Data Engineer - Platform (AI)

Location: London, UK; hybrid with one day per week at the Hoxton office. Standard working hours are 9:00 AM–6:00 PM, Monday–Friday.

Salary: £50,000–£70,000 per year, depending on experience.

Company

hirify.global is a Series B scale-up building AI solutions that automate and strengthen financial controls and Accounts Payable workflows for large companies.

What you will do

• Improve production data architecture, storage, processing, and scalability for growing data volumes.
• Build reliable data pipelines using tools such as Prefect.
• Optimise PostgreSQL performance and data models, including moving large non-operational data out of PostgreSQL.
• Evaluate and select storage, search, warehousing, and processing technologies, including OpenSearch and column databases.
• Strengthen data quality, retention, access controls, and auditability with security, compliance, and engineering teams.
• Deliver architectural and production improvements with product engineers, AI engineers, and DevOps; at senior level, lead cross-team data architecture decisions and the improvement roadmap.

Requirements

• Professional experience owning and improving the architecture of production data systems in AWS.
• Experience with data access controls, retention, and auditability in regulated environments such as SOC 1, SOC 2, HIPAA, ISO 27001, or similar.
• Strong SQL, PostgreSQL, and data modelling skills.
• Experience with NoSQL databases such as MongoDB, DocumentDB, or DynamoDB, and warehousing solutions such as DuckDB, ClickHouse, or Redshift.
• Solid Python and data pipeline engineering skills.
• Good judgement regarding storage and processing trade-offs, with a focus on reliability, data quality, and security.
• Clear communication and a hands-on, collaborative approach.
• Confidence using AI tools for development, investigation, and documentation, with sound judgement about their value and limitations.
• Suitable for an experienced mid-level engineer ready for broader ownership or an engineer already operating at senior level.

Culture & Benefits

• Hybrid work with one day per week from a dog-friendly Hoxton office with an on-site gym.
• 27 days of annual leave, including three Christmas closing days, with the option to roll over three days.
• Comprehensive private medical and dental cover through Vitality, plus enhanced parental leave pay.
• £1,000 personal annual learning and development budget.
• Carbon-neutral company working toward further carbon reduction, with team socials, activities, and an annual team retreat.
• Full-time employment with standard Monday–Friday working hours.

Hiring process

• Introductory Teams call with a Talent Partner, followed by a 30–45 minute Hiring Manager Teams interview.
• Role-relevant technical task or presentation.
• Final on-site interview with senior leadership and co-founders at the office.
• AI may be used for research and interview preparation, but not to generate answers during live interviews; Metaview AI note-taking is used during interviews and can be declined.