Future Works

Future Works

Data Engineer

Canada · Senior

Sponsorship not specifiedDetected 70 days ago
PythonNode.jsFull-Stack DevelopmentData StructuresSQLPostgreSQLCloud PlatformsMachine LearningData EngineeringLLMsSupply ChainLogisticsERPCollaboration

About the role

  • You will be accountable for extracting and unifying highly fragmented historical logistics data to power advanced AI simulations.

Responsibilities

  • 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.
  • 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.
  • Build robust, reusable ETL/ELT pipelines to facilitate rapid and structured analysis in a highly regulated environment.
  • 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.
  • We use AI as a natural extension of our abilities to deliver faster, smarter, and better work.
  • We trust you to manage your time and energy to deliver exceptional results.

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).
  • 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.
  • Deep proficiency in Python, advanced SQL, and modern data processing libraries
  • 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.

Nice to have

  • Previous experience working with supply chain, logistics, or ERP data (shipment histories, inventory levels, freight billing) is highly preferred.
  • Domain Knowledge: Previous experience working with supply chain, logistics, or ERP data (shipment histories, inventory levels, freight billing) is highly preferred.

Skills

  • Hands-on experience working within cloud environments to deploy secure, high-performance data infrastructure (e.g., PostgreSQL).

Compensation

  • 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.

Benefits

  • 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.

Company info

  • optimization lowers need for resources, which increases sustainability and resilience.
  • We are a team of "Time Benders" on a mission to collapse timelines to operational transformation of high footprint companies in energy, real estate, data and beyond.
  • Together, we master velocity.
  • We achieve our mission by building flawless, AI-powered systems.
  • Our technology is already far more advanced than that of boutique services firms, but we are only getting started and the road from here leads to becoming world's best Service-as-Software company.
  • Regardless of the specific role, our ideal candidate will always have a keen interest in building symbiotic human-AI systems both individually and for teams; high energy, high agency and a certain passion for bending time.
  • We are direct, honest, and clear with each other, believing that transparent feedback is a gift.
  • We are obsessed with quality and empower each other to break through boundaries and set new standards.
  • We are relentlessly curious and improve every single week, sharing our learnings openly to elevate the entire organization.
  • Work from anywhere, forever - We are a fully remote and global team.
  • We are a fully remote and global team.
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This listing is sourced directly from Future Works's careers page and normalized into a canonical job model.