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.

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