Lead Data Engineer

Job not on LinkedIn

🕒 2 days ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

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 if and when the time comes. • 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 with trusted data. • Build and improve customer-facing data products, including the data connector and embedded reporting. • Work with Engineering and Product on fraud and risk signal features. • Build data foundations for safe AI tools and agents. • Use AI to build, test and document pipelines faster. • Identify and demonstrate product and workflow improvements enabled by data and AI. • Bring tools such as Jira and GitHub 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.

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume