About this role
Incelligent builds Big Data, analytics, and AI/ML solutions that help enterprise and public sector organizations advance their digital transformation. Working across a diverse product portfolio, the team applies modern data-driven development practices to create production-ready software that brings together data engineering, analytics, and artificial intelligence for real-world use cases. As a Data Engineer at Incelligent, you will contribute to Cloud-based data engineering initiatives that support robust, scalable data platforms and governance practices. This role is well suited to someone who enjoys working at the intersection of modern data infrastructure and applied innovation, with a particular focus on the Databricks platform, the Azure data ecosystem and the delivery of high-impact solutions for complex organizational environments. Responsibilities Design data lake zones, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data. Work with relational databases, data warehouses, and data lakes as part of modern data platform delivery. Translate responsibly business logic / analysis into production ready pipelines that deliver accurate results for critical business domains Contribute to reusability initiatives, returning implementation assets back to the company to efficiently re-use it in future projects Requirements Minimum Requirements Minimum 4 years of experience in data engineering using at least one core language of Python, Scala, or Java. Strong SQL knowledge with hands-on experience in data modeling, querying, transformation, and optimization. Proven experience with Apache Spark, or a similar distributed data processing framework. Experience using the Databricks Platform (Unity Catalog, Notebooks, SQL Warehouses, LakeFlow) F...