Data Engineer - Temporary (up to 12 months)
Salary £49,492 to £58,226 (dependent on experience) Contract type Temporary: Fixed Term Contract or Secondment Hours Full Time Location Poole, Dorset, England Location description Hybrid between home and Poole Closing Date 29-09-2024 Reference 17971 Documents (please view all documents)
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About us
Our purpose is simple, to save lives at sea. For 200 years, the RNLI has been working to save those who are in danger of drowning. We are looking for a Data Engineer to join us for up to 12 months in supporting our lifesavers to fulfil this purpose.
The RNLI are embarking on an exciting journey to use data to drive the organisation and decisions both now and in the future. We’re looking for an excellent Data Engineer to be part of a fantastic team with Data driving our lifesaving activities, helping us understand and leverage the power of cloud-based data.
Our Data Engineers sit within our Data department with the aim of supporting the business and improving the way we manage, govern, and derive analysis from our data assets. The aim is to ensure we have the right data, and data systems, to create insight and evidence that will lead to fewer lives lost from drowning.
Some of the benefits
3. Salary of £49,492 to £58,226 (dependent on experience)
4. Flexible working
5. 26 days’ annual leave plus Bank Holidays
6. Outstanding pension scheme (contributions of up to 16% of basic salary)
7. Life assurance
8. Health and dental cash plan
Your Role
As Data Engineer, you will:
9. Be responsible for implementation and day-to-day management of a new Data Lakehouse with the latest technology
10. Use technology including Data Integration, Master Data, and Data Science/Analytics
11. Provide a best practice approach in use of the platform capabilities to integrate systems and master data sets
12. Work in partnership with Analysis teams in the provision of data and analysis output
About You
We are looking for candidates that are experienced in:
13. Data or Analytics type platforms (Data Management, Data Integration, Master Data, Data Migrations, data marts/warehouses)
14. Working with complex ETL routines and tools
15. T-SQL
16. Microsoft SQL Server
17. Databricks
18. Data modelling
19. Data wrangling
20. Working with a variety of data formats and protocols (JSON, XML, CSV, Parquet, structured and unstructured data)
21. Working with API’s would be beneficial
22. An understanding of the software development lifecycle and a familiarity working in an agile environment.
23. The use of source control and task management tools. Familiarity with GitHub is highly desirable.
This is a chance to join a team of experienced data professionals undertaking significant change at the RNLI, building the foundations for a top-class data management and analytical service.
If you have the experience we’re looking for and a desire to make a difference, please apply now!