Senior Data Engineer

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.

Requirements:

- 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)

Will be a plus:

• 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

Responsibilities:

- 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

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.