Software Engineer (Data Platforms & Automation)

Computappoint Limited
London, UK
1 day ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
£169,000.0
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) .NET Framework Application Programming Interfaces (APIs) C Sharp (Programming Language) Databases Extract Transform Load (ETL) Python (Programming Language) Microsoft SQL Server Oracle (Applications) Windows PowerShell Power BI Ansible
+8 more
Unstructured Data Enterprise Data Management ReactJS Indexer Infrastructure Automation Frameworks Data Management Front End Software Development Data Pipelines

Job description

  • Design and develop scalable ETL and data ingestion pipelines
  • Build APIs and search interfaces for enterprise data platforms
  • Develop automation and self-service capabilities to streamline onboarding processes
  • Create analytics and reporting solutions that provide meaningful business insights
  • Contribute to the design and optimisation of underlying platform infrastructure
  • Work closely with engineers, architects, product teams, and business stakeholders
  • Produce high-quality, well-tested, and well-documented code
  • Drive innovation and continuous improvement across the platform

Requirements

Are you a Software Engineer who enjoys solving complex data challenges and building scalable enterprise solutions?, * Strong experience with Python and/or PowerShell

  • Commercial experience with C#, JavaScript, or .NET
  • Front End development experience, ideally using React
  • Strong background building ETL processes and data pipelines
  • Experience working with structured and unstructured datasets
  • Excellent analytical and problem-solving abilities
  • Comfortable working across multiple technologies and disciplines

Desirable Experience:

  • Ansible or infrastructure automation tools
  • MSSQL, Oracle, or similar database technologies
  • Search and indexing platforms
  • Object storage or enterprise data archiving solutions
  • Power BI or data visualisation tools

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