Senior Data / Software Engineer (Azure, Databricks) B2B

We are looking for a Senior Data / Software Engineer to join long-term enterprise projects in the insurance and automotive sectors. You will be part of a high-impact team working on modern cloud data platforms, helping clients transform legacy SQL-based systems into scalable, cloud-native architectures on Azure.

This is not a pure analytics role — we are looking for an engineering-driven mindset, with strong focus on data processing, software quality, and platform scalability.

Responsibilities

• Design and build scalable data pipelines on Azure

• Migrate complex SQL-based logic into modern Data Lake architectures

• Refactor and optimize data processing workflows (ETL/ELT)

• Translate legacy business logic (stored procedures) into Python / PySpark

• Collaborate with cross-functional teams in Agile environments

• Contribute to data platform architecture and engineering standards

Qualifications

• University degree in computer science, mathematics, physics or similar field

• Strong Python & SQL expertise (MS SQL) – ability to understand and refactor complex stored procedures and business logic

• Hands-on experience with modern data platforms – Databricks, Delta Lake, PySpark, Azure Data stack

• Proven track record in data migration – transforming legacy SQL-based systems into scalable Data Lake architectures

• Solid data modelling skills – designing and evolving schemas for both transactional and analytical systems

• Engineering mindset – clean code, DevOps practices, and experience working in Agile environments

• Fluent English and Polish language skills

About Cluster Reply

Cluster Reply is the Reply Group company specializing in consulting and system integration of Microsoft technologies. As a Microsoft partner, Cluster Reply is active in Germany, Austria and Switzerland and works within the Reply network with sister companies in Brazil, Great Britain, Italy as well as the USA. The company focuses on innovation and supports customers in their digital transformation. The solutions range from on-premises to cloud applications in the areas of modern workplace and security, business applications, applications and infrastructure as well as data and artificial intelligence.