- 5+ years of experience in Data Engineering
- Strong experience with Microsoft SQL Server, T-SQL, Stored Procedures, UDFs, data modeling
- Hands-on experience with PySpark, Spark, SQL, distributed data processing
- Experience building ETL/ELT pipelines in modern data platforms
- Familiarity with Microsoft Fabric or similar platforms (Databricks, Snowflake, Azure Synapse)
- Experience working with large datasets (Big Data processing)
- Solid understanding of data modeling concepts (dimensional modeling, star schema)
- Experience with notebook-based development environments
- Experience with Microsoft Fabric (Lakehouse, Warehouse, OneLake)
- Experience migrating legacy systems to cloud data platforms
- Familiarity with C#-based data integrations
- Experience with real-time or streaming data pipelines
- Knowledge of data governance and data quality frameworks
- Experience with CI/CD for data pipelines
- Design, build, and maintain scalable data pipelines within Microsoft Fabric
- Execute migration from Microsoft SQL Server (T-SQL, Stored Procedures, UDFs, Triggers, Constraints, C# integrations) to Fabric
- Implement and support Lakehouse architecture (Bronze / Silver / Gold layers):
- Ingest raw data into Bronze layer using PySpark and Spark SQL
- Develop transformation logic using PySpark and notebook-based workflows
- Build refined datasets in Silver layer using T-SQL, UDFs, and Stored Procedures
- Deliver business-ready data models in Gold layer
- Convert legacy SQL Server logic (Stored Procedures, UDFs) into scalable ELT pipelines
- Develop and optimize Spark jobs (PySpark, Spark SQL) for large-scale data processing
- Work with T-SQL notebooks and Warehouse layers for structured analytics
- Ensure data quality, consistency, and reliability across pipelines
- Optimize performance and cost of data workloads
- Collaborate with Data Architects, Analysts, and BI teams to deliver high-quality datasets
- Participate in code reviews and enforce best practices in data engineering
- Monitor and troubleshoot data pipelines and production issues
Let’s breathe life into great tech ideas! With 3 000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world.
We are looking for a highly skilled Senior Data Engineer to support and execute the transformation of our data platform from a legacy Microsoft SQL Server-based environment to a modern architecture built on Microsoft Fabric.
This role is hands-on and focuses on building scalable data pipelines, implementing Lakehouse architecture, and enabling efficient data processing using Spark and SQL technologies.
At Intellias, where technology takes center stage, people always come before processes. We’re dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.
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