Data Engineering Lead

Job not on LinkedIn

🕒 March 10

🇨🇦 Canada – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.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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Future Works

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Future Works is a company that specializes in providing digital transformation solutions for industries looking to enhance their business operations using AI-driven technology and custom software. They focus on a range of sectors including real estate, aerospace, energy and climate, delivering innovative solutions that aim to modernize systems, streamline operations, and improve market positions. Future Works offers next-generation digital transformation, innovation and R&D services, and strategic branding. They pride themselves on their proprietary expertise and a strong blend of technology and design. Their services empower companies to succeed in a rapidly evolving technological landscape.

📋 Description

• Data Ingestion & Structuring: Lead the extraction, ingestion, and harmonization of historical freight, order, inventory, and complex carrier rate card data from diverse legacy sources. • Schema Design: Define "Minimum Viable Attributes" and architect a unified, canonical data schema that normalizes client data for downstream consumption. • Pipeline Development: Build robust, reusable ETL/ELT pipelines to facilitate rapid and structured analysis in a highly regulated environment. • Quality Assurance for Modelling: Ensure data quality, completeness, and readiness are sufficient to train predictive machine learning models and run optimization simulations. • Infrastructure Collaboration: Work alongside the Solutions Architect to stand up and operate within a secure, single-tenant sandbox environment ensuring strict data isolation. • Hypothesis Validation: Support the Operations Strategy team by providing the necessary data structures to decompose current allocation logic, enabling the identification of wrong-node, mode-mix, and escalation drivers.

🎯 Requirements

• 5+ years of senior-level data engineering experience with a proven track record of designing data architecture, data lakes/warehouses, and complex ETL/ELT pipelines. • Technical Mastery: Deep proficiency in Python, advanced SQL, and modern data processing libraries • Cloud Expertise: Hands-on experience working within cloud environments to deploy secure, high-performance data infrastructure (e.g., PostgreSQL). • Domain Knowledge: Previous experience working with supply chain, logistics, or ERP data (shipment histories, inventory levels, freight billing) is highly preferred. • Agile Execution: Ability to thrive in rapid, hypothesis-driven sprint cycles (12-week models) where the focus is on validation experiments rather than traditional, slow IT delivery. • AI-Native Workflow: Comfort utilizing LLM code assistants (e.g., Cursor, Copilot) and agentic engineering to multiply your productivity and enhance code quality.

🏖️ Benefits

• Work from anywhere, forever - We are a fully remote and global team. We trust you to manage your time and energy to deliver exceptional results. • Connect deeply - We gather for immersive, all-expenses-paid company retreats in unique locations to connect, learn, and grow together. • Share in the upside - A competitive compensation package including equity, bonuses, substantial participation in company profits with a clear growth path to C-Level leadership based on performance.