Senior Big Data Software Engineer [Databricks, Azure]

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. Responsibilities 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 Requirements 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 Nice to have 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