5 дней назад
Lead Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (AI/Databricks): Owning and evolving Trolley's Databricks lakehouse, production data pipelines, reporting, and customer-facing data products with an accent on data reliability, finance data, privacy, and AI foundations. Focus on leading a data engineer, building observable and recoverable pipelines, supporting fraud and risk signals, and creating governed context for AI tools and agents.
Location: Remote within Quebec, Ontario, or Nova Scotia, Canada
Company
provides a payouts platform and API for internet businesses, helping companies automate global payments, tax and banking data collection, fraud prevention, and risk management.
What you will do
- Manage, coach, and develop a data engineer while setting standards for code review, testing, documentation, and on-call practices.
- Own the Databricks lakehouse, including ingestion, modelling, data quality, cost management, and operational reliability.
- Build and operate pipelines from production systems, Salesforce, NetSuite, and third-party sources.
- Support finance processes including month-end close, revenue calculations, vendor cost reconciliation, audits, and year-end reporting.
- Build customer-facing data products such as data connectors and embedded reporting, and support fraud and risk data features.
- Create governed data foundations for AI tools and agents while partnering with InfoSec and Compliance on privacy, access, retention, and audit requirements.
Requirements
- 7+ years of experience in data engineering with ownership of a production data platform.
- Experience managing, mentoring, or leading engineers on a small team.
- Deep experience with Databricks or a similar lakehouse, SQL, and Python.
- Experience building reliable pipelines from operational databases and SaaS systems.
- Experience supporting finance or accounting processes with data.
- Hands-on use of AI tools in engineering work and the autonomy to act as the most senior data professional in the company.
Nice to have
- Formal people-management experience and interest in growing a data team.
- Fintech, payments, or other regulated-industry experience.
- Experience with customer-facing data products, embedded analytics, or data sharing.
- Experience building context layers, retrieval systems, or data pipelines for AI agents.
- Practical data governance and privacy experience, including PII handling, access control, and GDPR.
Culture & Benefits
- Work remotely within Quebec, Ontario, or Nova Scotia, with 30 days of remote work from anywhere.
- Competitive salary and an ESOP program.
- Extended healthcare benefits from the first day.
- Four weeks of paid vacation per year plus public holidays and an additional vacation day per year of service.
- Gym membership allowance, summer half-day Fridays, and company-provided Apple equipment.
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