Senior Data Engineer – Azure Data Lake, Databricks, ADF, SQL, Spark, Python, Blob Storage

Job title : Senior Data Engineer – Azure Data Lake, Databricks, ADF, SQL, Spark, Python, Blob Storage
Location : London
Job type : Permanent
Salary : £75000 - £85000 per annum
Sector : Insurance
Contact : Catherine Newton
Call : 020 7280 9904
Email : email Catherine
Reference : BHJOB6067_17134
Senior Data Engineer – Azure Data Lake, Databricks, ADF, SQL, CI/CD, Spark, Python, Blob Storage

Senior Data Engineer required to join an innovative insurance organisation, working within a team of data engineers that build and run the core components of an effect Azure Data Lake platform, encompassing key services such as Azure Blob Storage, Azure Data Factory, Databricks, SQL Data Warehousing and PowerBI for end-user data analytics and reporting. This role will play a senior role in the continuous utilisation, expansion, and refinement of these services, as well as the development of critical data models. The Senior Data Engineer position will encompass a mix of data engineering and BI development skills, as well as an expectation for the role holder to contribute to technical strategy development; supporting the organisation to continue its journey to develop its data platform on next-generation technology. The ideal candidate will have proven SQL/Azure SQL data warehousing exposure with solid hands-on experience with Azure Data Lake (inc. Blob Storage, Delta), Azure Data Factory and Databricks.
 
Key responsibilities:
  • Design, develop and hold accountability for core data engineering services, such as data orchestration and CI/CD pipelines
  • Design and develop models and databases both relational and dimensional to support reporting requirements
  • Create reporting solutions in line with standards, architectural principles and practices
  • Design and developer ETL processes, data lake architecture, data warehouse databases, data marts, cubes, reports and dashboards

Required skills:

  • Solid hands-on experience with Azure Data Lake (incl. Blob Storage, Delta) Azure Data Factory and Databricks
  • Proven experience of SQL/Azure SQL data warehousing
  • Proven experience of data engineering activities such as release management, environment controls, CICD pipeline orchestration
  • Experience working with Python and Spark
  • Proven ability of Microsoft BI software development including database / reporting development, full development cycle
  • Strong data modelling, problem solving, information analysis, attention to detail, flexibility of approach


Cornwallis Elt is an Employment Agency & Employment Business and has been listed 3 times in The Sunday Times Virgin Fast Track 100 of the UK`s fastest growing private companies, as well as in the Recruitment International Top 250, Top 50 in IT and the Recruiter Fast 50 & Hot 100 reports.