At a Glance
- Tasks: Join our Data and Insight Team to develop and maintain data pipelines in Azure.
- Company: Bristol City Council, committed to making the city better through data-driven decisions.
- Benefits: Flexible working, generous leave, and a supportive environment.
- Other info: Diverse workplace with opportunities for career development and support for disabled applicants.
- Why this job: Make a real impact on Bristol's future while growing your data engineering skills.
- Qualifications: Experience in data engineering and Azure technologies is essential.
The predicted salary is between 42839 - 46142 £ per year.
A great opportunity has arisen to join Bristol City Council’s Data and Insight Team at an exciting time as we develop our Azure Fabric Data and Analytics Platform. You will join a team providing corporate wide data and analytics to achieve the strategic objective of becoming increasingly data driven to facilitate better decision making.
We require an enthusiastic, self‑motivated and experienced Data Engineer that will be responsible for the loading and transformation of data from source systems into our Azure Fabric environment. You will have good experience and a strong understanding of developing and maintaining data loading pipelines/data analytics design principles as well as functions and technologies within Azure Data Lakes/Fabric.
You will be monitoring and maintaining existing pipelines as well as developing new processes within the Azure Fabric platform for the purposes of enabling data analytics to gain insight. Working within the Data & Insights Team you will develop processes to automate data loads on an agreed schedule, ensure data quality and maintain security.
You will also work collaboratively with the Data Management Lead and Data Analytics Team ensuring that data is managed and transformed appropriately and compliantly for use in PowerBI reports. You will need an enquiring mind and to be capable of troubleshooting and resolving often complex data related processes using Azure based applications.
Join us and you’ll receive an excellent rewards package including flexible working and flexitime, membership of the Local Government Pension scheme, and a generous annual leave allowance. In addition, you’ll be working in a supportive environment where you’ll have the chance to make Bristol a better place and contribute to its future.
We’re a Disability Confident employer which means we value recruiting and retaining disabled people. Any job applicants who consider themselves to be disabled and meet the essential criteria in the Person Specification are guaranteed an interview. We’ll make reasonable adjustments throughout the interview process and provide continued workplace support throughout your career.
For further information, please refer to the Job Description and Person Specification or alternatively, please contact Paul Horton at paul.horton@bristol.gov.uk.
At Bristol City Council, we value having a workforce as diverse as the city we serve. We therefore welcome, develop and promote people from all sections of the community. Appointments will be made on merit.
Data Engineer in Bristol employer: Bristol City Council
Bristol City Council is an exceptional employer, offering a supportive work culture that prioritises employee well-being and professional growth. As a member of the Data and Insight Team, you will enjoy flexible working arrangements, a generous leave allowance, and the opportunity to contribute to meaningful projects that enhance the community. With a commitment to diversity and inclusion, Bristol City Council ensures that all employees feel valued and supported throughout their careers.
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We think this is how you could land Data Engineer in Bristol
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We think you need these skills to ace Data Engineer in Bristol
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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