Software Engineer, Data

• 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.