Data Engineer (Azure & Databricks)

Holisticon Insight is a division of Nexer Group focused on IoT, AI, and advanced analytics. They assist customers in developing IoT services, portals, and mobile apps, and analyze data using AI and advanced analytics to reduce costs, streamline, and find new business opportunities. The company values competency growth, a flat structure, and self-organized teams.

• 4+ years of experience as Data Engineer.
• Strong expertise in Databricks Lakehouse, including Delta Lake, Apache Spark, and MLflow.
• Hands on experience with Azure services in modern data platforms.
• Practical knowledge of Azure DevOps, Git-based workflows, and CI/CD processes.
• Experience with ETL/ELT tools such as Azure Data Factory, Databricks, dbt Cloud, Snowflake.
• Experience with Data Lakes or Lakehouse architectures.
• Strong SQL skills and solid grounding in information and dimensional modelling.
• Experience with data governance management and working in regulated environments; finance or FS&I is a plus.
• Background in hybrid data environments and on premises integrations.
• Experience with platform migrations is a strong advantage.
• Python programming skills are a strong plus, especially for data engineering and analytics workflows.
• Ability to communicate clearly with both technical and business stakeholders.
• Excellent English communication skills.

• Develop and operate scalable, robust analytical models and modern data pipelines.
• Design and build data platforms, data models, and ETL/ELT workflows.
• Innovate with customers to identify new opportunities and drive data driven value.
• Champion best practices in architecture, data quality, reliability, and performance.
• Leverage Microsoft Azure services for data processing, transformation, orchestration, and storage.
• Construct top tier cloud solutions that enable customers to adopt a modern data driven approach.
• Support migrations from on premises to cloud and hybrid integrations.
• Act as a technical advisor, problem solver, and trusted partner to business stakeholders.

• Recruitment process consists of: initial interview (30 minutes), technical interview (60 minutes), and client interview (1 hour).