Senior Data Platform Engineer with Azure Databricks

Holisticon Insight is a data-focused technology and consulting company, part of the Nexer Group. They build data platforms and data-intensive systems solving real business problems, working end-to-end from integrating data, building scalable pipelines, to delivering analytics and AI solutions. Their projects often combine data engineering, cloud, and software development, including systems that generate data such as IoT and digital platforms. The company values strong engineering skills, autonomy, and collaboration with a flat organizational structure and small teams.

• 5+ years of professional experience as a Data Engineer or in a similar role.
• Strong hands-on experience with Databricks and modern data platform development.
• Solid experience with Azure Data Factory and the broader Azure data ecosystem.
• Good understanding of DataOps, DevOps practices, CI/CD pipelines, and infrastructure maintenance.
• Experience processing data from various sources, including relational and non-relational databases, and REST APIs.
• Experience designing and implementing data architectures and scalable data processing solutions.
• Strong SQL skills and proficiency in Python for data engineering workloads.
• Experience supporting production environments, deployments, monitoring, and troubleshooting.
• Familiarity with data streaming technologies and real-time data processing concepts is a strong advantage.
• Experience working in consulting environments or roles requiring high ownership and independent decision-making.
• Ability to proactively drive initiatives, define priorities, and balance technical excellence with pragmatic business needs.
• Strong collaboration skills and willingness to mentor junior team members.
• Ability to communicate clearly with both technical and business stakeholders.
• Excellent English communication skills and location of candidate in Poland or other EU country.

• Design, develop, and maintain scalable data pipelines and data platform solutions using Azure technologies.
• Build and enhance new features for the client's growing data platform ensuring high quality and maintainability.
• Take ownership of technical decisions, architecture design, and implementation of data solutions from concept to production.
• Collaborate with data scientists, business stakeholders, and technical teams to deliver reliable data products.
• Support and mentor less experienced data engineers by sharing knowledge and promoting engineering best practices.
• Manage production deployments, monitor platform performance, and ensure operational stability of data services.
• Contribute to platform maintenance, troubleshooting, and continuous improvements across the data ecosystem.
• Design, develop, and optimize streaming and batch data processing pipelines for large-scale datasets.
• Work autonomously identifying priorities, proposing solutions, implementing them, and taking responsibility for their long-term success.

Excellent English communication skills and candidate must be located in Poland or another EU country.