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Senior Data Engineer Role

Pearson Carter
Job LocationLondon
EducationNot Mentioned
Salary£70,000 - £80,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Senior Data Engineer RolePearson Carter are currently working with an social policy software and analytics company who are looking for a Data Engineer to join their Team. In this role their is an opportunity to take responsibility and lead on new development work.Responsibilities:

  • You will be responsible for ensuring that the team maintains and improves the quality of our data pipelines, and their downstream products
  • Leading the data team, growing junior team members
  • Full-stack development including front-end, back-end, CICD, IaC and security
  • Ensuring the security of data entrusted to the organisation, minimising the risk of security breach, potential data loss or downtime
Experience:
  • AWS / Node.js (RDS PostgreSQL, Fargate, Lambda, S3, Step Functions)
  • Stata and Excel (used by policy and analysis teams)
  • Python & Docker
  • Github & CI/CD
SalaryThey offer an excellent salary: £70,000 - £80,000LocationThis client has multiple offices in Lincolnshire and want the candidate to be office based 3-4 times a week.Applications are welcome from professionals with Data Engineer experience.How to ApplyPlease apply asap with your CV to be considered for this position. You can also get in touch with me on or .Azure, Microsoft, IaaS, PaaS, SaaS, Cloud, Office 365, Infrastructure, DevOps, CI, CS, Pipelines, Data, Engineer, Architect, Platform, Security, Servers, Storage, Development, Applications, Virtualisation, Hardware, Software, Hybrid, Middleware, Runtime,App, Virtual, Computing, Apps, Application, Bespoke, Ireland, Northwest, Dublin, Cork, United Kingdom, Newcastle, London, Nottingham, Lincoln, SysRemote, Azure SQL, London, Microsoft Azure, Microsoft Azure Tech, Azure Tech, Remote Working, Project Manager,IT Project, IT Project Manager, Security, Cloud, 365, Sentinel, PowerShell, Python, KQL, Sutton, Onsite, Hybrid , Office

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