Senior Data Platform Developer

1 month ago


Bristol, Bristol, United Kingdom Rockpool Digital Full time
About the Role
We're looking for a seasoned Data Engineer to join our team at Rockpool Digital. As a key member of our engineering team, you'll design, build, and maintain complex data systems using Azure technologies. You'll collaborate with stakeholders to understand business objectives and interpret them into data models, identify opportunities for data acquisition, usage, and insight generation, and create data reporting that enables data-driven decision making. Your responsibilities will also include building data systems and pipelines using development tools and ensuring that data solutions uphold data governance and/or compliance frameworks. With your expertise, you'll provide second-line technical support for existing data platforms. Additionally, you'll have the opportunity to work with a talented team of experts who share your passion for data engineering.

Key Responsibilities
Your key responsibilities will include:
  • Designing, building, and maintaining complex data systems using Azure technologies
  • Collaborating with stakeholders to understand business objectives and interpret them into data models
  • Identifying opportunities for data acquisition, usage, and insight generation
  • Creating data reporting that enables data-driven decision making
  • Building data systems and pipelines using development tools
  • Ensuring that data solutions uphold data governance and/or compliance frameworks
  • Providing second-line technical support for existing data platforms

Requirements
To be successful in this role, you should have extensive experience in database querying, analysis, and interrogation tools, as well as a proven track record in the architecture, construction, testing, and maintenance of entire data platforms. You should be skilled in transforming business challenges into data models utilizing SQL Server and familiar with ETL tools and concepts, including Azure Data Factory (plus experience supporting legacy SSIS tooling). Working knowledge and experience with Data Warehousing and Lakehouse principles are also essential. Furthermore, you should be proficient with workflow tools like Azure Logic Apps and strong capabilities in data visualization with tools such as Microsoft Fabric and Power BI. Experience in designing and implementing data solutions on the Azure platform is required, along with extensive background in CI/CD practices and demonstrated experience working with AI technologies, including the usage of Python and Azure Machine Learning. Additionally, you should have meticulous attention to detail coupled with strong problem-solving abilities and exceptional verbal, written, and interpersonal communication skills, along with strong presentation capabilities. Finally, experience in the software engineering and development lifecycle is necessary. Salary: £80,000 - £100,000 per annum

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