As a BI Engineer, you will develop and maintain data solutions (back and front end) using Azure Data Platform and Power BI, while collaborating across SGS teams. You'll contribute to delivering data products per the NextGen Data roadmap. Implement data/BI solutions aligned with SGS governance and best practices.
Job listings
As a Senior Data Engineer at Nearform your main task will be designing, building, and maintaining scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, and other relevant technologies. You will play a key role in building efficient data solutions, optimizing performance, and ensuring seamless data integration. You'll also design, build, and optimize data pipelines and ETL processes for large-scale data ingestion and transformation.
This role support the implementation and automation of key rotation policies and secure credential storage across our cloud infrastructure. You will collaborate with the Data Engineering team to ensure proper access control and encryption practices are enforced in all ETL pipelines and data services and assist in developing monitoring and alerting systems for key usage and rotation schedules.
Looking for a seasoned AI/ML Architect to enhance our talented team with expertise in Machine Learning & Artificial Intelligence engineering and infrastructure, with an emphasis on Generative AI based systems; responsible for developing and implementing automation and DevOps methodologies, including CI/CD, Infrastructure as Code (IaC), and containerization, to establish a scalable Machine Learning and Artificial Intelligence infrastructure.
Lead the development and enhancement of a secure, scalable, and efficient data platform for a high-profile government client. This role is pivotal in designing and delivering batch and real-time data processing solutions using both commercial and open-source technologies. As a technical leader, you'll be responsible for leading data engineering efforts, mentoring junior engineers, and ensuring data architecture aligns with business and compliance requirements.
This role focuses on building intelligent systems that transform unstructured documents and structured system data into actionable knowledge, connected via an evolving knowledge graph. This position will develop and integrate named entity recognition (NER), topic modeling, correlation algorithms, and a recommendation system to link extracted insights across domains powering intelligent applications for decision support, analytics, and automation.