D365 Customer Insight Data Engineer

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DysrupIT

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

Enterprise • SaaS • Cybersecurity

DysrupIT is a global cloud services and IT solutions firm that helps organizations adopt cloud technologies and transition to as-a-Service business models. The company provides enterprise cloud, managed services, application engineering, cybersecurity, and data analytics & information management, serving SMBs through multinational enterprises with Microsoft and other cloud platforms. DysrupIT also emphasizes community impact, talent development, and long-term partnerships to deliver secure, scalable, and business-aligned technology outcomes.

📋 Description

• D365 CID administration & support • Support and extend an existing CID setup onboard new sources, tune unification rules, manage refresh schedules and environment configuration. • Triage and resolve CID issues raised by the customer’s business and IT teams: failed refreshes, broken segments, profile-count discrepancies, export failures, permission issues. • Manage Support tickets with Microsoft relating to CID issues. • Operate and support upstream data pipelines feeding CID. • Validate data on date and data fitness for CID (schema, keys, types, nulls, duplicates) — and fix or escalate when it isn’t. • Build and maintain monitoring on pipeline runs, refresh status, row counts, and SLAs. • Perform root-cause analysis end-to-end — source → lake → pipeline → CID → consumer — and produce clean write-ups and permanent fixes, not just patches. • Run regular service reviews with the customer’s data and CRM stakeholders, log changes through formal change control, and keep documentation current.

🎯 Requirements

• 3–6 years in a data engineering, data operations, or BI/analytics engineering role. • Hands-on production experience with Dynamics 365 Customer Insights — Data (formerly Customer Insights / CDP): data sources, unification, segments, measures, exports, environment administration. • Strong Azure Data Lake Storage Gen2 experience — folder structures, CDM folders, Delta / Parquet, access control, ingestion patterns. • Practical ability to read, debug, and modify .NET / C# console applications that orchestrate data pipelines — enough to triage failures, fix logic bugs, and ship small enhancements. • Solid SQL and data modelling fundamentals; comfortable with large data volumes and performance troubleshooting. • Disciplined incident management — clean tickets, clear comms, structured root-cause analysis. • Exposure to Microsoft Fabric (Lakehouse, OneLake, Dataflows Gen2, Notebooks, Pipelines) is strongly preferred. • Python for data wrangling and notebook work. • Experience supporting customers across multiple time zones (AU and/or Middle East a plus).

🏖️ Benefits

• Professional development opportunities