Lead Data Engineer

Job not on LinkedIn

🕒 2 days ago

🇨🇦 Canada – Remote

💵 $155k - $166k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Trolley

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🔌 API

Consulting • Logistics • API

Trolley is the payouts platform for the internet economy, formerly known as Payment Rails. Their vision is to unlock the collective economic opportunity of the internet by building a global payouts ecosystem. Through a powerful platform and API, Trolley enables businesses to automate and manage payouts, collect recipient tax and banking information, and mitigate fraud, reaching a vast workforce globally. Trolley simplifies global mass payouts for various sectors including online marketplaces and on-demand platforms, serving over 1. 1 million individuals globally.

📋 Description

• Manage, coach and develop the data engineer on your team, with regular one to ones and clear goals • Set standards for code review, testing, documentation and data on-call • Plan the team's work with Engineering, Finance and Product • Help shape the team as it grows, including hiring • Own Trolley's Databricks lakehouse end to end: ingestion, modelling, quality and cost • Build and run pipelines from the production platform, Salesforce, NetSuite and third-party sources • Keep internal reporting in Sigma accurate, fast and self-serve • Make pipelines observable and recoverable • Run data behind month-end close, revenue calculations and vendor cost reconciliation • Support audits and year-end reconciliation • Build and improve customer-facing data products, including the data connector and embedded reporting • Work on data features such as fraud and risk signals • Build data foundations for safe AI tools and agents • Use AI to build, test and document pipelines faster • Identify and evidence opportunities for data and AI to improve the product and team workflows • Bring Jira and GitHub data into the warehouse to measure engineering delivery • Apply data management and privacy policies, partnering with InfoSec and Compliance on access, retention and audit requirements

🎯 Requirements

• 7+ years in data engineering, with ownership of a production data platform • Experience leading other engineers: managing, mentoring or leading a small team day to day • 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 your own engineering work, and clear thinking about where AI helps and where it doesn't • Comfortable as the most senior data person in the company, with a lot of autonomy • Formal people management, and interest in growing a team over time • Fintech, payments or other regulated environments • Customer-facing data products, embedded analytics or data sharing • Building context layers, retrieval or data pipelines for AI agents • Data governance and privacy in practice: PII handling, access control, GDPR

🏖️ Benefits

• Competitive salary • ESOP Program: Meaningful equity and ownership that aligns your success with ours • Extended healthcare benefits from Day 1 • 4 weeks paid vacation per year + public holidays (+ 1 extra vacation day per year of service) • 30 days remote work from anywhere • Gym membership allowance • 1/2 day Fridays off during summer • Company-provided use of Apple MacBook and Mac gear • Join an amazing team of diverse people working together on a common mission

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