via Oraclecloud
$90K - 130K a year
Design and implement scalable data solutions and pipelines using Microsoft Fabric and Azure with AI-assisted workflows.
6+ years in data engineering with SQL, Python (PySpark), Azure, and preferably Microsoft Fabric, able to work independently.
Ciklum is looking for a Senior Data Engineer to join our team full-time in the US . We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. We are seeking a highly motivated and hands-on Full Stack Data Engineer with strong experience in Microsoft Fabric and modern Azure-based data platforms. The ideal candidate should be capable of working across the full stack of data engineering — from ingestion and transformation to Gold-layer curation, analytics enablement, API integration, and AI-assisted application workflows. This role requires engineers who can work independently, leverage AI-assisted development for rapid delivery, and collaborate across data, cloud, and lightweight application layers. Exposure to MCP (Model Context Protocol), ReactJS integration, and modern AI-enabled engineering practices is highly preferred. Responsibilities: * Fabric Ecosystem & Full Stack Data Engineering * Manage OneLake structures and shortcuts for scalable enterprise data access * Design scalable Lakehouse solutions using Medallion Architecture (Bronze, Silver, Gold) * Build and optimize Delta Lake tables for analytics, reporting, and AI workloads * Develop data pipelines using Fabric Data Factory, Spark, and Notebooks * Create ingestion and transformation workflows for structured and semi-structured data * Implement orchestration, scheduling, monitoring, and recovery for enterprise pipelines * Design dimensional models (Star/Snowflake schemas) for BI and semantic layers * Build curated Gold-layer datasets for analytics and AI consumption * Support integration with Power BI semantic models and reporting platforms * Azure, Integration & Full Stack Development * Develop batch and incremental pipelines across Azure and external systems * Orchestrate ETL/ELT workflows using Fabric Pipelines and Azure Data Factory * Integrate Fabric platforms with APIs, AI services, and enterprise applications * Support MCP integration, AI workflows, and rapid prototyping initiatives * Collaborate on ReactJS-based apps, dashboards, and AI-driven user experiences * Automate workflows using Azure Functions, Logic Apps, Git, CI/CD, and Azure DevOps * Data Processing, Optimization & AI-Assisted Development * Develop and optimize PySpark notebooks for transformation, cleansing, and enrichment * Build efficient SQL queries, views, and stored procedures in Fabric Warehouse / Azure SQL * Implement optimization techniques including partitioning, caching, and query tuning * Monitor pipeline performance, troubleshoot failures, and improve system reliability * Implement logging, alerting, and operational best practices * Utilize AI-assisted development tools such as GitHub Copilot and modern AI coding assistants * Rapidly prototype and deliver scalable engineering solutions with minimal guidance * Governance, Security & Collaboration * Implement RBAC and secure data access across Fabric workspaces and Azure environments * Apply data quality validations and governance best practices * Support metadata management and lineage using Microsoft Purview * Collaborate with Data Architects, Analysts, BI Developers, Product Teams, and Business Stakeholders * Translate business requirements into scalable data and application solutions * Participate in Agile delivery processes, code reviews, and pull request workflows Requirements: * 6 years in Data Engineering * Hands-on exposure to Microsoft Fabric (preferred) or strong Azure Data Engineering background with willingness to learn Fabric * Microsoft Fabric (Data Factory, OneLake, Synapse Data Engineering – basics) * Azure Data Services: ADLS Gen2, Azure SQL, Blob Storage * Strong SQL (joins, aggregations, performance tuning basics) * Python (PySpark) for data transformation * Azure Data Factory / Fabric Pipelines Desirable: * Azure Functions / Logic Apps * Event Hubs / streaming concepts * Microsoft Purview (basic exposure) * Cosmos DB What`s in it for you? * Strong community: Work alongside top professionals in a friendly, open-door environment * Growth focus: Take on large-scale projects with a global impact and expand your expertise * Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications * Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies * Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the US, Ciklum is growing fast—inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand. Want to learn more about us? Follow us on Instagram [https://www.instagram.com/ciklum/], Facebook [https://www.facebook.com/Ciklum/], LinkedIn [https://www.linkedin.com/company/ciklum/]. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum. #LI-AV3
This job posting was last updated on 5/13/2026