They will do this by
• Supporting the development of data products and implement solutions that will have a positive impact on the union’s ability to achieve its strategic objectives.
• Deliver data that is accessible, reliable and ready for analysis.
• Building scalable pipelines to support the development of datasets and models
• Collaborating with colleagues in other relevant parts of the union including, policy, research, organising, campaign, communications and bargaining to support clever and effective use of data
We are seeking applicants with
• Strong understanding of data warehousing, lakehouses and analytical data architectures.
• Expertise in SQL, Python and data modelling techniques
• Experience with Azure Data Factory, Microsoft Fabric and/or Azure Data Services.
• Proficiency in data transformation and orchestration technologies.
• Experience working with structured, semi-structured and large-volume datasets.
• Knowledge of data governance, security and data quality practices
They will demonstrate
• Proficiency in data manipulation using SQL, Spark, pandas, or similar.
• Proficiency in building secure and compliant data pipelines in Microsoft Azure environments
• Experience within data warehousing, ETL, processing, querying, and management.
• Ability to write code with a focus on testability
• Experience building data models in business intelligence tools and collaborating on the design of visualisation layers.
Prospective applicants are also advised that your normal place of work will be the NEU office specified in this advert and that the NEU operates ‘blended working arrangements’ for office-based staff, which means you will typically need to be based in the designated NEU office for three to four days a week (based on a full-time contract), with the remaining days based at home, and subject to business needs.
In addition to salary, we offer good conditions including 33 days’ annual leave plus Christmas closure days and a defined benefit pension scheme. Salary will be calculated pro-rata for part-time applicants.
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