Data Engineer - Azure
- Location London
- Job type Contract
- Salary £550 umbrella - inside of IR35
- Discipline Local Government
- Reference J110325
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