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Data Engineer - Local Authority

Spencer Clarke Group
Posted 8 hours ago, valid for 19 days
Location

London, Greater London EC1R 0WX

Salary

£427 per day

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • My client in Greater London is seeking a skilled Data Engineer for a contract role, offering a salary of £427+ per day, negotiable based on experience.
  • The position involves developing and maintaining scalable data pipelines, ensuring data quality, and building data products for insights.
  • Candidates with local authority or public sector experience are preferred, along with extensive experience in cloud data engineering, particularly in Azure Data Factory, Synapse, and Snowflake.
  • Proficiency in Python, SQL, NoSQL databases, and knowledge of dimensional modeling and Docker deployment is essential.
  • The role is hybrid, with working hours from 09:00 to 17:00, Monday to Friday, and requires significant experience in developing reusable data pipelines.

My client in Greater London is looking to appoint a talented Data Engineer on a Contract basis.

The role will play a pivotal role in shaping how data is harnessed to drive decision-making and enhance services across the council.

Local Authority and/or Public Sector experience is preferred.

About the role:

Based in Greater London (Hybrid):

  • Develop, optimize, and maintain scalable data pipelines and architectures.
  • Ensure high data quality and availability, both internally and externally shared datasets.
  • Build and run data products to provide high-quality insights.
  • Work with modern data engineering tools and cloud-based technologies, such as Azure Data Factory, Synapse, and Snowflake.
  • Implement dimensional data models and work with SQL and NoSQL databases, including time-series databases like InfluxDB.
  • Utilize Python for data pipeline development and visualization.
  • Deploy applications using Docker and contribute to CI/CD pipelines.

About you:You will have the following experiences:

  • Extensive experience in developing scalable, reusable data pipelines on cloud services.
  • Strong cloud data engineering experience, particularly in Azure Data Factory, Synapse, and Snowflake.
  • Proficiency in Python, SQL, and NoSQL databases, with a focus on time-series databases (e.g., InfluxDB).
  • Knowledge of dimensional modeling and experience deploying applications using Docker.
  • Familiarity with CI/CD operating models and best practices in data engineering.

What's on offer:

  • Salary: £427+ per day, inside IR35

*negotiable based on experience

*please submit your CV with the rate you require

  • Hybrid working
  • Contract type: Contract
  • Hours: 09:00 -17:00 Monday to Friday

How to apply

  • Once your CV is received, if you are successful you will be contacted.
  • Due to the extremely high number of applications, it may not be possible to contact every applicant. As such, if you are not contacted please assume you have not been successful on this occasion.

About Spencer Clarke Group

Here at Spencer Clarke Group, we pride ourselves on connecting you with the best career opportunities; our experienced Consultants have extensive market knowledge and will also provide expert career advice along the way.

When you join us, you will receive:

  • Access to a wide range of temporary and permanent opportunities
  • Free DBS checks
  • Post Placement Aftercare
  • Loyalty reward scheme and regular competitions for our agency professionals

INDSCG3

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.