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Data Engineer | Global Insurance Firm | London

  • Location:


  • Sector:

    Informationstechnologie, Pensions, Engineering

  • Job type:


  • Salary:

    £70000 - £75000 per annum

  • Contact:

    Rhys Scott-Samuel

  • Contact email:

  • Job ref:


  • Published:

    23 Tage her

  • Expiry date:


Data Engineer | Global Insurance Firm | London

My client is a Global insurance firm based in London and they are on the market looking for a Data Engineer to sit within their Data Engineer team and be a technical SME for their Core Data Platform.


  • Support and provide technical expertise across core data production services ensuring that business needs are meet effectively within risk and performance parameters.
  • Use analytical and problem-solving skills to diagnose technical and data issues when incidents occur or as highlighted by users.
  • Collaborate with the other IT Operational teams and Data Development team for solution hand-over to production.
  • Work with the Systems, Application and Testing teams to facitilate data system upgrades
  • Improve upon processes, controls and procedures that add value to the team and company with respect to data quality, data security, robustness, best-practice, reliability, performance, scalability, company strategy and team efficiency.
  • Provide remediation of vulnerabilities, working closely with the Security Team to ensure the Data Engineering team are complying with the IT Security Policy and meeting Risk and Audit requirements.

Skills needed:

  • Strong SQL programming and DBA skills on database technologies such as Oracle, MS SQL Server, Azure SQL.
  • Experience of ETL tools such as ADF, IBM DataManager, MS SSIS, IBM DataStage.
  • Experience of reports using tools such as Cognos BI, MS Power BI.
  • Knowledge of Business Intelligence and Data Warehouse methodologies and practices and reading logical and physical data modelling diagrams.
  • Experience of using data and meta data comparison tools such as Excel vlookups, pivots, Beyond Compare.
  • Experience in Unix or Linux operating system
  • Good business knowledge of fixed income products (bonds and swaps)
  • Azure cloud technologies e.g. sql, logging, integration patterns elastic query
  • ITIL practices
  • Experience in the insurance, pension or finance industry.

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