IT & Software

Software Engineer, Data

Jobtailor

London · England · United Kingdom


  • Build and maintain ingestion pipelines into the data warehouse using Fivetran and custom pipelines

  • Own data orchestration to keep data moving on schedule and recover cleanly from failures

  • Build and manage AWS-based data infrastructure as code with Terraform

  • Build enterprise-grade customer data pipelines and connectors for HR, payroll, and other systems

  • Reliably and securely move customer data in and out at enterprise volumes

  • Connect data to AI agents and services, including through MCP connectors

  • Work with product and stakeholders to scope problems and agree on simple, scalable solutions

  • Build according to security practices such as the OWASP Top 10 and AWS Well-Architected Framework


Requirements



  • Strong experience with Python and SQL

  • A few years building and running production data pipelines that other people relied on

  • Comfortable with infrastructure as code, ideally Terraform

  • Hands-on AWS experience, for example Lambda, ECS, Glue, S3, and RDS

  • Good grasp of ETL/ELT and orchestration

  • Experience building or running data integrations and connectors is a plus

  • Solid software engineering fundamentals, including clean code, sensible design, and reliable tests

  • Security awareness when building applications and configuring infrastructure

  • Knowledge of enterprise data expectations

  • Experience with customer-facing HRIS or payroll integrations via SFTP and in EDI format is nice to have

  • Experience with MCP server development or preparing data for AI agents is nice to have

  • Eligibility to work in the UK without visa sponsorship

  • Ability to commute to the London offices at least 3 times per week; Monday, Tuesday, and Thursday are mandatory


Core Competencies


Demonstrates expertise in building and maintaining data ingestion pipelines using Fivetran and custom solutions, with a strong focus on AWS infrastructure as code using Terraform. Proficient in Python and SQL, with a solid understanding of ETL/ELT processes and security best practices.

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Reference: WJ-766_21697467

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