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Чётко описанная роль даёт широкую зону ответственности, современный стек и возможность заложить основу новой команды; главный компромисс - высокий темп работы в быстрорастущем стартапе.
Высокий темп
Современный стек
Широкая ответственность
Сфера AI
Бюджет на обучение
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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