Software Developer

Key responsibilities:

Design, build, and maintain scalable data pipelines on Databricks (ETL/ELT workflows)

Develop high-quality, efficient code using Python (PySpark) and SQL for data transformation and processing

Optimize data pipelines and Spark workloads for performance, scalability, and reliability

Work with large-scale structured and unstructured datasets using Apache Spark and Delta Lake

Collaborate with analysts, and stakeholders to deliver data-driven solutions

Required Skills & Experience:

Strong hands-on experience with Databricks and Apache Spark

Advanced coding skills in Python (PySpark) and SQL (mandatory)

Experience building data pipelines, ETL/ELT processes, and data models

Good understanding of data warehousing and Lakehouse architectures

Good understanding of PowerBI or other visualisation tools

Familiarity with cloud platforms (Azure / AWS ...