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Data engineer

Cirencester
St. James's Place
Data engineer
Posted: 7 January
Offer description

1. Helping design and implement scalable and efficient data pipelines as per requirements, ensuring robust ETL/ELT processes, enabling SJP to move from multiple sources to a centralised platform.
2. Assisting in writing and optimising SQL queries and scripts to process data.
3. Supporting the integration of data from different systems, ensuring that it is structured correctly for analysis.
4. Maintaining data workflows and ensuring data is ingested and processed without errors and assisting in updating and maintaining existing data systems to help keep them current and efficient.
5. tying connected with the latest data engineering technologies and trends, including cloud-based data platforms, data lakes, and real-time data processing.
6. Continuously improving technical skills by learning new data engineering tools and techniques.
7. Help monitor data pipelines to ensure they are running smoothly and troubleshoot minor issues as they arise.
8. Help with identifying and resolving data issues, including missing or inconsistent data.

Who we’re looking for:

We are looking for a passionate data professional who is keen to learn and develop their skills and learn from those around them. The successful candidate will have experience working in data engineering and/or data integration roles and will have exposure working with data tools including Snowflake, SQL, AWS and/or Azure.

Essential Criteria

9. Experience working in a data engineering and/or data integration role
10. Some knowledge and skills with data tools and technologies including Snowflake, SQL, AWS and/or Azure
11. Exposure working alongside PMS, BAs, Testers, Developers and to project lifecycle best practice.
12. Some skills in root cause analysis, troubleshooting and resolving performance issues/defects.

Desirable Criteria

13. Strong Snowflake development experience
14. Some stakeholder management and relationship building skills
15. Bachelor's degree or equivalent in Data Science, Computer Science, Mathematics or similar STEM subject.

Special Requirements:

16. Some business travel may be necessary

What's in it for you?

We reward youfor the work you do, whether that’s through our discretionary annual bonus scheme that reflects both personal and company performance, competitive annual leave allowance (28 days plus bank holidays, with the option to purchase an additional 5 days), or online rewards platform with a variety of discounts.
We also have benefits to support whatever stage of life you are in, including:

17. Competitive parental leave (26 weeks full pay)
18. Private medical insurance (optional taxable benefit)
19. 10% non-contributory pension (increasing with length of service)

Reasonable Adjustments
We're an equal opportunities employer and want to ensure our recruitment process is accessible and inclusive for all, if you require reasonable adjustment(s) at any stage please let us know by emailing us at
Research tells us that applicants (especially those from underrepresented groups) can be put off from applying for a role if they do not meet all the criteria or have been on an extended career-break. If you think you would be a good match for this role and can demonstrate some transferable experience please apply, regardless of whether you tick every box.

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