Data Engineer – Azure Fabric Engineer Consultant

Job not on LinkedIn

🕒 May 1

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Inter.link

WebsiteLinkedInAll Job Openings

11 - 50 employees

📡 Telecommunications

☁️ SaaS

⚡ Energy

Telecommunications • SaaS • Energy

Inter. link is a company that provides advanced networking solutions, including IP Transit, Carrier Ethernet, and DDoS Protection services. Specializing in delivering high-quality connectivity across over 300 data centers in Europe, Inter. link is known for its flexible network platform that allows for quick provisioning and customization via a self-service portal or API. The company is dedicated to sustainability, holding certifications such as B Corporation and PAS 2060 for carbon neutrality. Inter. link aims to meet high standards of performance with a focus on latency, uptime, and environmental responsibility, making it an ideal partner for businesses seeking efficient and sustainable connectivity solutions.

📋 Description

• You’ll lead client discovery to understand business goals, data landscape, constraints, and success metrics—then translate findings into a clear delivery plan. • You’ll design and recommend data lake, Lakehouse, data warehouse, and analytical data store architectures on Azure and Microsoft Fabric aligned to client needs. • You’ll implement (and/or guide implementation of) ingestion, transformation, and orchestration pipelines using Microsoft Fabric experiences and Azure services (e.g., Data Factory, Synapse, Databricks). • You’ll integrate data from operational systems, APIs, and third-party sources and transform raw data into curated datasets ready for consumption. • You’ll build and maintain analytics-ready data models and schemas; implement enrichment, business rules, and reusable patterns for consistency across projects. • You’ll enable multiple compute engines (SQL, Spark/PySpark, Spark SQL, KQL) to run against shared datasets, supporting diverse analytics scenarios. • You’ll design and build AI-enabled analytics and data products, including agentic workflows (e.g., retrieval-augmented generation patterns), ensuring solutions are scalable, secure, and aligned with responsible AI practices. • You’ll establish data quality practices (validation, reconciliation, testing) and monitoring, troubleshoot failures, and continuously improve pipeline resiliency. • You’ll optimize transformations, query performance, and pipeline execution to meet client SLAs and cost objectives. • You’ll implement logging, metrics, and operational runbooks, and support deployments, cutovers, and hypercare as needed. • You’ll design and implement security, governance, and compliance controls (access, least privilege, data protection, lineage) across Azure and Fabric. • You’ll facilitate workshops and communicate architecture tradeoffs, partnering with client stakeholders, architects, analysts, and BI developers to deliver trusted datasets. • You’ll produce clear consulting deliverables (design docs, diagrams, implementation guides) and enablement materials to support adoption and smooth handoff.

🎯 Requirements

• Experience designing and delivering modern analytics platforms (Lakehouse and/or data warehouse patterns) on Azure and/or Microsoft Fabric, including client-facing delivery. • Strong SQL skills with experience building transformations and dimensional/analytical models. • Hands-on experience with Spark (PySpark/Spark SQL) and/or KQL for data engineering and analytics workloads. • AI development experience, including designing agentic solutions (multi-step/tool-using workflows) that leverage enterprise data (e.g., retrieval-augmented generation patterns). • Experience building reliable data pipelines, including orchestration, scheduling, error handling, and automated monitoring. • Knowledge of data quality practices (validation, reconciliation, testing) and incident triage/root-cause analysis. • Working knowledge of Power BI (including semantic modeling concepts) to support end-to-end analytics delivery; Power Apps experience is a plus. • Understanding of security and governance concepts for data platforms (access controls, least privilege, compliance, lineage). • Strong communication skills, with the ability to present recommendations, align stakeholders, and manage expectations in a client environment.