We are seeking a Senior Data Engineer to design, build, and scale enterprise-grade data platforms leveraging Microsoft Fabric . This role focuses on data engineering, platform architecture, and enterprise data integration, transforming fragmented data landscapes into robust, automated, and scalable data platforms.

You will play a key role in enabling enterprise analytics by designing modern Lakehouse architectures, building reliable ETL/ELT pipelines, and ensuring high-performing, scalable data solutions while driving the adoption of modern DevOps-driven data engineering practices.

Start Date: ASAP

Location: Remote (India)

Key Responsibilities

Data Platform & DevOps

- Design and maintain Fabric deployment pipelines across Dev, UAT, and Production environments
- Implement CI/CD practices using Git (Azure DevOps or GitHub)
- Automate environment parameterization (data sources, Lakehouses, endpoints)
- Define and enforce development standards, governance, and documentation

Data Engineering (Microsoft Fabric)
- Architect scalable data platforms using Medallion architecture (Bronze / Silver / Gold)
- Build and orchestrate ETL/ELT pipelines (Data Factory, Dataflows Gen2)
- Develop transformations using PySpark and SQL
- Design and maintain Fabric Lakehouses and Warehouses
- Integrate data from enterprise systems (e.g. SAP HANA, Azure SQL, APIs, Snowflake)

Performance & Platform Reliability
- Optimize end-to-end data pipelines for performance and scalability
- Ensure high standards of data quality, reliability, and maintainability




- Support scalable and efficient data processing across the platform

Business Collaboration
- Collaborate with business and technical stakeholders to understand and define data requirements
- Translate business needs into scalable data engineering solutions
- Work closely with cross-functional teams to deliver enterprise data platforms

Required Skills & Experience

Technical Expertise

- Strong experience with Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Dataflows Gen2)
- Strong understanding of Lakehouse and Medallion architecture
- Proficiency in SQL and PySpark/Python
- Experience building ETL/ELT pipelines
- Experience integrating enterprise data sources (e.g. SAP HANA, Azure SQL, APIs, Snowflake)
- Experience with Git-based version control and CI/CD processes

Requirements
- 6+ years in Data Engineering, Data Platform Engineering, or Analytics Engineering
- Hands-on experience with modern cloud data platforms (Fabric/Azure)
- Microsoft Certification (e.g. DP-700 Microsoft Fabric Data Engineer Associate)
- Experience in Finance, FP&A;, or regulated environments
- Fluency in English is required. Knowledge of French and/or Dutch is considered a strong asset.

Key Competencies
- Solid architectural mindset with focus on scalability and performance
- Ability to translate business needs into data solutions
- Strong consulting mindset with the ability to define requirements collaboratively with stakeholders
- Autonomous, proactive, and comfortable working with senior stakeholders
- Focus on quality, performance, and continuous improvement

📌 Data Engineer - Microsoft Fabric (India)
🏢 ATCON GLOBAL
📍 India