Data Engineer
Location: UK flexible location (Hybrid, home and office)
Salary: £39,541 to £45,000 per annum (plus ILW, if residing & working in London)
Hours: 35 per week, flexible
Contract: Permanent
Could you help us act upon the latest data and insights to design our services, partner and convene, raise income and advocate for change?
Could you implement the design to develop and deliver the databases, data processes, data products and services that make up the data platform?
Could you develop a variety of solutions from smaller proof of concepts through to production ready data systems with a focus on business benefit realisation?
What will a day in the life of a Data Engineer involve?
* Develop data pipelines and functionality using agreed standards with approved methods and tooling, and support our partners doing the same where development activities are outsourced.
* Apply frameworks and patterns to support and maintain software and services, ensuring they are well-managed, monitored, maintained up-to-date, secure, performant, and available to users, and are supported by operational runbook.
* Capture and analyse user stories so that the user- and business-needs are well-understood, and our services have meaningful impact.
* Design, develop, and maintain robust data pipelines to ensure the efficient flow of data across various systems and platforms.
* Implement data models and schemas to support analytical and reporting needs.
* Build and maintain data warehouses, ensuring data quality, integrity, and security.
To be a successful Data Engineer, what will you need?
* Good understanding of database technology with specific use when storing and manipulating large datasets. (hundreds of millions of transactions)
* Good understanding and knowledge of general ETL/ELT principles and best practice.
* Understand industry recognised standard data models with a specific emphasis on the Kimball Dimensional Modelling approach.
* Proven experience of interpreting business requirements, then creating and implementing technical solutions and data briefs as a result.
* Proven experience of managing projects effectively, using both waterfall and agile approaches.
* Experience developing data pipelines using Azure Databricks, dbt or snowflake (or similar tools) and coding in SQL and Python.
For complete job description and to apply, visit:
https://careers.redcross.org.uk/vacancies/12823/data-engineer.html
HOW TO APPLY:
HOW TO APPLY (https://www.redcross.org.uk/get-involved/jobs/how-to-apply)
https://careers.redcross.org.uk/vacancies/12823/data-engineer.html