Data Engineer - Azure

Posted 10 hours 19 minutes ago by Venn Group

Permanent
Not Specified
Factory Jobs
London, United Kingdom
Job Description

Venn Group are working with a local authority client in London to recruit an Azure Data Engineer to expand their Internet of Things and Smart Cities capabilities.

  • IR35 Status: Inside
  • Rate: £550 umbrella per day
  • Working pattern: Hybrid - London

As a Data Engineer, you will play a pivotal role in shaping how data is harnessed to drive decision-making and enhance services across the council. You will work within a dedicated product team, designing and developing high-quality data solutions that ensure data integrity, accessibility, and scalability.

You will be responsible for building and running data products and services that generate high-quality insights, supporting the council's mission to use data effectively in service delivery. This is an exciting opportunity to influence how a high-profile local authority utilises data to benefit its residents and stakeholders.

Responsibilities:

  • Develop, optimise, 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
  • Utilise Python for data pipeline development and visualisation
  • Deploy applications using Docker and contribute to CI/CD pipelines

Desirable skills:

  • 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 modelling and deploying applications using Docker
  • Familiarity with CI/CD operating models and best practices in data engineering