Senior Big Data Software Engineer [Databricks, Azure, AI]

We are seeking a skilled Big Data Engineer to become an essential part of this forward-looking and dynamic team.

In this role you will leverage advanced cloud technologies to deliver impactful solutions.

If you excel at tackling complex challenges creating robust cloud-based solutions and driving meaningful business outcomes this opportunity offers the chance to join a fast-paced collaborative environment where your work shapes global success.

• Build scalable cloud-based systems in Azure using tools like Azure Data Factory Azure Data Lake Storage and Databricks to enhance seamless high-performance data pipelines
• Migrate on-premises MS SQL databases to Azure Data Lake utilizing the Delta Lake format to optimize operational performance
• Develop interfaces that connect non-Microsoft proprietary applications enabling interoperability and unlocking valuable data insights
• Provide expertise in Data Lakes Data Warehouses (DWH) and Delta Lakehouse architectures to guide transformative business solutions
• Assess new feature proposals prioritize them based on business value and collaborate to make impactful product development decisions

• 4 years of experience as a Data Engineer
• Background in working with Python or Scala
• Expertise with Databricks or Spark
• Experience with Clouds: AWS or Azure
• Background in working with Agile or XP methodologies thriving in fast-moving adaptive environments
• Experience in AI development would be a plus
• Good English communication skills (Upper-Intermediate/B2 or higher) to engage effectively with diverse teams and stakeholders

• Proficiency in advanced Azure tools such as Synapse Analytics Cosmos DB or Apache Synapse
• Flexibility to use Core Python or Scala for automation and advanced data processing