Data Engineer

Backend + Data Engineer 6 month Contract Hybrid About Insight Insight Enterprises, Inc. is a Fortune 500 solutions integrator helping organizations accelerate their digital journey to modernize their business and maximize the value of technology. Insight’s technical expertise spans cloud and edge-based transformation solutions, with global scale and optimization built on 33+ years of deep partnerships with the world’s leading and emerging technology providers. In 2024, Insight had revenues of US$ 8.7 billion, and over 14,000 employees. It has a US$1.7 billion services business, bolstered by recent acquisitions in cloud, CRM, software engineering, and business consulting. In EMEA, Insight operates in Austria, Belgium, Bulgaria, France, Germany, Ireland, Italy, Moldova, Netherlands, Sweden, Romani, Saudi Arabia, Spain, Switzerland, UK, Ukraine, and United Arab Emirates. Description We are seeking a highly skilled and motivated Backend + Data Engineer to join our AI Coach development team. In this role, you will be designing, building, and maintaining our backend infrastructure and data pipelines that power our core applications and data analytics capabilities. You will collaborate closely with cross-functional teams including frontend, AI engineering and product managers, and frontend developers to deliver scalable, reliable, and efficient solutions. This position requires a strong foundation in backend systems, proficiency in database management, and expertise in data engineering to handle large datasets and ensure data quality and availability. You will have the opportunity to work on new Insight initiatives to bring AI solutions to the wider Insight sales community. Responsibilities: • Design, develop, and maintain backend services and APIs to support business applications. • Build and optimize scalable data pipelines and ETL processes to ingest, process, and transform large volumes of data. • Ensure data quality, integrity, and consistency across multiple data sources and databases. • Collaborate with data scientists and analysts to enable efficient data access and analysis. • Implement monitoring, alerting, and performance tuning for backend systems and data workflows. • Participate in architectural discussions and contribute to technology roadmap decisions. • Troubleshoot and resolve backend and data-related issues promptly to minimize downtime. • Develop and maintain documentation for backend systems and data engineering processes. Requirements • Proven experience as a backend engineer and data engineer or in a combined role. • Proficiency in programming languages such as Python, JavaScript and SQL • Strong understanding of relational and NoSQL databases, including experience with query optimization. • Hands-on experience with data pipeline and workflow management tools like Apache Airflow or similar. • Familiarity with cloud platforms (AWS, GCP, or Azure) and associated data services. • Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. • Excellent problem-solving skills and ability to work independently and in a team environment. • Strong communication skills to collaborate effectively across multiple teams.