Senior Data Engineer, Accounting

🕒 Yesterday

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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.Why this score:

• Open for 1 day.
• Jobs at this company usually fill in 37 days.
• No salary listed.

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Communicate complex financial data structures and nuances to business stakeholders to drive informed decision-making • Translate accounting and finance business requirements into actionable technical solutions • Implement and monitor efficient data ingestion and transformation from multiple source systems, including financial modules and ERPs, for Microsoft Fabric reporting • Maintain enterprise-level Fabric lakehouses, warehouses, and Power BI semantic models tailored to financial analytics • Map data and logic from different ERP systems, such as general ledgers, accounts payable/receivable, and asset management, into central database sources • Deliver accounting business needs on schedule • Support ongoing development of a modern, scalable financial data warehouse and reporting platform • Partner with business analytics and data architecture teams to ensure data alignment and availability • Locate, translate, and consolidate financial data into sustainable fact tables for accounting and financial reporting

🎯 Requirements

• 6+ years of experience • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, Finance, Accounting, or an equivalent field • 6 years of experience in data engineering or data analytics • High level of expertise in SQL • High familiarity with the Microsoft Fabric platform, infrastructure, and Power BI data modeling/reporting • Familiarity with data modeling, data governance frameworks, and data quality management • Demonstrated ability to gather and consolidate different streams of financial data into centralized locations • Experience translating complex business needs into actionable technical solutions • Demonstrated success in communication across business domains • Proficiency in Python is a plus • Technical familiarity with ERP systems (e.g., D365, Microsoft Navision) is a plus • Background in Accounting/Finance business processes is highly preferred • Excellent communication (written, verbal, and presentation) and interpersonal skills • Ability to build and maintain relationships by engaging business process owners to establish credibility, solve problems, and build consensus • Excellent time management, facilitation, and organizational skills • Ability to estimate technical work and build out a task plan and timeline with a project manager • Flexible with a proven ability to conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilities • Technically competent with Microsoft Office (Word, Excel, PowerPoint, Outlook, Project, SharePoint), Planview, and ServiceNow • Comfortable in a standard office environment with prolonged sitting in front of a computer

🏖️ Benefits

• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues • Work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines • Exposure to breakthrough AI, ML, data, and cloud technologies • Gain exposure working with Fortune 500 companies

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