Comtrade System Integration, founded in 2001 as part of Comtrade Group, specializes in cloud-based digital transformation and the design, development, integration and management of systems and applications.
Our domains of expertise include Cloud Services, Data Analytics, Digital Business Automation, Security, CRM, AI and more. Through partnerships with global vendors, including Microsoft, Oracle, IBM, we offer premium IT products that accelerate digital innovation.
Our team comprises of 250+ IT experts who leverage their deep domain knowledge, top industry certifications and experience to help businesses optimize their IT resources and adopt digital technology faster and more effectively than their competitors.
Our growing company Comtrade System Integration is currently seeking Senior Data Engineer – to join our DATA Analytics team.
Key responsibilities:
- Play a key role in dynamic project teams, delivering expert guidance and industry best practices for both cloud-based and on-premises Data Lake, Data Warehouse (DWH), and Business Intelligence (BI) implementations.
- Design comprehensive ETL/ELT frameworks and source-to-target mappings that maximize performance on modern cloud platforms while ensuring smooth interoperability with on-premise systems. Develop and maintain scalable pipelines, integration workflows, and automated data loading processes utilizing both modern cloud services and traditional on-premise tools.
- Work closely with the DATA Analytics and Business Development teams to drive business growth by supporting technical presales activities. Collaborate on the creation of compelling technical documentation and solution proposals (RFIs, RFPs), ensuring all customer needs are addressed—whether in cloud, hybrid, or on-premises environments.
- Stay at the forefront of data engineering trends by continuously exploring new tools, frameworks, and methodologies. Share your expertise and insights to elevate team performance and deliver transformative business impact.
Requirements:
- Education: Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field
- At least 4 years of working data analytics experience – Data Warehouses, Business Intelligence, Data Integration, Big Data or other similar projects (part of internal team or in company providing IT services for those clients).
- Strong experience with SQL, Python, Scala or other data engineering languages.
- Comprehensive knowledge and hands-on experience with cloud architecture, preferably Azure. Familiarity with other cloud platforms like AWS, OCI or Google Cloud is advantage.
- Experience with big data frameworks and tools (Spark, Hadoop, Databricks).
- Familiarity with DevOps practices and CI/CD pipelines for data solutions in the cloud is plus.
- Data engineering certification like: Databricks Certified Data Engineer Professional, Microsoft Certified: Fabric Data Engineer Associate or equivalent are preferred.
- Excellent verbal and written communication and presentation skills in English.
Our offer:
- Opportunity to collaborate with an outstanding team of people
- Engage with a passionate Data and AI teams, working together on cutting-edge solutions that make a real impact in a dynamic, forward-thinking environment.
- Participate in diverse and challenging projects for leading clients, allowing you to expand your skills and knowledge in meaningful ways
- Gain hands-on experience with the latest innovative technologies in data engineering and analytics
- Access continuous learning opportunities, including professional certifications and trainings, to support your ongoing personal and professional growth and advancement
- Opportunity to take on a leadership role as a tech lead, guiding and mentoring a group of professionals
- A chance to influence a strategy of a recognized and innovative service provider in Adriatic region.
- Encouragement of innovation and questioning the status quo, sharing ideas and knowledge
