Permanent
Full time (34.5 hours)
Home-based / Split between home and our London Office
£51,500 - £56,500
Help shape the future of data in Macmillan! Join our expanding Engineering team at Macmillan and help us deliver better services to support people living with cancer.
We're expanding our engineering function to form a new data engineering team.
Within this role, you'll solve the challenge of distributed data in Macmillan in a large-scale data transformation programme to give us a single source of truth.
You will help us create a Data Lake, build data pipelines to help extract data from various sources within the Macmillan tech stack and transform and maintain the data. You will assist with integration, consolidation, data cleansing and data structuring for use in analytics applications.
You will have the following:
- Strong SQL skills.
- Experience with data warehouses, data lakes and tools.
- Hands-on experience with Microsoft Azure services relating to a data platform e.g. Azure Data Factory, Azure Synapse Analytics
- Strong analytic skills related to working with unstructured datasets.
- Knowledge a programming language (e.g. C#, Java, Python) is a bonus.
- Understanding of dimensional modelling (e.g.Kimball)
In return, we offer
- 25 days holiday plus flexible bank holiday options
- Pension matched up to 7.5%
- Private medical insurance, including a Virtual GP Service
- Learning and development time, including access to external professional qualifications
- Flexible working patterns, such as compressed hours and flexibility to work earlier or later around our core working hours of 10am-4pm
- Discounted gym membership, free wills, social team events and much more
Our values are at the heart of who we are and everything we do, inspiring our thinking and guiding our actions. We strive to build a more diverse organisation, where everyone feels empowered to be their best self to work.
We are striving to do everything we can to ensure that our workforce is representative of the people we support, and those who support us. We advocate for being an inclusive organisation, where everyone can feel that they belong and where there are no barriers to success.
Recruitment Process.
Application deadline is Sunday 11th June at 23:59.
In order to ensure fairness and consistency to select the best candidate for this role, all of our applications are anonymised up until an interview has been confirmed so that shortlisting is based solely upon the suitability of the candidate’s experience.