Data Engineer - London, United Kingdom - eFinancialCareers

Tom O´Connor

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Tom O´Connor

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Description
cer Financial are working alongside a bank who are based in the City of London, they are looking for a Data Engineer to join them on a permanent basis


The Responsibilities of a Data Engineer Will Include:

  • Design, develop, and hold accountability for data engineering services, including storage, orchestration, transformation and semantic layer
  • Design & build ELT processes, data warehouse architectures, data marts, cubes, reports and dashboards; inline with company reporting strategy & best practise
  • Design & build relational and dimensional models
  • Create reporting solutions in line with standards, architectural principles and practices
  • Assess change impact on live systems and processes
  • Work in an agile, proactive manner; delivering high quality solutions in agreed timescale
  • Assess business requirements and help drive change to ensure reporting solutions add business value
  • Follow & enforce the best practises, standards and design principles covering all aspects of data lifecycle management
  • Ensure that adequate steps are taken to protect data and the data platform
  • Stay abreast of technology trends, data engineering techniques/standards to provide input on the strategic roadmap
  • Ensure the bank maintains a low technical debt & identify area(s) for automation & improvement
  • Develop Proof of Concepts to prove that business requirements can be met by solutions
  • Lead on data engineering activities such as release management, environment controls, pipeline orchestration
  • Perform Data modelling, problem solving and data analysis

The Successful Data Engineer Will Have:

  • Proven experience of BI / Data Warehouse technologies, specifically with an in depth exposure of MS SQL
  • Effective interpersonal skills and relationshipbuilding skills
  • Experience utilising the Microsoft BI stack (AZURE, ADF, Azure Blob storage, Synapse and PowerBI
  • Experience of technologies such as Google BigQuery
  • IT professional with prior experience in a financial services business with knowledge of banking processes would be at an advantage
  • Exceptional analytical and problemsolving abilities, with keen attention to detail
  • Excellent written and verbal communication skills
  • Experience working in a teamoriented, collaborative environment
  • A desire and willingness to assist with and own people's problems to resolution
**If you are interested in this role please contact Stephen Coffey on

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