Senior AI Data Software Engineer

We are looking for a Senior AI Data Software Engineer to join our Data Competency Center and make our team even stronger. The projects and technologies we are working with are very diverse and cover all technologies currently present on the market and represented by open-source communities. We are providing our services to Clients in different domains: Financial, Health Care, Insurance and many others, so you will have a chance to develop yourself in any direction you want.

• 4+ years experience in software development with Data Software Engineering technologies
• Advanced knowledge of Python
• Proficient with Spark and Databricks
• Experience with cloud platforms such as Azure, Amazon Web Services, and Google Cloud Platform
• Experience with AI development tools eg. Claude Code, Github Copilot, Cursor
• Strong understanding of data file formats like JSON, Parquet, Avro
• Hands-on experience with SQL and NoSQL databases, including Cassandra and MongoDB
• Proficiency in data warehousing solutions and ETL processes
• Bachelor’s degree in Computer Science, Mathematics or related technical field
• Detail-oriented with excellent analytical and problem-solving skills
• Knowledge of software development methodologies and best practices
• Exceptional oral and written communication skills in English (B2+)

Nice to have:

• Experience with message queues, specifically Kafka, and large data transfer applications/middleware
• Production experience in search technologies such as Solr, OpenSearch, or Lucene
• Knowledge of Scala or Java

• Implement data ingestion from sources including RDBMS, REST HTTP API, flat files, Streams, Time series data, and SAP
• Research and utilize Data Software Engineering technologies for effective data ingestion
• Process and transform data using tools such as Spark, Databricks, and various Cloud Services
• Participate in next waves of AI Adoption by implementing agentic development environments
• Understand and execute project-specific business logic through programming languages supported by the primary data platform
• Optimize data retrieval, develop dashboards, and perform data validation
• Collaborate with data scientists, analysts, and IT professionals
• Provide thought leadership on Data Software Engineering best practices and technology trends
• Maintain and ensure integrity and security of data sources and platforms
• Perform troubleshooting, debugging, and upgrading of data systems and applications