Azure Data Engineer

Company Description BULL-IT SOLUTIONS LTD is a technology-focused company headquartered in Hurst, West Midlands, United Kingdom, with offices at 27 Hillbrow Crescent. The organization delivers IT and data solutions to a variety of clients, helping them modernize and optimize their technology environments. As a growing business, BULL-IT SOLUTIONS LTD values innovation, reliability, and practical problem-solving. Team members work closely with clients to design and implement solutions that support long-term operational efficiency and strategic decision-making. The company encourages continuous learning and professional development within a collaborative environment.
Role Description The Azure Data Engineer is a full-time remote role responsible for designing, building, and maintaining scalable data solutions on Microsoft Azure. In this position, the individual will develop and optimize data pipelines, implement Extract Transform Load (ETL) processes, and support data warehousing and analytics initiatives. Day-to-day tasks include modeling data structures, integrating multiple data sources, ensuring data quality, and monitoring performance and reliability of data platforms. The role involves collaborating with cross-functional teams to understand business requirements, translate them into technical designs, and deliver secure, compliant, and efficient data solutions. The Azure Data Engineer will also contribute to best practices, documentation, and continuous improvement of the company’s data engineering standards.
Qualifications
Candidates should possess strong Data Engineering skills, including experience with Azure data services and building end-to-end data solutions.
Candidates should possess Data Modeling and Data Warehousing skills to design efficient schemas and implement robust storage architectures.
Candidates should possess Extract Transform Load (ETL) and Data Integration skills to create, schedule, and optimize data pipelines from diverse sources.
Candidates should possess Data Analytics skills to support reporting, dashboards, and insights for business stakeholders.
Experience with Azure tools such as Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and related services is highly beneficial.
Proficiency in SQL and one or more programming or scripting languages commonly used in data engineering (e.g., Python) is preferred.
Strong problem-solving abilities, attention to detail, and the capacity to work independently in a remote environment are required.
A relevant degree or equivalent practical experience in Computer Science, Information Technology, Data Engineering, or a related field is advantageous.

Work arrangement
Yes