4 of 4 Remote Azure Data Engineer Jobs in Yorkshire

Join to apply for the Data Engineer - Python & Azure role at TieTalent About the Role Data Engineer - Python & Azure Contract type: Permanent Hours: 37.5 Salary: Circa £61,000, depending on experience Location: Leeds or Birmingham WFH policy: Employees are required to attend the office 2 days/week … travel to the London office once a month (expenses paid) Flexible working: Various flexible work patterns, e.g., compressed 9-day fortnight, subject to line manager approval Reports to: Data Engineer Manager Role Summary As a Data Engineer, you will manage LCCC’s data ecosystems, collaborating with developers, solution architects, BAs … analysts, data scientists, and SMEs to optimize the data platform. Your focus will be on building ETL/ELT pipelines for data ingestion, processing, and storage, ensuring data integrity and quality throughout the lifecycle. Special emphasis will be on developing inputs for the internal forecasting model of GB power markets, designing scalable More ❯

Senior Azure Data Engineer Remote Working - UK Home-based with occasional travel into the office £39,784 - £49,477 (National) £45,456- £55,149 (London within the M25) Additional allowance for exceptional candidates - Max Salary - £62,000 (National) and £67,000 (London within the M25) Homeworking allowance of £581 per annum Job Ref: J12964 … A Senior Azure Data Engineer is required to design, build, test and maintain data on the enterprise data platform, allowing accessibility of the data that meets business and end user needs. The successful individual will be responsible for maximising the automations, scalability, reliability and security of data … re-use, adaptation and efficient engineering. Additionally you will support the team but knowledge sharing and mentoring more junior members of the team. Accountabilities: Design, build and test data pipelines and services, based on feeds from multiple systems using a range of different storage technologies and/or access methods provided by the Enterprise Data Platform More ❯

Additional allowance for exceptional candidates - Max Salary - £62,000 (National) and £67,000 (London within the M25) Homeworking allowance of £581 per annum Job Ref: J12964 A Senior Azure Data Engineer is required to design, build, test and maintain data on the enterprise data platform, allowing accessibility of the data that meets business and end user needs. The successful individual will be responsible for maximising the automations, scalability, reliability and security of data services, focusing on opportunities for re-use, adaptation and efficient engineering. Additionally you will support the team but knowledge sharing and mentoring more junior members of the team. Accountabilities: Design, build and test … data pipelines and services, based on feeds from multiple systems using a range of different storage technologies and/or access methods provided by the Enterprise Data Platform, with a focus on creating repeatable and reusable components and products. Design, write and iterate code from prototype to production ready. Understand security, accessibility and version control. Use More ❯

Consultancy I introduce talented IT Professionals to exciting contract opportunities within Banking & Financial Services Location: Hybrid (3 days/week from Sheffield) We are looking for a Senior Data Engineer with hands-on expertise in SQL/BigQuery migration , Azure Databricks , and Spark SQL , who also brings team leadership experience and thrives in Agile …/SAFe/Scrum environments. Key Responsibilities: Lead and contribute to a small Agile team working on a cross-cloud data migration project. Migrate complex BigQuery SQL transformations to Spark SQL on Azure. Build & execute ETL workflows using Azure Databricks and Python. Drive automation of SQL workflows and artefact migration across cloud providers. Collaborate with developers … POs, and stakeholders on quality delivery and performance optimization. Key Requirements: Strong SQL skills (BigQuery SQL & Spark SQL), Python, and ETL pipeline development. Experience with Azure and cloud data tools. Familiarity with CI/CD practices and automation. Proven team leadership and organisational capabilities. Comfortable with Agile/SAFe/PI Planning methodologies. Seniority level Seniority More ❯