Lead Data Engineer

Job not on LinkedIn

🔥 7 minutes 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.

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MTN Industrial

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏭 Manufacturing

🏗️ Construction

Manufacturing • Construction

MTN Industrial is a global expert in industrial lifting and rigging solutions, with a history spanning over 40 years. Founded in 1979, the company specializes in manufacturing and maintaining industrial components and heavy-duty material handling equipment. MTN Industrial provides a wide range of crane systems and lifting and hoisting products, focusing on safety and adherence to strict industry regulations. The company caters to various business needs, whether for smaller jobs or major construction projects, establishing itself as a premier industrial equipment supplier in America.

📋 Description

• Manage, coach and develop the data engineer on the team • Set standards for code review, testing, documentation and data on-call • Plan team work with Engineering, Finance and Product • Help shape and grow the team, including hiring when needed • Own the Databricks lakehouse end to end, including ingestion, modelling, quality and cost • Build and run pipelines from the production platform, Salesforce, NetSuite and third-party sources • Maintain accurate, fast and self-serve internal reporting in Sigma • Make pipelines observable and recoverable • Run data supporting month-end close, revenue calculations and vendor cost reconciliation • Support audits and year-end reconciliation • Build and improve customer-facing data products, including data connectors and embedded reporting • Partner with Engineering and Product on fraud and risk data features • Build data foundations for safe use by AI tools and agents • Use AI to build, test and document pipelines faster • Identify and support product and team improvements using data and AI • Bring Jira and GitHub data into the warehouse to measure engineering delivery • Apply data management and privacy policies • Partner 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 • Preferred: Formal people management, and interest in growing a team over time • Preferred: Fintech, payments or other regulated environments • Preferred: Customer-facing data products, embedded analytics or data sharing • Preferred: Building context layers, retrieval or data pipelines for AI agents • Preferred: 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 • Diverse team working together on a common mission

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