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, Facebook, .

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

Azure Databricks

Microsoft Fabric