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3 дня назад

Data Engineer - BI/Data (AI)

50 000 - 70 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer - BI/Data (AI) (Snowflake/Python/AWS): Building Xelix’s analytics data platform, including ingestion pipelines, a data lake, and a Snowflake warehouse, with an accent on AI-native development, data reliability, and financial-data security. Focus on change data capture from Postgres, monitoring and data quality, cost control, and building datasets for AI model evaluation.

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

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

Company

hirify.global provides AI solutions that automate and strengthen financial controls for Accounts Payable teams.

What you will do

  • Build and operate ingestion from platform databases and business tools such as HubSpot, Xero, Intercom, and Gong into the data lake and Snowflake warehouse.
  • Build pipelines, checks, and infrastructure code using AI coding agents while owning design, review, and reliability.
  • Set up change data capture from Postgres read replicas so analytics does not access production databases.
  • Own monitoring, data quality, platform reliability, and cost control.
  • Collaborate with the Platform Team on data contracts and production-data access.
  • Build datasets with AI Engineering for model evaluation and processing-accuracy measurement.

Requirements

  • Solid experience as a data engineer building production pipelines into a cloud data warehouse; Snowflake is preferred.
  • Daily experience using AI coding agents for pipelines, SQL, tests, and infrastructure code, including verifying their output.
  • Strong SQL and Python skills, plus experience with dbt and a managed ingestion tool such as Fivetran or Airbyte.
  • Hands-on Postgres experience, including replication or change data capture.
  • AWS experience with S3, RDS, and IAM, plus infrastructure as code.
  • A security-minded approach to sensitive financial data, including access controls, retention, and auditability.
  • The role suits an experienced mid-level engineer ready for broader ownership or someone already operating at senior level.

Culture & Benefits

  • Hybrid work with one day per week at a dog-friendly Hoxton office, which has an on-site gym.
  • 27 days of annual leave, including three Christmas-closing days, with the option to roll over three days.
  • Private medical and dental cover through Vitality and enhanced parental leave pay.
  • £1,000 annual personal learning and development budget.
  • Carbon-neutral operations, team socials, activities, and an annual team retreat.
  • Full-time employment with standard Monday-to-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; AI may be used for research and preparation but not to generate answers during live interviews.

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