Senior Azure Data Engineer - Nottingham, United Kingdom - Nigel Frank International

Tom O´Connor

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Tom O´Connor

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Senior Azure Data Engineer - Remote - FTC

I'm currently working with a client in the food retail industry.

They are a large, independent organisation that places a huge emphasis on ethical working and giving back to their community.

Established in the early 1800's, they are a very well-known company and put their customers and employees at the centre of everything they do.

**The role itself is a Senior Azure Data Engineer and it sits within their Data Engineering team.

You will be working on a variety of projects with their main focus being on upgrading their Azure Data Platform and optimising it.

You will be working with various people across their Data Analytics team and be given the opportunity to develop your skills further with their dedicated training budget.

**This is a salaried position of up to £70,000 depending on experience.

They pride themselves on being an employee orientated business and as such, they strongly believe in providing a healthy work life balance.

Applicants will be working mainly remote, but with an expectation to travel to their office in Lichfield 1-2 days per month.

Additional benefits include Flexible working to fit around school drop offs/pick up times, pension contribution, 22 days holiday + bank hols which can be taken anytime, training and development opportunities
**I am looking for...

(a mixture of the following, not necessarily all)

  • Azure, Data Factory, Synapse, Data Lake
  • Strong experience with SQL, T-SQL
  • Data Warehousing experience
  • DevOps or Jira
  • Management or mentoring experience
  • Great communication skills
***This is a great opportunity to work within an established team and upskill in Azure Technologies. With their dedicated training budget, you will be given the opportunity to really upskill yourself and work towards hitting your career aspirations.

Key Skills:
Microsoft, Azure, Cloud, Engineer, Data Engineer, SQL, T-SQL, Data Factory, Synapse, Data Lake, Data Warehouse, ETL, Pipelines, DevOps, Remote

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