETL pipelines with an emphasis on performance, quality, and maintainability. AWS certification desirable - Data Engineer or similar. More ❯

skills, knowledge and experience will you need? A good understanding of modern data architectures e.g. Data Warehouses and Data Lakehouse, and an understanding of ETL/ELT processes. Experience of leading technical and non-technical stakeholder engagement to represent the user in all product and prioritisation decision making. Experience of More ❯

skills, knowledge and experience will you need? A good understanding of modern data architectures e.g. Data Warehouses and Data Lakehouse, and an understanding of ETL/ELT processes. Experience of leading technical and non-technical stakeholder engagement to represent the user in all product and prioritisation decision making. Experience of More ❯

team to ensure your solutions are observable, reliable and performant. Work with our software implementation consultants (SICs) to define and verify specification documents for ETL process. Work with customer IT to test customer data source endpoints to ensure they meet specification. Work with our Engineering teams to ensure end-to … be comfortable building transparent, easy-to-support pipelines. Experience building and maintaining data integrations with a variety of external systems. Good understanding of the ETL process. Comfortable being in a client-facing role. Excellent communication skills: you can clearly explain technical matters to any audience. Confident working with complex referential More ❯