9 of 9 Remote ETL Jobs in the North East

staff. Required Skills & Qualifications: Experience designing cloud data platforms in Azure/AWS or significant on-premise design experience. 5+ years in data engineering or business intelligence roles. Extensive ETL and data pipeline design experience, technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding of data warehouse and data lake More ❯

on all the following and more. Produce reports and analysis summarising the performance of offices, branches and regions. Analyse individual business data and make recommendations to improve performance. Creating ETL solutions to capture data from multiple sources and map/structure into either QVD files or SQL databases depending on the solution required. Optimize SQL server queries to efficiently and More ❯

with the opportunity to work two days per week from home. Key Requirements: C#, .NET Core Experience of the entire software development lifecycle. Agile/Scrum JavaScript SQL Server, ETL processes, System integrations API Development Azure - Beneficial Strong communication skills. Package: Life assurance, pension contributions, Healthcare and wellbeing, Retail Discounts, Cycle 2 Work and many more. Clear development plan. The More ❯

get in touch to discuss the salary bracket for this role. Key Requirements: C#, .NET Core Experience of the entire software development lifecycle. Agile/Scrum JavaScript SQL Server, ETL processes, System integrations API Development Azure - Beneficial Strong communication skills. Package: Life assurance, pension contributions, Healthcare and wellbeing, Retail Discounts, Cycle 2 Work and many more. Clear development plan. The More ❯

with the opportunity to work two days per week from home. Key Requirements: C#, .NET Core Experience of the entire software development lifecycle. Agile/Scrum JavaScript SQL Server, ETL processes, System integrations API Development Azure - Beneficial Strong communication skills. Package: Life assurance, pension contributions, Healthcare and wellbeing, Retail Discounts, Cycle 2 Work and many more. Clear development plan. The More ❯

get in touch to discuss the salary bracket for this role. Key Requirements: C#, .NET Core Experience of the entire software development lifecycle. Agile/Scrum JavaScript SQL Server, ETL processes, System integrations API Development Azure - Beneficial Strong communication skills. Package: Life assurance, pension contributions, Healthcare and wellbeing, Retail Discounts, Cycle 2 Work and many more. Clear development plan. The More ❯

Management Pre-Sales and Solution Design Key Requirements: Application Support/Consultancy Proven product and software implementation skills Knowledge of Supply Chain processes Understanding of data structures, databases, and ETL processes. SQL Server, Excel Strong analytical skills. Excellent presentation skills and the ability to train users on systems Excellent communication and documentation skills. Package: Life assurance, pension contributions, Healthcare and More ❯

Management Pre-Sales and Solution Design Key Requirements: Application Support/Consultancy Proven product and software implementation skills Knowledge of Supply Chain processes Understanding of data structures, databases, and ETL processes. SQL Server, Excel Strong analytical skills. Excellent presentation skills and the ability to train users on systems Excellent communication and documentation skills. Package: Life assurance, pension contributions, Healthcare and More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯