Junior Data Engineer
Posted 1 day ago by 1771062511
£370 Per day
Outside
Onsite
City of London, London
Summary: The Junior Azure Data Engineer role involves joining a cloud-native data team for a 6-month contract with potential for extension. The position focuses on enhancing and optimizing a Databricks-based data platform to support advanced analytics and business insights. Candidates should have experience in building and optimizing data pipelines using Azure Data Factory, Python, and SQL. The role requires collaboration with analytics and business teams to drive value from the data platform investment.
Key Responsibilities:
- Enhance & develop an existing Azure Databricks data platform to improve performance, scalability & usability
- Design, build & optimise data pipelines using Python & SQL within Azure
- Work closely with analytics & business teams to enable advanced analytics use cases
- Identify opportunities to improve data architecture, processes & platform efficiency
- Contribute to best practice engineering standards within a cloud-native environment
Key Skills:
- 1 -2 years' hands-on experience as a Data Engineer in Azure environments. Insurance or Specialist Insurance experience would be beneficial.
- Strong Python coding capability with demonstrable experience building production-grade pipelines
- Solid SQL expertise & experience working with structured & unstructured datasets
- Proven experience working with Azure Databricks
Salary (Rate): £370 per day
City: City of London
Country: United Kingdom
Working Arrangements: on-site
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
Role: Junior Azure Data Engineer
Length: 6 Month Contract (Scope to Extend)
Location: 3 Days per Week Onsite
Rate: £350 - £370 p/d Outside IR35
A data-driven Specialty Insurer is seeking a hands-on Junior Azure Data Engineer to join their established cloud-native data team on an initial 6-month contract, with strong scope for extension.
The organisation has invested significantly in building out a modern Databricks-based data platform over recent years. The focus now shifts to driving value from that investment, enhancing, optimising & further developing the platform to support advanced analytics & business insight.
You will have demonstrated experience building & optimizing pipelines using ADF, with strong Python & SQL coding ability & demonstratable experience working on Databricks platform.
Responsibilities:
- Enhance & develop an existing Azure Databricks data platform to improve performance, scalability & usability
- Design, build & optimise data pipelines using Python & SQL within Azure
- Work closely with analytics & business teams to enable advanced analytics use cases
- Identify opportunities to improve data architecture, processes & platform efficiency
- Contribute to best practice engineering standards within a cloud-native environment
Requirements:
- 1 -2 years' hands-on experience as a Data Engineer in Azure environments. Insurance or Specialist Insurance experience would be beneficial.
- Strong Python coding capability with demonstrable experience building production-grade pipelines
- Solid SQL expertise & experience working with structured & unstructured datasets
- Proven experience working with Azure Databricks
