Azure Data Engineer (Analytics, DataOps)

Job description

SSE has big ambitions to be a leading energy company in a low carbon world. Following our commitment to invest £20.5 billion in low carbon projects to 2027, we have significant growth plans and are well on our way to achieving our ambition to build a world that's more sustainable and inclusive for you, your family, the community you live in and for generations to come.

Join us on our journey to net zero and help us power change.

Base Location:Reading or Havant

Salary: £33,500 - £50,300 + performance-related bonus + a range of other benefits to support your family, finances and wellbeing.

Working Pattern: Permanent | Full Time | Flexible First options available

What is the Role?

This is for the position of Data Engineer in SSE's Group Data and Analytics team.

As a Data Engineer you will be responsible for the design, building, and maintenance of efficient, reusable and reliable data pipelines and ETL processes. You will be expected to analyse requirements and collaborate with team members, and SSE business unit teams, to deliver robust data solutions in an agile environment.

With an ethos of continuous improvement, you will ensure ongoing maintenance and service improvements to data driven solutions and therefore be involved in the development, and ongoing enhancements to data pipelines and other artefacts to ensure alignment with requirements, agreed technical design and security guidelines.

What do I need?

To be considered for this role we would love you to have:

- Commercial experience working as a Data Engineer and an understanding of the full solution development lifecycle from Development through to Production.

- Experience with designing, building, and operating solutions in Azure and use of capabilities such as: Databricks, Azure Data Factory, Azure Data Lake Storage, SQL Database and/or Dedicated SQL Pool (Data Warehouse).

- Appropriately advanced language skills through use of these capabilities (e.g. Python and SQL).

- The ability to carry out assigned data engineering tasks to a high standard for example: The design and building of data models. The design and building of data pipelines for extract-transform-load (ETL) needs. Appropriate data profiling, analysis, the following of established standards, code reviewing, testing and other activities related to good practice and quality assurance.

- Experience in an Agile team for solution development ideally with use of the Azure DevOps tool.

- To supplement Data Engineering skills, and in the knowledge that data will be used for analysis and business intelligence purposes, then experience with visualisation tools (e.g. Power BI) would be advantageous.

About our Business

SSE IT underpins the technology needs of all the different businesses that make up the SSE group. From emerging technologies to data and analytics to cyber security - we power SSE's growth and enable it to generate value, while keeping it secure. As a trusted business partner that helps SSE lead in a low carbon world, we are proud of our service. Working for SSE IT is all about equipping SSE for now and the future.

What's in it for you?

An excellent package with 34 days holiday entitlement, enhanced maternity/paternity leave, discounted healthcare, salary sacrifice car leasing and much more, view our full benefits package on our careers site.

As an equal opportunity employer we encourage diversity and are committed to creating an inclusive environment for all employees. We actively encourage applicants from all protected characteristics and commit to providing any reasonable adjustments required during the application, assessment and upon joining SSE. Search for 'Inclusion & Diversity at SSE' to find out more.

Next Steps

All applications should be submitted online, and I'll be back in touch after the vacancy closing date to let you know the outcome.

If you would like to discuss any working differently requirements or adjustments you may require throughout the recruitment and selection process, please contact David on [email protected] / 01738 275846.

Before commencing employment with SSE, you'll be required to fully complete our pre-employment screening process consisting of a basic criminal records and credit check.

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